librarian-bots/dataset_cards_with_metadata_with_embeddings

datasetId stringlengths 2 117	author stringlengths 2 42 ⌀	last_modified timestamp[us, tz=UTC]	likes int64 0 3.89k	tags sequence	task_categories sequence	createdAt timestamp[us, tz=UTC]	card stringlengths 19 1.01M	embedding sequence
open-llm-leaderboard/details_rwitz2__pee	open-llm-leaderboard	2023-12-12T03:55:20Z	0	[ "region:us" ]	null	2023-12-12T03:54:29Z	--- pretty_name: Evaluation run of rwitz2/pee dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rwitz2/pee](https://huggingface.co/rwitz2/pee) 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_rwitz2__pee\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:51:33.544691](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__pee/blob/main/results_2023-12-12T03-51-33.544691.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\": 0.6542170997170107,\n\ \ \"acc_stderr\": 0.03207676007306859,\n \"acc_norm\": 0.6540988805189213,\n\ \ \"acc_norm_stderr\": 0.03274105444201814,\n \"mc1\": 0.4528763769889841,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6056136500975297,\n\ \ \"mc2_stderr\": 0.015324168216531053\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6689419795221843,\n \"acc_stderr\": 0.01375206241981784,\n\ \ \"acc_norm\": 0.6988054607508533,\n \"acc_norm_stderr\": 0.01340674176784764\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6868153754232225,\n\ \ \"acc_stderr\": 0.004628409084218762,\n \"acc_norm\": 0.8688508265285799,\n\ \ \"acc_norm_stderr\": 0.003368735434161383\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.65,\n\ \ \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.65,\n \ \ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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-college_mathematics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.036146654241808254,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.036146654241808254\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\ \ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.025487187147859375,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.025487187147859375\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5079365079365079,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7774193548387097,\n \"acc_stderr\": 0.023664216671642518,\n \"\ acc_norm\": 0.7774193548387097,\n \"acc_norm_stderr\": 0.023664216671642518\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n \"\ acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.793939393939394,\n \"acc_stderr\": 0.0315841532404771,\n\ \ \"acc_norm\": 0.793939393939394,\n \"acc_norm_stderr\": 0.0315841532404771\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.02886977846026705,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.02886977846026705\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6820512820512821,\n \"acc_stderr\": 0.023610884308927865,\n\ \ \"acc_norm\": 0.6820512820512821,\n \"acc_norm_stderr\": 0.023610884308927865\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131147,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131147\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8495412844036697,\n \"acc_stderr\": 0.015328563932669237,\n \"\ acc_norm\": 0.8495412844036697,\n \"acc_norm_stderr\": 0.015328563932669237\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.8186274509803921,\n\ \ \"acc_stderr\": 0.027044621719474082,\n \"acc_norm\": 0.8186274509803921,\n\ \ \"acc_norm_stderr\": 0.027044621719474082\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944863,\n\ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944863\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179323,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179323\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662257,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662257\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7398843930635838,\n \"acc_stderr\": 0.023618678310069367,\n\ \ \"acc_norm\": 0.7398843930635838,\n \"acc_norm_stderr\": 0.023618678310069367\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4044692737430168,\n\ \ \"acc_stderr\": 0.01641444091729315,\n \"acc_norm\": 0.4044692737430168,\n\ \ \"acc_norm_stderr\": 0.01641444091729315\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7106109324758842,\n\ \ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\ \ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48226950354609927,\n \"acc_stderr\": 0.02980873964223777,\n \ \ \"acc_norm\": 0.48226950354609927,\n \"acc_norm_stderr\": 0.02980873964223777\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4634941329856584,\n\ \ \"acc_stderr\": 0.012736153390214961,\n \"acc_norm\": 0.4634941329856584,\n\ \ \"acc_norm_stderr\": 0.012736153390214961\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6781045751633987,\n \"acc_stderr\": 0.018901015322093092,\n \ \ \"acc_norm\": 0.6781045751633987,\n \"acc_norm_stderr\": 0.018901015322093092\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4528763769889841,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6056136500975297,\n\ \ \"mc2_stderr\": 0.015324168216531053\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8176795580110497,\n \"acc_stderr\": 0.010851565594267198\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.709628506444276,\n \ \ \"acc_stderr\": 0.012503592481818952\n }\n}\n```" repo_url: https://huggingface.co/rwitz2/pee leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-51-33.544691.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|gsm8k\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hellaswag\|10_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-33.544691.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-51-33.544691.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '/details_harness\|winogrande\|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T03-51-33.544691.parquet' - config_name: results data_files: - split: 2023_12_12T03_51_33.544691 path: - results_2023-12-12T03-51-33.544691.parquet - split: latest path: - results_2023-12-12T03-51-33.544691.parquet --- # Dataset Card for Evaluation run of rwitz2/pee <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [rwitz2/pee](https://huggingface.co/rwitz2/pee) 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_rwitz2__pee", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:51:33.544691](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__pee/blob/main/results_2023-12-12T03-51-33.544691.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": 0.6542170997170107, "acc_stderr": 0.03207676007306859, "acc_norm": 0.6540988805189213, "acc_norm_stderr": 0.03274105444201814, "mc1": 0.4528763769889841, "mc1_stderr": 0.01742558984831402, "mc2": 0.6056136500975297, "mc2_stderr": 0.015324168216531053 }, "harness\|arc:challenge\|25": { "acc": 0.6689419795221843, "acc_stderr": 0.01375206241981784, "acc_norm": 0.6988054607508533, "acc_norm_stderr": 0.01340674176784764 }, "harness\|hellaswag\|10": { "acc": 0.6868153754232225, "acc_stderr": 0.004628409084218762, "acc_norm": 0.8688508265285799, "acc_norm_stderr": 0.003368735434161383 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7283018867924528, "acc_stderr": 0.027377706624670713, "acc_norm": 0.7283018867924528, "acc_norm_stderr": 0.027377706624670713 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5957446808510638, "acc_stderr": 0.03208115750788684, "acc_norm": 0.5957446808510638, "acc_norm_stderr": 0.03208115750788684 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.025487187147859375, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.025487187147859375 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5079365079365079, "acc_stderr": 0.044715725362943486, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.793939393939394, "acc_stderr": 0.0315841532404771, "acc_norm": 0.793939393939394, "acc_norm_stderr": 0.0315841532404771 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7929292929292929, "acc_stderr": 0.02886977846026705, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.02886977846026705 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9067357512953368, "acc_stderr": 0.02098685459328973, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.02098685459328973 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6820512820512821, "acc_stderr": 0.023610884308927865, "acc_norm": 0.6820512820512821, "acc_norm_stderr": 0.023610884308927865 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131147, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131147 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6848739495798319, "acc_stderr": 0.030176808288974337, "acc_norm": 0.6848739495798319, "acc_norm_stderr": 0.030176808288974337 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.37748344370860926, "acc_stderr": 0.03958027231121569, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.03958027231121569 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8495412844036697, "acc_stderr": 0.015328563932669237, "acc_norm": 0.8495412844036697, "acc_norm_stderr": 0.015328563932669237 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5277777777777778, "acc_stderr": 0.0340470532865388, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.0340470532865388 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8186274509803921, "acc_stderr": 0.027044621719474082, "acc_norm": 0.8186274509803921, "acc_norm_stderr": 0.027044621719474082 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944863, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944863 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7572815533980582, "acc_stderr": 0.04245022486384495, "acc_norm": 0.7572815533980582, "acc_norm_stderr": 0.04245022486384495 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179323, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179323 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 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0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4528763769889841, "mc1_stderr": 0.01742558984831402, "mc2": 0.6056136500975297, "mc2_stderr": 0.015324168216531053 }, "harness\|winogrande\|5": { "acc": 0.8176795580110497, "acc_stderr": 0.010851565594267198 }, "harness\|gsm8k\|5": { "acc": 0.709628506444276, "acc_stderr": 0.012503592481818952 } } ``` ## 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 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7492458820343018, -0.871539294719696, 0.2900969982147217, 0.26503634452819824, -0.13625864684581757, -0.0785757452249527, 0.06087464466691017, -0.21699589490890503, 0.5312336683273315, -0.08284581452608109, -0.5027711391448975, -0.7027801871299744, -0.42946210503578186, 0.21751846373081207, -0.02240174636244774, 0.8331112861633301, -0.15480977296829224, 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open-llm-leaderboard/details_janhq__supermario-v1	open-llm-leaderboard	2023-12-12T03:55:52Z	0	[ "region:us" ]	null	2023-12-12T03:54:50Z	--- pretty_name: Evaluation run of janhq/supermario-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-v1](https://huggingface.co/janhq/supermario-v1) 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_janhq__supermario-v1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:51:54.393256](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v1/blob/main/results_2023-12-12T03-51-54.393256.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\": 0.2686365809879161,\n\ \ \"acc_stderr\": 0.030966991471902273,\n \"acc_norm\": 0.2702927883435164,\n\ \ \"acc_norm_stderr\": 0.031792363135365875,\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871093,\n \"mc2\": 0.472672099464425,\n\ \ \"mc2_stderr\": 0.016538310174069905\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.2295221843003413,\n \"acc_stderr\": 0.012288926760890773,\n\ \ \"acc_norm\": 0.2773037542662116,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.25473013343955386,\n\ \ \"acc_stderr\": 0.004348189459336535,\n \"acc_norm\": 0.2583150766779526,\n\ \ \"acc_norm_stderr\": 0.004368135676213557\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.22962962962962963,\n\ \ \"acc_stderr\": 0.03633384414073461,\n \"acc_norm\": 0.22962962962962963,\n\ \ \"acc_norm_stderr\": 0.03633384414073461\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.03842498559395268,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.03842498559395268\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.21,\n\ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.21,\n \ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2981132075471698,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.2981132075471698,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2638888888888889,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.2638888888888889,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \"acc_norm\"\ : 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.3352601156069364,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.3352601156069364,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082633,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082633\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.20851063829787234,\n \"acc_stderr\": 0.026556982117838728,\n\ \ \"acc_norm\": 0.20851063829787234,\n \"acc_norm_stderr\": 0.026556982117838728\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.23684210526315788,\n\ \ \"acc_stderr\": 0.039994238792813344,\n \"acc_norm\": 0.23684210526315788,\n\ \ \"acc_norm_stderr\": 0.039994238792813344\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.2671957671957672,\n \"acc_stderr\": 0.022789673145776564,\n \"\ acc_norm\": 0.2671957671957672,\n \"acc_norm_stderr\": 0.022789673145776564\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.03861229196653694\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.3161290322580645,\n\ \ \"acc_stderr\": 0.02645087448904277,\n \"acc_norm\": 0.3161290322580645,\n\ \ \"acc_norm_stderr\": 0.02645087448904277\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.28078817733990147,\n \"acc_stderr\": 0.03161856335358609,\n\ \ \"acc_norm\": 0.28078817733990147,\n \"acc_norm_stderr\": 0.03161856335358609\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\"\ : 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2545454545454545,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.2545454545454545,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.35353535353535354,\n \"acc_stderr\": 0.03406086723547153,\n \"\ acc_norm\": 0.35353535353535354,\n \"acc_norm_stderr\": 0.03406086723547153\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.36787564766839376,\n \"acc_stderr\": 0.03480175668466036,\n\ \ \"acc_norm\": 0.36787564766839376,\n \"acc_norm_stderr\": 0.03480175668466036\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.3641025641025641,\n \"acc_stderr\": 0.02439667298509477,\n \ \ \"acc_norm\": 0.3641025641025641,\n \"acc_norm_stderr\": 0.02439667298509477\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.026842057873833706,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.026842057873833706\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.3487394957983193,\n \"acc_stderr\": 0.03095663632856655,\n \ \ \"acc_norm\": 0.3487394957983193,\n \"acc_norm_stderr\": 0.03095663632856655\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.3486238532110092,\n \"acc_stderr\": 0.020431254090714328,\n \"\ acc_norm\": 0.3486238532110092,\n \"acc_norm_stderr\": 0.020431254090714328\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.2549019607843137,\n\ \ \"acc_stderr\": 0.030587591351604246,\n \"acc_norm\": 0.2549019607843137,\n\ \ \"acc_norm_stderr\": 0.030587591351604246\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.20253164556962025,\n \"acc_stderr\": 0.026160568246601457,\n\ \ \"acc_norm\": 0.20253164556962025,\n \"acc_norm_stderr\": 0.026160568246601457\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.10762331838565023,\n\ \ \"acc_stderr\": 0.020799400082879997,\n \"acc_norm\": 0.10762331838565023,\n\ \ \"acc_norm_stderr\": 0.020799400082879997\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.2824427480916031,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.2824427480916031,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.14049586776859505,\n \"acc_stderr\": 0.03172233426002161,\n \"\ acc_norm\": 0.14049586776859505,\n \"acc_norm_stderr\": 0.03172233426002161\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.21296296296296297,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.21296296296296297,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.2331288343558282,\n \"acc_stderr\": 0.033220157957767414,\n\ \ \"acc_norm\": 0.2331288343558282,\n \"acc_norm_stderr\": 0.033220157957767414\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.16071428571428573,\n\ \ \"acc_stderr\": 0.03485946096475741,\n \"acc_norm\": 0.16071428571428573,\n\ \ \"acc_norm_stderr\": 0.03485946096475741\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.3786407766990291,\n \"acc_stderr\": 0.04802694698258972,\n\ \ \"acc_norm\": 0.3786407766990291,\n \"acc_norm_stderr\": 0.04802694698258972\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.19658119658119658,\n\ \ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.19658119658119658,\n\ \ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909281,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909281\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.20434227330779056,\n\ \ \"acc_stderr\": 0.0144191239809319,\n \"acc_norm\": 0.20434227330779056,\n\ \ \"acc_norm_stderr\": 0.0144191239809319\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.2138728323699422,\n \"acc_stderr\": 0.022075709251757183,\n\ \ \"acc_norm\": 0.2138728323699422,\n \"acc_norm_stderr\": 0.022075709251757183\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.27262569832402234,\n\ \ \"acc_stderr\": 0.014893391735249588,\n \"acc_norm\": 0.27262569832402234,\n\ \ \"acc_norm_stderr\": 0.014893391735249588\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.02609016250427905,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.02609016250427905\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.24115755627009647,\n\ \ \"acc_stderr\": 0.024296594034763426,\n \"acc_norm\": 0.24115755627009647,\n\ \ \"acc_norm_stderr\": 0.024296594034763426\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.22530864197530864,\n \"acc_stderr\": 0.023246202647819746,\n\ \ \"acc_norm\": 0.22530864197530864,\n \"acc_norm_stderr\": 0.023246202647819746\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.24113475177304963,\n \"acc_stderr\": 0.025518731049537762,\n \ \ \"acc_norm\": 0.24113475177304963,\n \"acc_norm_stderr\": 0.025518731049537762\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.24445893089960888,\n\ \ \"acc_stderr\": 0.010976425013113886,\n \"acc_norm\": 0.24445893089960888,\n\ \ \"acc_norm_stderr\": 0.010976425013113886\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121593,\n\ \ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121593\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2173202614379085,\n \"acc_stderr\": 0.01668482092914859,\n \ \ \"acc_norm\": 0.2173202614379085,\n \"acc_norm_stderr\": 0.01668482092914859\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.22727272727272727,\n\ \ \"acc_stderr\": 0.04013964554072774,\n \"acc_norm\": 0.22727272727272727,\n\ \ \"acc_norm_stderr\": 0.04013964554072774\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.031362502409358936,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.031362502409358936\n \ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.26865671641791045,\n\ \ \"acc_stderr\": 0.03134328358208954,\n \"acc_norm\": 0.26865671641791045,\n\ \ \"acc_norm_stderr\": 0.03134328358208954\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.1927710843373494,\n\ \ \"acc_stderr\": 0.030709824050565274,\n \"acc_norm\": 0.1927710843373494,\n\ \ \"acc_norm_stderr\": 0.030709824050565274\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.17543859649122806,\n \"acc_stderr\": 0.029170885500727654,\n\ \ \"acc_norm\": 0.17543859649122806,\n \"acc_norm_stderr\": 0.029170885500727654\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871093,\n \"mc2\": 0.472672099464425,\n\ \ \"mc2_stderr\": 0.016538310174069905\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.4909234411996843,\n \"acc_stderr\": 0.014050170094497707\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-v1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-51-54.393256.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|gsm8k\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hellaswag\|10_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-54.393256.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-51-54.393256.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '/details_harness\|winogrande\|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T03-51-54.393256.parquet' - config_name: results data_files: - split: 2023_12_12T03_51_54.393256 path: - results_2023-12-12T03-51-54.393256.parquet - split: latest path: - results_2023-12-12T03-51-54.393256.parquet --- # Dataset Card for Evaluation run of janhq/supermario-v1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [janhq/supermario-v1](https://huggingface.co/janhq/supermario-v1) 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_janhq__supermario-v1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:51:54.393256](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v1/blob/main/results_2023-12-12T03-51-54.393256.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": 0.2686365809879161, "acc_stderr": 0.030966991471902273, "acc_norm": 0.2702927883435164, "acc_norm_stderr": 0.031792363135365875, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871093, "mc2": 0.472672099464425, "mc2_stderr": 0.016538310174069905 }, "harness\|arc:challenge\|25": { "acc": 0.2295221843003413, "acc_stderr": 0.012288926760890773, "acc_norm": 0.2773037542662116, "acc_norm_stderr": 0.013082095839059374 }, "harness\|hellaswag\|10": { "acc": 0.25473013343955386, "acc_stderr": 0.004348189459336535, "acc_norm": 0.2583150766779526, "acc_norm_stderr": 0.004368135676213557 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.22962962962962963, "acc_stderr": 0.03633384414073461, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.03633384414073461 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.3355263157894737, "acc_stderr": 0.03842498559395268, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.03842498559395268 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2981132075471698, "acc_stderr": 0.028152837942493857, "acc_norm": 0.2981132075471698, "acc_norm_stderr": 0.028152837942493857 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082633, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082633 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.20851063829787234, "acc_stderr": 0.026556982117838728, "acc_norm": 0.20851063829787234, "acc_norm_stderr": 0.026556982117838728 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.23684210526315788, "acc_stderr": 0.039994238792813344, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.039994238792813344 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.2671957671957672, "acc_stderr": 0.022789673145776564, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.022789673145776564 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.18, "acc_stderr": 0.03861229196653694, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653694 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.3161290322580645, "acc_stderr": 0.02645087448904277, "acc_norm": 0.3161290322580645, "acc_norm_stderr": 0.02645087448904277 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.28078817733990147, "acc_stderr": 0.03161856335358609, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.03161856335358609 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2545454545454545, "acc_stderr": 0.03401506715249039, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.35353535353535354, "acc_stderr": 0.03406086723547153, "acc_norm": 0.35353535353535354, "acc_norm_stderr": 0.03406086723547153 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.36787564766839376, "acc_stderr": 0.03480175668466036, "acc_norm": 0.36787564766839376, "acc_norm_stderr": 0.03480175668466036 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.3641025641025641, "acc_stderr": 0.02439667298509477, "acc_norm": 0.3641025641025641, "acc_norm_stderr": 0.02439667298509477 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.026842057873833706 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.3487394957983193, "acc_stderr": 0.03095663632856655, "acc_norm": 0.3487394957983193, "acc_norm_stderr": 0.03095663632856655 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.3486238532110092, "acc_stderr": 0.020431254090714328, "acc_norm": 0.3486238532110092, "acc_norm_stderr": 0.020431254090714328 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4722222222222222, "acc_stderr": 0.0340470532865388, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.0340470532865388 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.2549019607843137, "acc_stderr": 0.030587591351604246, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.030587591351604246 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.20253164556962025, "acc_stderr": 0.026160568246601457, "acc_norm": 0.20253164556962025, "acc_norm_stderr": 0.026160568246601457 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.10762331838565023, "acc_stderr": 0.020799400082879997, "acc_norm": 0.10762331838565023, "acc_norm_stderr": 0.020799400082879997 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.2824427480916031, "acc_stderr": 0.03948406125768361, "acc_norm": 0.2824427480916031, "acc_norm_stderr": 0.03948406125768361 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.14049586776859505, "acc_stderr": 0.03172233426002161, "acc_norm": 0.14049586776859505, "acc_norm_stderr": 0.03172233426002161 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.21296296296296297, "acc_stderr": 0.0395783547198098, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.0395783547198098 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.2331288343558282, "acc_stderr": 0.033220157957767414, "acc_norm": 0.2331288343558282, "acc_norm_stderr": 0.033220157957767414 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.16071428571428573, "acc_stderr": 0.03485946096475741, "acc_norm": 0.16071428571428573, "acc_norm_stderr": 0.03485946096475741 }, "harness\|hendrycksTest-management\|5": { "acc": 0.3786407766990291, "acc_stderr": 0.04802694698258972, "acc_norm": 0.3786407766990291, "acc_norm_stderr": 0.04802694698258972 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.19658119658119658, "acc_stderr": 0.02603538609895129, "acc_norm": 0.19658119658119658, "acc_norm_stderr": 0.02603538609895129 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909281, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909281 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.20434227330779056, "acc_stderr": 0.0144191239809319, "acc_norm": 0.20434227330779056, "acc_norm_stderr": 0.0144191239809319 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.2138728323699422, "acc_stderr": 0.022075709251757183, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.022075709251757183 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.27262569832402234, "acc_stderr": 0.014893391735249588, "acc_norm": 0.27262569832402234, "acc_norm_stderr": 0.014893391735249588 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.29411764705882354, "acc_stderr": 0.02609016250427905, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.02609016250427905 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.24115755627009647, "acc_stderr": 0.024296594034763426, "acc_norm": 0.24115755627009647, "acc_norm_stderr": 0.024296594034763426 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.22530864197530864, "acc_stderr": 0.023246202647819746, "acc_norm": 0.22530864197530864, "acc_norm_stderr": 0.023246202647819746 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.24113475177304963, "acc_stderr": 0.025518731049537762, "acc_norm": 0.24113475177304963, "acc_norm_stderr": 0.025518731049537762 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.24445893089960888, "acc_stderr": 0.010976425013113886, "acc_norm": 0.24445893089960888, "acc_norm_stderr": 0.010976425013113886 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.4485294117647059, "acc_stderr": 0.030211479609121593, "acc_norm": 0.4485294117647059, "acc_norm_stderr": 0.030211479609121593 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2173202614379085, "acc_stderr": 0.01668482092914859, "acc_norm": 0.2173202614379085, "acc_norm_stderr": 0.01668482092914859 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.22727272727272727, "acc_stderr": 0.04013964554072774, "acc_norm": 0.22727272727272727, "acc_norm_stderr": 0.04013964554072774 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.4, "acc_stderr": 0.031362502409358936, "acc_norm": 0.4, "acc_norm_stderr": 0.031362502409358936 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.26865671641791045, "acc_stderr": 0.03134328358208954, "acc_norm": 0.26865671641791045, "acc_norm_stderr": 0.03134328358208954 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.1927710843373494, "acc_stderr": 0.030709824050565274, "acc_norm": 0.1927710843373494, "acc_norm_stderr": 0.030709824050565274 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.17543859649122806, "acc_stderr": 0.029170885500727654, "acc_norm": 0.17543859649122806, "acc_norm_stderr": 0.029170885500727654 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871093, "mc2": 0.472672099464425, "mc2_stderr": 0.016538310174069905 }, "harness\|winogrande\|5": { "acc": 0.4909234411996843, "acc_stderr": 0.014050170094497707 }, "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 describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7710270881652832, -0.8128625154495239, 0.2540965676307678, 0.16645435988903046, -0.17036862671375275, -0.10153849422931671, 0.09193946421146393, -0.21769118309020996, 0.6030517816543579, -0.06568273901939392, -0.5196953415870667, -0.6441377997398376, -0.4130305051803589, 0.22927503287792206, -0.009908422827720642, 0.8942728638648987, -0.12162239104509354, 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open-llm-leaderboard/details_Fredithefish__MadMix-v0.1	open-llm-leaderboard	2023-12-12T03:56:35Z	0	[ "region:us" ]	null	2023-12-12T03:55:48Z	--- pretty_name: Evaluation run of Fredithefish/MadMix-v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Fredithefish/MadMix-v0.1](https://huggingface.co/Fredithefish/MadMix-v0.1) 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_Fredithefish__MadMix-v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:52:52.102581](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__MadMix-v0.1/blob/main/results_2023-12-12T03-52-52.102581.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\": 0.643234247612221,\n\ \ \"acc_stderr\": 0.032109024933031964,\n \"acc_norm\": 0.6472045014183971,\n\ \ \"acc_norm_stderr\": 0.03274129253193244,\n \"mc1\": 0.3537331701346389,\n\ \ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.510505741411582,\n\ \ \"mc2_stderr\": 0.015407290000571205\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.621160409556314,\n \"acc_stderr\": 0.014175915490000326,\n\ \ \"acc_norm\": 0.6493174061433447,\n \"acc_norm_stderr\": 0.013944635930726097\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6555467038438558,\n\ \ \"acc_stderr\": 0.00474218516926477,\n \"acc_norm\": 0.8436566421031667,\n\ \ \"acc_norm_stderr\": 0.003624383120823458\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\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03782728980865469,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03782728980865469\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7430555555555556,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.7430555555555556,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ \ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.8032258064516129,\n\ \ \"acc_stderr\": 0.022616409420742025,\n \"acc_norm\": 0.8032258064516129,\n\ \ \"acc_norm_stderr\": 0.022616409420742025\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\ : 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.032876667586034906,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.032876667586034906\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.02150024957603346,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.02150024957603346\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.02399150050031304,\n \ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.02399150050031304\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8422018348623853,\n \"acc_stderr\": 0.015630022970092423,\n \"\ acc_norm\": 0.8422018348623853,\n \"acc_norm_stderr\": 0.015630022970092423\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.8235294117647058,\n\ \ \"acc_stderr\": 0.02675640153807897,\n \"acc_norm\": 0.8235294117647058,\n\ \ \"acc_norm_stderr\": 0.02675640153807897\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.8227848101265823,\n \"acc_stderr\": 0.024856364184503228,\n\ \ \"acc_norm\": 0.8227848101265823,\n \"acc_norm_stderr\": 0.024856364184503228\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7174887892376681,\n\ \ \"acc_stderr\": 0.030216831011508766,\n \"acc_norm\": 0.7174887892376681,\n\ \ \"acc_norm_stderr\": 0.030216831011508766\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.039578354719809805,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.039578354719809805\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.037601780060266196,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.037601780060266196\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8212005108556832,\n\ \ \"acc_stderr\": 0.013702643715368976,\n \"acc_norm\": 0.8212005108556832,\n\ \ \"acc_norm_stderr\": 0.013702643715368976\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.708092485549133,\n \"acc_stderr\": 0.02447699407624733,\n\ \ \"acc_norm\": 0.708092485549133,\n \"acc_norm_stderr\": 0.02447699407624733\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.38212290502793295,\n\ \ \"acc_stderr\": 0.01625113971157077,\n \"acc_norm\": 0.38212290502793295,\n\ \ \"acc_norm_stderr\": 0.01625113971157077\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958143,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958143\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.026160584450140446,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.026160584450140446\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7067901234567902,\n \"acc_stderr\": 0.025329888171900926,\n\ \ \"acc_norm\": 0.7067901234567902,\n \"acc_norm_stderr\": 0.025329888171900926\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.029736592526424438,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.029736592526424438\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.45371577574967403,\n\ \ \"acc_stderr\": 0.01271540484127774,\n \"acc_norm\": 0.45371577574967403,\n\ \ \"acc_norm_stderr\": 0.01271540484127774\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.02767846864214472,\n\ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.02767846864214472\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000325,\n \ \ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000325\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7510204081632653,\n \"acc_stderr\": 0.027682979522960238,\n\ \ \"acc_norm\": 0.7510204081632653,\n \"acc_norm_stderr\": 0.027682979522960238\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.845771144278607,\n\ \ \"acc_stderr\": 0.025538433368578327,\n \"acc_norm\": 0.845771144278607,\n\ \ \"acc_norm_stderr\": 0.025538433368578327\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5602409638554217,\n\ \ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ \ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3537331701346389,\n\ \ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.510505741411582,\n\ \ \"mc2_stderr\": 0.015407290000571205\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663588\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.4965883244882487,\n \ \ \"acc_stderr\": 0.013772164105556747\n }\n}\n```" repo_url: https://huggingface.co/Fredithefish/MadMix-v0.1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-52-52.102581.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|gsm8k\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hellaswag\|10_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-52-52.102581.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-52-52.102581.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '/details_harness\|winogrande\|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T03-52-52.102581.parquet' - config_name: results data_files: - split: 2023_12_12T03_52_52.102581 path: - results_2023-12-12T03-52-52.102581.parquet - split: latest path: - results_2023-12-12T03-52-52.102581.parquet --- # Dataset Card for Evaluation run of Fredithefish/MadMix-v0.1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Fredithefish/MadMix-v0.1](https://huggingface.co/Fredithefish/MadMix-v0.1) 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_Fredithefish__MadMix-v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:52:52.102581](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__MadMix-v0.1/blob/main/results_2023-12-12T03-52-52.102581.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": 0.643234247612221, "acc_stderr": 0.032109024933031964, "acc_norm": 0.6472045014183971, "acc_norm_stderr": 0.03274129253193244, "mc1": 0.3537331701346389, "mc1_stderr": 0.016737814358846147, "mc2": 0.510505741411582, "mc2_stderr": 0.015407290000571205 }, "harness\|arc:challenge\|25": { "acc": 0.621160409556314, "acc_stderr": 0.014175915490000326, "acc_norm": 0.6493174061433447, "acc_norm_stderr": 0.013944635930726097 }, "harness\|hellaswag\|10": { "acc": 0.6555467038438558, "acc_stderr": 0.00474218516926477, "acc_norm": 0.8436566421031667, "acc_norm_stderr": 0.003624383120823458 }, "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": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6842105263157895, "acc_stderr": 0.03782728980865469, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.03782728980865469 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7018867924528301, "acc_stderr": 0.028152837942493857, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493857 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7430555555555556, "acc_stderr": 0.03653946969442099, "acc_norm": 0.7430555555555556, "acc_norm_stderr": 0.03653946969442099 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247078, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247078 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.548936170212766, "acc_stderr": 0.032529096196131965, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.032529096196131965 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04697085136647863, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04697085136647863 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4074074074074074, "acc_stderr": 0.02530590624159063, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.02530590624159063 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8032258064516129, "acc_stderr": 0.022616409420742025, "acc_norm": 0.8032258064516129, "acc_norm_stderr": 0.022616409420742025 }, 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7961848378181458, -0.8375749588012695, 0.2587321996688843, 0.24026793241500854, -0.15788038074970245, -0.06607455760240555, 0.07187651842832565, -0.1885693520307541, 0.5718990564346313, -0.08336629718542099, -0.5295708179473877, -0.6978590488433838, -0.4362746775150299, 0.250445157289505, -0.029903659597039223, 0.834731936454773, -0.15647810697555542, 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kevem/tocadovale	kevem	2023-12-12T03:58:52Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T03:55:50Z	--- license: apache-2.0 ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, -0.08836933970451355, -0.2275441437959671, -0.45892030000686646, 0.42230701446533203, -0.3327735662460327, -0.4213368594646454, -0.26241639256477356, -0.07449351251125336, 0.32380399107933044, 0.7903711199760437, -0.3810412585735321, 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open-llm-leaderboard/details_rwitz2__ipo-test	open-llm-leaderboard	2023-12-12T03:57:07Z	0	[ "region:us" ]	null	2023-12-12T03:56:24Z	--- pretty_name: Evaluation run of rwitz2/ipo-test dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rwitz2/ipo-test](https://huggingface.co/rwitz2/ipo-test) 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_rwitz2__ipo-test\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:53:21.138621](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__ipo-test/blob/main/results_2023-12-12T03-53-21.138621.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\": 0.6543450273126857,\n\ \ \"acc_stderr\": 0.03191864171781636,\n \"acc_norm\": 0.6545137141283983,\n\ \ \"acc_norm_stderr\": 0.03257628315307556,\n \"mc1\": 0.39167686658506734,\n\ \ \"mc1_stderr\": 0.01708779588176963,\n \"mc2\": 0.558695592929387,\n\ \ \"mc2_stderr\": 0.015276769304708891\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175456,\n\ \ \"acc_norm\": 0.6791808873720137,\n \"acc_norm_stderr\": 0.013640943091946533\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6694881497709619,\n\ \ \"acc_stderr\": 0.004694360968929403,\n \"acc_norm\": 0.8598884684325832,\n\ \ \"acc_norm_stderr\": 0.003463933286063885\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.03761070869867479,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.03761070869867479\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7320754716981132,\n \"acc_stderr\": 0.027257260322494845,\n\ \ \"acc_norm\": 0.7320754716981132,\n \"acc_norm_stderr\": 0.027257260322494845\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7569444444444444,\n\ \ \"acc_stderr\": 0.035868792800803406,\n \"acc_norm\": 0.7569444444444444,\n\ \ \"acc_norm_stderr\": 0.035868792800803406\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6763005780346821,\n\ \ \"acc_stderr\": 0.035676037996391706,\n \"acc_norm\": 0.6763005780346821,\n\ \ \"acc_norm_stderr\": 0.035676037996391706\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6085106382978723,\n \"acc_stderr\": 0.03190701242326812,\n\ \ \"acc_norm\": 0.6085106382978723,\n \"acc_norm_stderr\": 0.03190701242326812\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.047028804320496165,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.047028804320496165\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.43915343915343913,\n \"acc_stderr\": 0.025559920550531003,\n \"\ acc_norm\": 0.43915343915343913,\n \"acc_norm_stderr\": 0.025559920550531003\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642518,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642518\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ : 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.029620227874790482,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.029620227874790482\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.362962962962963,\n \"acc_stderr\": 0.02931820364520686,\n \ \ \"acc_norm\": 0.362962962962963,\n \"acc_norm_stderr\": 0.02931820364520686\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.0302839955258844,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.0302839955258844\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658752,\n \"\ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658752\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5370370370370371,\n \"acc_stderr\": 0.03400603625538272,\n \"\ acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.03400603625538272\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8284313725490197,\n \"acc_stderr\": 0.02646056956124064,\n \"\ acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.02646056956124064\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290895,\n \ \ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290895\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313729,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313729\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990947,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990947\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.04718471485219588,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.04718471485219588\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608308,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608308\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7427745664739884,\n \"acc_stderr\": 0.023532925431044287,\n\ \ \"acc_norm\": 0.7427745664739884,\n \"acc_norm_stderr\": 0.023532925431044287\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4212290502793296,\n\ \ \"acc_stderr\": 0.01651367603117959,\n \"acc_norm\": 0.4212290502793296,\n\ \ \"acc_norm_stderr\": 0.01651367603117959\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\ \ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818767,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818767\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600712995,\n\ \ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600712995\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.46808510638297873,\n \"acc_stderr\": 0.029766675075873866,\n \ \ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.029766675075873866\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4680573663624511,\n\ \ \"acc_stderr\": 0.012744149704869647,\n \"acc_norm\": 0.4680573663624511,\n\ \ \"acc_norm_stderr\": 0.012744149704869647\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396556,\n\ \ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396556\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6699346405228758,\n \"acc_stderr\": 0.019023726160724553,\n \ \ \"acc_norm\": 0.6699346405228758,\n \"acc_norm_stderr\": 0.019023726160724553\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8557213930348259,\n\ \ \"acc_stderr\": 0.024845753212306053,\n \"acc_norm\": 0.8557213930348259,\n\ \ \"acc_norm_stderr\": 0.024845753212306053\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.39167686658506734,\n\ \ \"mc1_stderr\": 0.01708779588176963,\n \"mc2\": 0.558695592929387,\n\ \ \"mc2_stderr\": 0.015276769304708891\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8089976322020521,\n \"acc_stderr\": 0.011047808761510427\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7202426080363912,\n \ \ \"acc_stderr\": 0.012364384016735319\n }\n}\n```" repo_url: https://huggingface.co/rwitz2/ipo-test leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T03-53-21.138621.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|gsm8k\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hellaswag\|10_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-53-21.138621.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T03-53-21.138621.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '/details_harness\|winogrande\|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T03-53-21.138621.parquet' - config_name: results data_files: - split: 2023_12_12T03_53_21.138621 path: - results_2023-12-12T03-53-21.138621.parquet - split: latest path: - results_2023-12-12T03-53-21.138621.parquet --- # Dataset Card for Evaluation run of rwitz2/ipo-test <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [rwitz2/ipo-test](https://huggingface.co/rwitz2/ipo-test) 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_rwitz2__ipo-test", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:53:21.138621](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__ipo-test/blob/main/results_2023-12-12T03-53-21.138621.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": 0.6543450273126857, "acc_stderr": 0.03191864171781636, "acc_norm": 0.6545137141283983, "acc_norm_stderr": 0.03257628315307556, "mc1": 0.39167686658506734, "mc1_stderr": 0.01708779588176963, "mc2": 0.558695592929387, "mc2_stderr": 0.015276769304708891 }, "harness\|arc:challenge\|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175456, "acc_norm": 0.6791808873720137, "acc_norm_stderr": 0.013640943091946533 }, "harness\|hellaswag\|10": { "acc": 0.6694881497709619, "acc_stderr": 0.004694360968929403, "acc_norm": 0.8598884684325832, "acc_norm_stderr": 0.003463933286063885 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.03761070869867479, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.03761070869867479 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7320754716981132, "acc_stderr": 0.027257260322494845, "acc_norm": 0.7320754716981132, "acc_norm_stderr": 0.027257260322494845 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7569444444444444, "acc_stderr": 0.035868792800803406, "acc_norm": 0.7569444444444444, "acc_norm_stderr": 0.035868792800803406 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6763005780346821, "acc_stderr": 0.035676037996391706, "acc_norm": 0.6763005780346821, "acc_norm_stderr": 0.035676037996391706 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6085106382978723, "acc_stderr": 0.03190701242326812, "acc_norm": 0.6085106382978723, "acc_norm_stderr": 0.03190701242326812 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.49122807017543857, "acc_stderr": 0.047028804320496165, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.047028804320496165 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.43915343915343913, "acc_stderr": 0.025559920550531003, "acc_norm": 0.43915343915343913, "acc_norm_stderr": 0.025559920550531003 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.029620227874790482, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.029620227874790482 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9119170984455959, "acc_stderr": 0.02045374660160103, "acc_norm": 0.9119170984455959, "acc_norm_stderr": 0.02045374660160103 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.362962962962963, "acc_stderr": 0.02931820364520686, "acc_norm": 0.362962962962963, "acc_norm_stderr": 0.02931820364520686 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.680672268907563, "acc_stderr": 0.0302839955258844, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.0302839955258844 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.32450331125827814, "acc_stderr": 0.03822746937658752, "acc_norm": 0.32450331125827814, "acc_norm_stderr": 0.03822746937658752 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8284313725490197, "acc_stderr": 0.02646056956124064, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.02646056956124064 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8059071729957806, "acc_stderr": 0.025744902532290895, "acc_norm": 0.8059071729957806, "acc_norm_stderr": 0.025744902532290895 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7786259541984732, "acc_stderr": 0.03641297081313729, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.03641297081313729 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990947, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990947 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.036028141763926456, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.036028141763926456 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.44642857142857145, "acc_stderr": 0.04718471485219588, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.04718471485219588 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7685263752937317, -0.8480972051620483, 0.24783103168010712, 0.23144450783729553, -0.17971499264240265, -0.07770906388759613, 0.06188783422112465, -0.2095159888267517, 0.546550989151001, -0.05733564496040344, -0.4988951086997986, -0.7018932700157166, -0.4330514669418335, 0.22002962231636047, -0.04372642561793327, 0.8616146445274353, -0.15586340427398682, 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Alemao172672/Victor_James_Brazil_Conversational	Alemao172672	2023-12-12T04:03:41Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T04:02:35Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 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Alemao172672/Sean_Wolfe_Brazil	Alemao172672	2023-12-14T02:42:22Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T04:19:32Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7	open-llm-leaderboard	2023-12-12T04:34:32Z	0	[ "region:us" ]	null	2023-12-12T04:33:49Z	--- pretty_name: Evaluation run of Sao10K/NyakuraV2.1-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/NyakuraV2.1-m7](https://huggingface.co/Sao10K/NyakuraV2.1-m7) 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_Sao10K__NyakuraV2.1-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T04:30:54.576577](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7/blob/main/results_2023-12-12T04-30-54.576577.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\": 0.5812856791159661,\n\ \ \"acc_stderr\": 0.03351473539841468,\n \"acc_norm\": 0.5885734680789351,\n\ \ \"acc_norm_stderr\": 0.03422448074980651,\n \"mc1\": 0.29498164014687883,\n\ \ \"mc1_stderr\": 0.015964400965589664,\n \"mc2\": 0.45008851442315223,\n\ \ \"mc2_stderr\": 0.015144388624059283\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5511945392491467,\n \"acc_stderr\": 0.014534599585097662,\n\ \ \"acc_norm\": 0.5861774744027304,\n \"acc_norm_stderr\": 0.014392730009221007\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6320454092810197,\n\ \ \"acc_stderr\": 0.004812633280078261,\n \"acc_norm\": 0.8188607847042422,\n\ \ \"acc_norm_stderr\": 0.003843463792037909\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.630188679245283,\n \"acc_stderr\": 0.02971142188010793,\n\ \ \"acc_norm\": 0.630188679245283,\n \"acc_norm_stderr\": 0.02971142188010793\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201943,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201943\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.03257901482099834,\n\ \ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.03257901482099834\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.373015873015873,\n \"acc_stderr\": 0.02490699045899257,\n \"acc_norm\"\ : 0.373015873015873,\n \"acc_norm_stderr\": 0.02490699045899257\n },\n\ \ \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.6838709677419355,\n \"acc_stderr\": 0.026450874489042774,\n \"\ acc_norm\": 0.6838709677419355,\n \"acc_norm_stderr\": 0.026450874489042774\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4827586206896552,\n \"acc_stderr\": 0.035158955511656986,\n \"\ acc_norm\": 0.4827586206896552,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.0347769116216366,\n\ \ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.0347769116216366\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.702020202020202,\n \"acc_stderr\": 0.03258630383836556,\n \"acc_norm\"\ : 0.702020202020202,\n \"acc_norm_stderr\": 0.03258630383836556\n },\n\ \ \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n \ \ \"acc\": 0.8290155440414507,\n \"acc_stderr\": 0.027171213683164542,\n\ \ \"acc_norm\": 0.8290155440414507,\n \"acc_norm_stderr\": 0.027171213683164542\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5461538461538461,\n \"acc_stderr\": 0.025242770987126184,\n\ \ \"acc_norm\": 0.5461538461538461,\n \"acc_norm_stderr\": 0.025242770987126184\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652459,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652459\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5882352941176471,\n \"acc_stderr\": 0.031968769891957786,\n\ \ \"acc_norm\": 0.5882352941176471,\n \"acc_norm_stderr\": 0.031968769891957786\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.39072847682119205,\n \"acc_stderr\": 0.03983798306659807,\n \"\ acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.03983798306659807\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.726605504587156,\n \"acc_stderr\": 0.019109299846098292,\n \"\ acc_norm\": 0.726605504587156,\n \"acc_norm_stderr\": 0.019109299846098292\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4537037037037037,\n \"acc_stderr\": 0.03395322726375797,\n \"\ acc_norm\": 0.4537037037037037,\n \"acc_norm_stderr\": 0.03395322726375797\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7205882352941176,\n \"acc_stderr\": 0.03149328104507957,\n \"\ acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.03149328104507957\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7172995780590717,\n \"acc_stderr\": 0.029312814153955924,\n \ \ \"acc_norm\": 0.7172995780590717,\n \"acc_norm_stderr\": 0.029312814153955924\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.04039314978724561,\n\ \ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.04039314978724561\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04557239513497751,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04557239513497751\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.04742762361243011,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.04742762361243011\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.7905982905982906,\n\ \ \"acc_stderr\": 0.026655699653922737,\n \"acc_norm\": 0.7905982905982906,\n\ \ \"acc_norm_stderr\": 0.026655699653922737\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7624521072796935,\n\ \ \"acc_stderr\": 0.015218733046150193,\n \"acc_norm\": 0.7624521072796935,\n\ \ \"acc_norm_stderr\": 0.015218733046150193\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6473988439306358,\n \"acc_stderr\": 0.02572280220089581,\n\ \ \"acc_norm\": 0.6473988439306358,\n \"acc_norm_stderr\": 0.02572280220089581\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.25139664804469275,\n\ \ \"acc_stderr\": 0.01450897945355397,\n \"acc_norm\": 0.25139664804469275,\n\ \ \"acc_norm_stderr\": 0.01450897945355397\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.027363593284684965,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.027363593284684965\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6591639871382636,\n\ \ \"acc_stderr\": 0.026920841260776165,\n \"acc_norm\": 0.6591639871382636,\n\ \ \"acc_norm_stderr\": 0.026920841260776165\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6512345679012346,\n \"acc_stderr\": 0.02651759772446501,\n\ \ \"acc_norm\": 0.6512345679012346,\n \"acc_norm_stderr\": 0.02651759772446501\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \ \ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.40547588005215124,\n\ \ \"acc_stderr\": 0.012539960672377202,\n \"acc_norm\": 0.40547588005215124,\n\ \ \"acc_norm_stderr\": 0.012539960672377202\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5661764705882353,\n \"acc_stderr\": 0.030105636570016633,\n\ \ \"acc_norm\": 0.5661764705882353,\n \"acc_norm_stderr\": 0.030105636570016633\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5931372549019608,\n \"acc_stderr\": 0.019873802005061177,\n \ \ \"acc_norm\": 0.5931372549019608,\n \"acc_norm_stderr\": 0.019873802005061177\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6272727272727273,\n\ \ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\ \ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.673469387755102,\n \"acc_stderr\": 0.030021056238440307,\n\ \ \"acc_norm\": 0.673469387755102,\n \"acc_norm_stderr\": 0.030021056238440307\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.02619392354445414,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.02619392354445414\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036624,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036624\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.46987951807228917,\n\ \ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\ \ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7543859649122807,\n \"acc_stderr\": 0.0330140594698725,\n\ \ \"acc_norm\": 0.7543859649122807,\n \"acc_norm_stderr\": 0.0330140594698725\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.29498164014687883,\n\ \ \"mc1_stderr\": 0.015964400965589664,\n \"mc2\": 0.45008851442315223,\n\ \ \"mc2_stderr\": 0.015144388624059283\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7277032359905288,\n \"acc_stderr\": 0.012510697991453934\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.2266868840030326,\n \ \ \"acc_stderr\": 0.011532758009339995\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/NyakuraV2.1-m7 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|arc:challenge\|25_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T04-30-54.576577.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|gsm8k\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hellaswag\|10_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T04-30-54.576577.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T04-30-54.576577.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '/details_harness\|winogrande\|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T04-30-54.576577.parquet' - config_name: results data_files: - split: 2023_12_12T04_30_54.576577 path: - results_2023-12-12T04-30-54.576577.parquet - split: latest path: - results_2023-12-12T04-30-54.576577.parquet --- # Dataset Card for Evaluation run of Sao10K/NyakuraV2.1-m7 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Sao10K/NyakuraV2.1-m7](https://huggingface.co/Sao10K/NyakuraV2.1-m7) 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_Sao10K__NyakuraV2.1-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T04:30:54.576577](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7/blob/main/results_2023-12-12T04-30-54.576577.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": 0.5812856791159661, "acc_stderr": 0.03351473539841468, "acc_norm": 0.5885734680789351, "acc_norm_stderr": 0.03422448074980651, "mc1": 0.29498164014687883, "mc1_stderr": 0.015964400965589664, "mc2": 0.45008851442315223, "mc2_stderr": 0.015144388624059283 }, "harness\|arc:challenge\|25": { "acc": 0.5511945392491467, "acc_stderr": 0.014534599585097662, "acc_norm": 0.5861774744027304, "acc_norm_stderr": 0.014392730009221007 }, "harness\|hellaswag\|10": { "acc": 0.6320454092810197, "acc_stderr": 0.004812633280078261, "acc_norm": 0.8188607847042422, "acc_norm_stderr": 0.003843463792037909 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.630188679245283, "acc_stderr": 0.02971142188010793, "acc_norm": 0.630188679245283, "acc_norm_stderr": 0.02971142188010793 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04690650298201943, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201943 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4595744680851064, "acc_stderr": 0.03257901482099834, "acc_norm": 0.4595744680851064, "acc_norm_stderr": 0.03257901482099834 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5241379310344828, "acc_stderr": 0.0416180850350153, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.0416180850350153 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.373015873015873, "acc_stderr": 0.02490699045899257, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.02490699045899257 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6838709677419355, "acc_stderr": 0.026450874489042774, "acc_norm": 0.6838709677419355, "acc_norm_stderr": 0.026450874489042774 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4827586206896552, "acc_stderr": 0.035158955511656986, "acc_norm": 0.4827586206896552, "acc_norm_stderr": 0.035158955511656986 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7272727272727273, "acc_stderr": 0.0347769116216366, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.0347769116216366 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.702020202020202, "acc_stderr": 0.03258630383836556, "acc_norm": 0.702020202020202, "acc_norm_stderr": 0.03258630383836556 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8290155440414507, "acc_stderr": 0.027171213683164542, "acc_norm": 0.8290155440414507, "acc_norm_stderr": 0.027171213683164542 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5461538461538461, "acc_stderr": 0.025242770987126184, "acc_norm": 0.5461538461538461, "acc_norm_stderr": 0.025242770987126184 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3296296296296296, "acc_stderr": 0.02866120111652459, "acc_norm": 0.3296296296296296, "acc_norm_stderr": 0.02866120111652459 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5882352941176471, "acc_stderr": 0.031968769891957786, "acc_norm": 0.5882352941176471, "acc_norm_stderr": 0.031968769891957786 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.39072847682119205, "acc_stderr": 0.03983798306659807, "acc_norm": 0.39072847682119205, "acc_norm_stderr": 0.03983798306659807 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.726605504587156, "acc_stderr": 0.019109299846098292, "acc_norm": 0.726605504587156, "acc_norm_stderr": 0.019109299846098292 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4537037037037037, "acc_stderr": 0.03395322726375797, "acc_norm": 0.4537037037037037, "acc_norm_stderr": 0.03395322726375797 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7205882352941176, "acc_stderr": 0.03149328104507957, "acc_norm": 0.7205882352941176, "acc_norm_stderr": 0.03149328104507957 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7172995780590717, "acc_stderr": 0.029312814153955924, "acc_norm": 0.7172995780590717, "acc_norm_stderr": 0.029312814153955924 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness\|hendrycksTest-international_law\|5": { "acc": 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"acc_norm_stderr": 0.026655699653922737 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7624521072796935, "acc_stderr": 0.015218733046150193, "acc_norm": 0.7624521072796935, "acc_norm_stderr": 0.015218733046150193 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6473988439306358, "acc_stderr": 0.02572280220089581, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.02572280220089581 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.25139664804469275, "acc_stderr": 0.01450897945355397, "acc_norm": 0.25139664804469275, "acc_norm_stderr": 0.01450897945355397 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6470588235294118, "acc_stderr": 0.027363593284684965, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.027363593284684965 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6591639871382636, 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0.7543859649122807, "acc_stderr": 0.0330140594698725, "acc_norm": 0.7543859649122807, "acc_norm_stderr": 0.0330140594698725 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.29498164014687883, "mc1_stderr": 0.015964400965589664, "mc2": 0.45008851442315223, "mc2_stderr": 0.015144388624059283 }, "harness\|winogrande\|5": { "acc": 0.7277032359905288, "acc_stderr": 0.012510697991453934 }, "harness\|gsm8k\|5": { "acc": 0.2266868840030326, "acc_stderr": 0.011532758009339995 } } ``` ## 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 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.754003643989563, -0.8553779721260071, 0.2467934489250183, 0.21303847432136536, -0.17679394781589508, -0.07098053395748138, 0.06932754814624786, -0.23210063576698303, 0.5862799286842346, -0.0798327699303627, -0.46418842673301697, -0.671000063419342, -0.4698374569416046, 0.24757416546344757, -0.030923111364245415, 0.8454980254173279, -0.17243099212646484, 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fr-st/maturemalemix_v14	fr-st	2023-12-12T04:42:18Z	0	[ "license:creativeml-openrail-m", "region:us" ]	null	2023-12-12T04:42:18Z	--- license: creativeml-openrail-m ---	[ -0.12853407859802246, -0.18616771697998047, 0.652912974357605, 0.4943622350692749, -0.1931931972503662, 0.23607467114925385, 0.36071979999542236, 0.05056376755237579, 0.5793653726577759, 0.740013837814331, -0.6508100032806396, -0.23783957958221436, -0.7102252244949341, -0.04782591760158539, -0.3894752264022827, 0.8470760583877563, -0.0959823876619339, 0.02400447428226471, 0.04711972177028656, -0.14317813515663147, -0.6121035814285278, -0.047717154026031494, -1.0524539947509766, -0.06787465512752533, 0.3002280294895172, 0.5120975971221924, 0.8275901079177856, 0.3960293233394623, 0.5030570030212402, 1.7515560388565063, -0.08836908638477325, -0.2275443971157074, -0.45892056822776794, 0.42230725288391113, -0.3327734172344208, -0.42133691906929016, -0.2624165117740631, -0.07449330389499664, 0.32380399107933044, 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TCurran4589/cambridge_learning_sciences_handbook_2022	TCurran4589	2023-12-12T05:02:05Z	0	[ "license:mit", "region:us" ]	null	2023-12-12T04:55:24Z	--- license: mit ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 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seablue/DiDi_GAIA_dataset	seablue	2023-12-13T11:08:25Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T05:16:08Z	--- license: apache-2.0 dataset_info: features: - name: instruction dtype: string - name: most_similar_instructions struct: - name: 下面我给出了一段代码，请你帮我给下面代码加上注释。 dtype: float64 - name: 下面是一段代码，请你添加注释，以便于其他人更好地了解代码。 dtype: float64 - name: 下面是一段可以自动化为你的代码添加注释的工具，请你根据这个工具的描述，使用它为你的代码添加注释。 dtype: float64 - name: 下面是一段需要加注释的代码，请为每一行添加注释并描述其作用。 dtype: float64 - name: 下面的代码令人困惑，请为每行添加注释以解释其含义。 dtype: float64 - name: 下面的代码可能会让其他人感到困惑，请为每一行添加注释以便于其他人理解。 dtype: float64 - name: 下面的代码需要添加注释以解释代码实现的逻辑，请您为其添加注释。 dtype: float64 - name: 下面的代码需要添加注释来解释代码的目的，请你给出相应的注释。 dtype: float64 - name: 下面这段代码需要加入一些注释以便后续使用，请你帮忙补充一下。 dtype: float64 - name: 下面这段代码需要添加注释以解释其中的细节和处理过程，请帮我添加注释。 dtype: float64 - name: 下面这段代码需要添加注释以解释其在整个项目中的作用，请您为其添加注释。 dtype: float64 - name: 下面这段代码需要补充注释来解释变量和函数的用途和功能，请你为其添加注释。 dtype: float64 - name: 你能帮我解释一下以下代码的作用吗？ dtype: float64 - name: 可以为下面的代码添加注释，以便于其他人更好地理解吗？ 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dtype: float64 - name: 能否为这段代码编写注释，以便于初学者理解代码逻辑和实现方式？ dtype: float64 - name: 能否为这段代码自动生成注释，描述代码的主要功能和用途？ dtype: float64 - name: 能否帮我添加下面这段代码的注释，使得代码更加容易阅读和理解。 dtype: float64 - name: 能否编写代码，自动识别出变量和函数的作用，然后为它们添加注释？ dtype: float64 - name: 能否请你为下面这段代码增加一些注释，使得别人也能够看懂？ dtype: float64 - name: 能否请你在下面的代码中为每一行添加一些注释？ dtype: float64 - name: 能帮我给下面代码加上注释吗？ dtype: float64 - name: 请为下面的代码增加注释，以便在以后代码需要维护时更好地理解和更改代码。 dtype: float64 - name: 请为下面的代码添加注释，以便于后续的调试和维护。 dtype: float64 - name: 请为下面的代码添加注释，以便于我们更好地理解代码的实现和功能。 dtype: float64 - name: 请为下面的代码添加注释，以解释每一行代码的用途。 dtype: float64 - name: 请为下面的代码编写简要的注释，方便阅读和理解。 dtype: float64 - name: 请为下面的函数添加注释，描述函数的输入、输出和用途。 dtype: float64 - name: 请为下面这段代码添加注释来解释各个变量和函数的作用。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明代码的执行步骤以及相关函数的作用。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明每个函数的功能和用途。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明该代码的入参和出参以及相关算法的实现。 dtype: float64 - name: 请为以下代码添加注释，以便更好地理解代码的实现逻辑。 dtype: float64 - name: 请为以下代码添加注释，描述代码的主要实现思路。 dtype: float64 - name: 请你为下面的代码添加注释，解释代码的主要思路和逻辑。 dtype: float64 - name: 请你写一段代码，并为你所写的代码加上适当的注释。 dtype: float64 - name: 请你在下面的代码中找出难懂的地方并加上相应的注释。 dtype: float64 - name: 请你帮忙把下面的代码加上适当的注释，以便于其他人更好地了解代码。 dtype: float64 - name: 请你根据下面的代码，给出一份详细的代码注释，让其他人更好地理解代码。 dtype: float64 - name: 请你给下面的代码添加注释，以便于我们更好地理解代码的功能和实现方法。 dtype: float64 - name: 请写一个生成类方法注释的函数。 dtype: float64 - name: 请写一个生成自然语言描述的代码注释的代码。 dtype: float64 - name: 请写一段代码，使其能够为一个包含多个函数的脚本文件自动添加注释。 dtype: float64 - name: 请写一段代码，使其能够为一个带有参数的函数生成注释。 dtype: float64 - name: 请写一段代码，使其能够根据代码段的逻辑结构生成注释。 dtype: float64 - name: 请写一段代码，使其能够根据变量和函数的命名规则来自动生成注释。 dtype: float64 - name: 请写一段代码，使其能够自动为一个特定函数生成相应的注释。 dtype: float64 - name: 请写一段代码，根据函数的输入和输出来自动生成注释。 dtype: float64 - name: 请写一段代码，生成注释，描述一个函数的作用和输入输出格式。 dtype: float64 - name: 请写一段代码，生成注释，描述一个函数的输入输出和用法实例。 dtype: float64 - name: 请写一段代码，生成注释，描述一个程序中的类的功能和属性。 dtype: float64 - name: 请写一段代码，自动为一个Python模块里的所有函数和类生成注释。 dtype: float64 - name: 请对下面的代码添加适当的注释，以便其他人更好地理解。 dtype: float64 - name: 请帮我为下面的代码片段添加注释，方便其他人更好地理解代码。 dtype: float64 - name: 请帮我为这个循环添加注释，以便更好地理解它。 dtype: float64 - name: 请帮我给下面这段代码添加注释，以便于其他人了解代码的使用方法和功能。 dtype: float64 - name: 请您给下面的代码加上注释，以便于后续代码维护和开发。 dtype: float64 - name: 请根据下面的代码描述每一行的功能，然后加上注释。 dtype: float64 - name: 请根据下面的代码，为代码添加注释以便于其他人理解。 dtype: float64 - name: 请根据以下代码的功能，为其加上注释。 dtype: float64 - name: 请根据你的理解为下面的代码片段增加注释。 dtype: float64 - name: 请生成一组注释，描述下面这段代码的主要功能。 dtype: float64 - name: 请给下面的代码加上注释。 dtype: float64 - name: 请给下面的代码添加注释来解释代码的执行顺序。 dtype: float64 - name: 请给下面的代码添加注释，以便于其他人更好地了解代码的使用方法和注意事项。 dtype: float64 - name: 请给下面这段代码添加注释，以便于我们更好地了解代码的功能和用法。 dtype: float64 - name: 请问你能为下面的代码添加注释吗？ dtype: float64 - name: 请阅读下面的代码并为其添加注释以指明该段代码的功能。 dtype: float64 - name: 请阅读下面这段代码，并为它添加必要的注释，以便理解。 dtype: float64 - name: 请阅读以下代码，给代码加上相应的注释。 dtype: float64 - name: 这是一段优化后的代码，请你为每一行代码添加注释。 dtype: float64 - name: 这段代码可能有一些复杂，你能不能帮我添加一些注释来让它更加易读？ dtype: float64 - name: 这段代码有些复杂，请你给每个函数和循环写上注释，以便于读者理解代码逻辑。 dtype: float64 - name: 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Ediudo/devidi	Ediudo	2023-12-12T05:46:47Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T05:24:57Z	--- license: apache-2.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, -0.38104113936424255, 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open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1	open-llm-leaderboard	2023-12-12T05:26:27Z	0	[ "region:us" ]	null	2023-12-12T05:25:37Z	--- pretty_name: Evaluation run of l3utterfly/minima-3b-layla-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [l3utterfly/minima-3b-layla-v1](https://huggingface.co/l3utterfly/minima-3b-layla-v1)\ \ 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_l3utterfly__minima-3b-layla-v1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T05:22:37.332430](https://huggingface.co/datasets/open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1/blob/main/results_2023-12-12T05-22-37.332430.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\": 0.2926833958149601,\n\ \ \"acc_stderr\": 0.03204866848858654,\n \"acc_norm\": 0.2933238684679158,\n\ \ \"acc_norm_stderr\": 0.03277522544357182,\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.46464235332296694,\n\ \ \"mc2_stderr\": 0.01460614608791472\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.39590443686006827,\n \"acc_stderr\": 0.014291228393536588,\n\ \ \"acc_norm\": 0.4232081911262799,\n \"acc_norm_stderr\": 0.014438036220848029\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5041824337781319,\n\ \ \"acc_stderr\": 0.004989606838371069,\n \"acc_norm\": 0.6747659828719379,\n\ \ \"acc_norm_stderr\": 0.004675048151056846\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.2074074074074074,\n\ \ \"acc_stderr\": 0.03502553170678318,\n \"acc_norm\": 0.2074074074074074,\n\ \ \"acc_norm_stderr\": 0.03502553170678318\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.2565789473684211,\n \"acc_stderr\": 0.0355418036802569,\n\ \ \"acc_norm\": 0.2565789473684211,\n \"acc_norm_stderr\": 0.0355418036802569\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.35,\n\ \ \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\": 0.35,\n \ \ \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\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\"\ : 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n\ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.23121387283236994,\n\ \ \"acc_stderr\": 0.03214737302029469,\n \"acc_norm\": 0.23121387283236994,\n\ \ \"acc_norm_stderr\": 0.03214737302029469\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\ \ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.26382978723404255,\n \"acc_stderr\": 0.028809989854102956,\n\ \ \"acc_norm\": 0.26382978723404255,\n \"acc_norm_stderr\": 0.028809989854102956\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.21052631578947367,\n\ \ \"acc_stderr\": 0.038351539543994194,\n \"acc_norm\": 0.21052631578947367,\n\ \ \"acc_norm_stderr\": 0.038351539543994194\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.2482758620689655,\n \"acc_stderr\": 0.036001056927277716,\n\ \ \"acc_norm\": 0.2482758620689655,\n \"acc_norm_stderr\": 0.036001056927277716\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.20899470899470898,\n \"acc_stderr\": 0.02094048156533485,\n \"\ acc_norm\": 0.20899470899470898,\n \"acc_norm_stderr\": 0.02094048156533485\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.2777777777777778,\n\ \ \"acc_stderr\": 0.04006168083848877,\n \"acc_norm\": 0.2777777777777778,\n\ \ \"acc_norm_stderr\": 0.04006168083848877\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.24516129032258063,\n\ \ \"acc_stderr\": 0.024472243840895528,\n \"acc_norm\": 0.24516129032258063,\n\ \ \"acc_norm_stderr\": 0.024472243840895528\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.2019704433497537,\n \"acc_stderr\": 0.02824735012218027,\n\ \ \"acc_norm\": 0.2019704433497537,\n \"acc_norm_stderr\": 0.02824735012218027\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\ : 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2727272727272727,\n \"acc_stderr\": 0.03477691162163659,\n\ \ \"acc_norm\": 0.2727272727272727,\n \"acc_norm_stderr\": 0.03477691162163659\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.25252525252525254,\n \"acc_stderr\": 0.030954055470365904,\n \"\ acc_norm\": 0.25252525252525254,\n \"acc_norm_stderr\": 0.030954055470365904\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.27461139896373055,\n \"acc_stderr\": 0.03221024508041154,\n\ \ \"acc_norm\": 0.27461139896373055,\n \"acc_norm_stderr\": 0.03221024508041154\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.32564102564102565,\n \"acc_stderr\": 0.02375966576741229,\n\ \ \"acc_norm\": 0.32564102564102565,\n \"acc_norm_stderr\": 0.02375966576741229\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.026842057873833706,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.026842057873833706\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.3445378151260504,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.3445378151260504,\n \"acc_norm_stderr\": 0.030868682604121622\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.30091743119266057,\n \"acc_stderr\": 0.019664751366802114,\n \"\ acc_norm\": 0.30091743119266057,\n \"acc_norm_stderr\": 0.019664751366802114\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4212962962962963,\n \"acc_stderr\": 0.033674621388960775,\n \"\ acc_norm\": 0.4212962962962963,\n \"acc_norm_stderr\": 0.033674621388960775\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.28431372549019607,\n \"acc_stderr\": 0.03166009679399813,\n \"\ acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.03166009679399813\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.27848101265822783,\n \"acc_stderr\": 0.029178682304842562,\n \ \ \"acc_norm\": 0.27848101265822783,\n \"acc_norm_stderr\": 0.029178682304842562\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.30493273542600896,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.30493273542600896,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.37404580152671757,\n \"acc_stderr\": 0.042438692422305246,\n\ \ \"acc_norm\": 0.37404580152671757,\n \"acc_norm_stderr\": 0.042438692422305246\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.2644628099173554,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.2644628099173554,\n \"acc_norm_stderr\": 0.040261875275912046\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.23148148148148148,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.23148148148148148,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.2331288343558282,\n \"acc_stderr\": 0.03322015795776741,\n\ \ \"acc_norm\": 0.2331288343558282,\n \"acc_norm_stderr\": 0.03322015795776741\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.32142857142857145,\n\ \ \"acc_stderr\": 0.044328040552915185,\n \"acc_norm\": 0.32142857142857145,\n\ \ \"acc_norm_stderr\": 0.044328040552915185\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.2621359223300971,\n \"acc_stderr\": 0.04354631077260595,\n\ \ \"acc_norm\": 0.2621359223300971,\n \"acc_norm_stderr\": 0.04354631077260595\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.28205128205128205,\n\ \ \"acc_stderr\": 0.02948036054954119,\n \"acc_norm\": 0.28205128205128205,\n\ \ \"acc_norm_stderr\": 0.02948036054954119\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.2720306513409962,\n\ \ \"acc_stderr\": 0.01591336744750051,\n \"acc_norm\": 0.2720306513409962,\n\ \ \"acc_norm_stderr\": 0.01591336744750051\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.28034682080924855,\n \"acc_stderr\": 0.02418242749657761,\n\ \ \"acc_norm\": 0.28034682080924855,\n \"acc_norm_stderr\": 0.02418242749657761\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2670391061452514,\n\ \ \"acc_stderr\": 0.014796502622562557,\n \"acc_norm\": 0.2670391061452514,\n\ \ \"acc_norm_stderr\": 0.014796502622562557\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.2908496732026144,\n \"acc_stderr\": 0.02600480036395211,\n\ \ \"acc_norm\": 0.2908496732026144,\n \"acc_norm_stderr\": 0.02600480036395211\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.3440514469453376,\n\ \ \"acc_stderr\": 0.026981478043648015,\n \"acc_norm\": 0.3440514469453376,\n\ \ \"acc_norm_stderr\": 0.026981478043648015\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.23765432098765432,\n \"acc_stderr\": 0.023683591837008553,\n\ \ \"acc_norm\": 0.23765432098765432,\n \"acc_norm_stderr\": 0.023683591837008553\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.24113475177304963,\n \"acc_stderr\": 0.025518731049537755,\n \ \ \"acc_norm\": 0.24113475177304963,\n \"acc_norm_stderr\": 0.025518731049537755\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.2607561929595828,\n\ \ \"acc_stderr\": 0.01121347155960232,\n \"acc_norm\": 0.2607561929595828,\n\ \ \"acc_norm_stderr\": 0.01121347155960232\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.029520095697687758,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.029520095697687758\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2761437908496732,\n \"acc_stderr\": 0.018087276935663137,\n \ \ \"acc_norm\": 0.2761437908496732,\n \"acc_norm_stderr\": 0.018087276935663137\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.2727272727272727,\n\ \ \"acc_stderr\": 0.04265792110940588,\n \"acc_norm\": 0.2727272727272727,\n\ \ \"acc_norm_stderr\": 0.04265792110940588\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.03136250240935893,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.03136250240935893\n },\n\ \ \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.2736318407960199,\n\ \ \"acc_stderr\": 0.03152439186555402,\n \"acc_norm\": 0.2736318407960199,\n\ \ \"acc_norm_stderr\": 0.03152439186555402\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.25903614457831325,\n\ \ \"acc_stderr\": 0.034106466140718564,\n \"acc_norm\": 0.25903614457831325,\n\ \ \"acc_norm_stderr\": 0.034106466140718564\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.03615507630310935,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.03615507630310935\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.46464235332296694,\n\ \ \"mc2_stderr\": 0.01460614608791472\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.659037095501184,\n \"acc_stderr\": 0.013322681435934793\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.08642911296436695,\n \ \ \"acc_stderr\": 0.007740044337103812\n }\n}\n```" repo_url: https://huggingface.co/l3utterfly/minima-3b-layla-v1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|arc:challenge\|25_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T05-22-37.332430.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|gsm8k\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hellaswag\|10_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-22-37.332430.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T05-22-37.332430.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '/details_harness\|winogrande\|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T05-22-37.332430.parquet' - config_name: results data_files: - split: 2023_12_12T05_22_37.332430 path: - results_2023-12-12T05-22-37.332430.parquet - split: latest path: - results_2023-12-12T05-22-37.332430.parquet --- # Dataset Card for Evaluation run of l3utterfly/minima-3b-layla-v1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [l3utterfly/minima-3b-layla-v1](https://huggingface.co/l3utterfly/minima-3b-layla-v1) 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_l3utterfly__minima-3b-layla-v1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T05:22:37.332430](https://huggingface.co/datasets/open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1/blob/main/results_2023-12-12T05-22-37.332430.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": 0.2926833958149601, "acc_stderr": 0.03204866848858654, "acc_norm": 0.2933238684679158, "acc_norm_stderr": 0.03277522544357182, "mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.46464235332296694, "mc2_stderr": 0.01460614608791472 }, "harness\|arc:challenge\|25": { "acc": 0.39590443686006827, "acc_stderr": 0.014291228393536588, "acc_norm": 0.4232081911262799, "acc_norm_stderr": 0.014438036220848029 }, "harness\|hellaswag\|10": { "acc": 0.5041824337781319, "acc_stderr": 0.004989606838371069, "acc_norm": 0.6747659828719379, "acc_norm_stderr": 0.004675048151056846 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.2074074074074074, "acc_stderr": 0.03502553170678318, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.03502553170678318 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.2565789473684211, "acc_stderr": 0.0355418036802569, "acc_norm": 0.2565789473684211, "acc_norm_stderr": 0.0355418036802569 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670713, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670713 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "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": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.23121387283236994, "acc_stderr": 0.03214737302029469, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.03214737302029469 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102956, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102956 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.21052631578947367, "acc_stderr": 0.038351539543994194, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.038351539543994194 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.2482758620689655, "acc_stderr": 0.036001056927277716, "acc_norm": 0.2482758620689655, "acc_norm_stderr": 0.036001056927277716 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.20899470899470898, "acc_stderr": 0.02094048156533485, "acc_norm": 0.20899470899470898, "acc_norm_stderr": 0.02094048156533485 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.2777777777777778, "acc_stderr": 0.04006168083848877, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.04006168083848877 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.24516129032258063, "acc_stderr": 0.024472243840895528, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.024472243840895528 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2019704433497537, "acc_stderr": 0.02824735012218027, "acc_norm": 0.2019704433497537, "acc_norm_stderr": 0.02824735012218027 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2727272727272727, "acc_stderr": 0.03477691162163659, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.03477691162163659 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.25252525252525254, "acc_stderr": 0.030954055470365904, "acc_norm": 0.25252525252525254, "acc_norm_stderr": 0.030954055470365904 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.27461139896373055, "acc_stderr": 0.03221024508041154, "acc_norm": 0.27461139896373055, "acc_norm_stderr": 0.03221024508041154 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.32564102564102565, "acc_stderr": 0.02375966576741229, "acc_norm": 0.32564102564102565, "acc_norm_stderr": 0.02375966576741229 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.026842057873833706 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.3445378151260504, "acc_stderr": 0.030868682604121622, "acc_norm": 0.3445378151260504, "acc_norm_stderr": 0.030868682604121622 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.30091743119266057, "acc_stderr": 0.019664751366802114, "acc_norm": 0.30091743119266057, "acc_norm_stderr": 0.019664751366802114 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4212962962962963, "acc_stderr": 0.033674621388960775, "acc_norm": 0.4212962962962963, "acc_norm_stderr": 0.033674621388960775 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.28431372549019607, "acc_stderr": 0.03166009679399813, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.03166009679399813 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.27848101265822783, "acc_stderr": 0.029178682304842562, "acc_norm": 0.27848101265822783, "acc_norm_stderr": 0.029178682304842562 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.30493273542600896, "acc_stderr": 0.030898610882477515, "acc_norm": 0.30493273542600896, "acc_norm_stderr": 0.030898610882477515 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.37404580152671757, "acc_stderr": 0.042438692422305246, "acc_norm": 0.37404580152671757, "acc_norm_stderr": 0.042438692422305246 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.2644628099173554, "acc_stderr": 0.040261875275912046, "acc_norm": 0.2644628099173554, "acc_norm_stderr": 0.040261875275912046 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.23148148148148148, "acc_stderr": 0.04077494709252627, "acc_norm": 0.23148148148148148, "acc_norm_stderr": 0.04077494709252627 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.2331288343558282, "acc_stderr": 0.03322015795776741, "acc_norm": 0.2331288343558282, "acc_norm_stderr": 0.03322015795776741 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.32142857142857145, "acc_stderr": 0.044328040552915185, "acc_norm": 0.32142857142857145, "acc_norm_stderr": 0.044328040552915185 }, "harness\|hendrycksTest-management\|5": { "acc": 0.2621359223300971, "acc_stderr": 0.04354631077260595, "acc_norm": 0.2621359223300971, "acc_norm_stderr": 0.04354631077260595 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.28205128205128205, "acc_stderr": 0.02948036054954119, "acc_norm": 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0.3440514469453376, "acc_stderr": 0.026981478043648015, "acc_norm": 0.3440514469453376, "acc_norm_stderr": 0.026981478043648015 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.23765432098765432, "acc_stderr": 0.023683591837008553, "acc_norm": 0.23765432098765432, "acc_norm_stderr": 0.023683591837008553 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.24113475177304963, "acc_stderr": 0.025518731049537755, "acc_norm": 0.24113475177304963, "acc_norm_stderr": 0.025518731049537755 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.2607561929595828, "acc_stderr": 0.01121347155960232, "acc_norm": 0.2607561929595828, "acc_norm_stderr": 0.01121347155960232 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.029520095697687758, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.029520095697687758 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2761437908496732, "acc_stderr": 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"acc": 0.3333333333333333, "acc_stderr": 0.03615507630310935, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.03615507630310935 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.46464235332296694, "mc2_stderr": 0.01460614608791472 }, "harness\|winogrande\|5": { "acc": 0.659037095501184, "acc_stderr": 0.013322681435934793 }, "harness\|gsm8k\|5": { "acc": 0.08642911296436695, "acc_stderr": 0.007740044337103812 } } ``` ## 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 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data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7521957755088806, -0.873039960861206, 0.2837429344654083, 0.211965411901474, -0.1335703432559967, -0.08240662515163422, 0.054680727422237396, -0.22593413293361664, 0.5893135666847229, -0.09217236191034317, -0.504808783531189, -0.6835325956344604, -0.40257173776626587, 0.22124798595905304, -0.03529722988605499, 0.8215343356132507, -0.1665826290845871, 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VitreousCut/DPOPairsNeuralHermes-2.5-Mistral-7B	VitreousCut	2023-12-12T05:37:17Z	0	[ "license:bsd-2-clause", "region:us" ]	null	2023-12-12T05:30:51Z	--- license: bsd-2-clause ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, -0.08836933970451355, -0.2275441437959671, -0.45892030000686646, 0.42230701446533203, -0.3327735662460327, -0.4213368594646454, -0.26241639256477356, -0.07449351251125336, 0.32380399107933044, 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open-llm-leaderboard/details_janhq__supermario-v2	open-llm-leaderboard	2023-12-12T05:37:09Z	0	[ "region:us" ]	null	2023-12-12T05:36:27Z	--- pretty_name: Evaluation run of janhq/supermario-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-v2](https://huggingface.co/janhq/supermario-v2) 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_janhq__supermario-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T05:33:32.497051](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2/blob/main/results_2023-12-12T05-33-32.497051.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\": 0.6533206964078709,\n\ \ \"acc_stderr\": 0.03205268515858169,\n \"acc_norm\": 0.6531030767387064,\n\ \ \"acc_norm_stderr\": 0.03271825548664744,\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.605797177274584,\n\ \ \"mc2_stderr\": 0.015128279082831566\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6578498293515358,\n \"acc_stderr\": 0.013864152159177275,\n\ \ \"acc_norm\": 0.6851535836177475,\n \"acc_norm_stderr\": 0.013572657703084948\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6763592909778928,\n\ \ \"acc_stderr\": 0.004669085411342194,\n \"acc_norm\": 0.8650667197769368,\n\ \ \"acc_norm_stderr\": 0.0034095405332498414\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6296296296296297,\n\ \ \"acc_stderr\": 0.041716541613545426,\n \"acc_norm\": 0.6296296296296297,\n\ \ \"acc_norm_stderr\": 0.041716541613545426\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.02804918631569525,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.02804918631569525\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n\ \ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\ \ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4365079365079365,\n\ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7741935483870968,\n \"acc_stderr\": 0.023785577884181015,\n \"\ acc_norm\": 0.7741935483870968,\n \"acc_norm_stderr\": 0.023785577884181015\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n \"\ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267045,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267045\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8550458715596331,\n \"acc_stderr\": 0.01509421569970048,\n \"\ acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.01509421569970048\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5509259259259259,\n \"acc_stderr\": 0.03392238405321617,\n \"\ acc_norm\": 0.5509259259259259,\n \"acc_norm_stderr\": 0.03392238405321617\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8137254901960784,\n \"acc_stderr\": 0.027325470966716312,\n \"\ acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.027325470966716312\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601432,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601432\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8760683760683761,\n\ \ \"acc_stderr\": 0.021586494001281376,\n \"acc_norm\": 0.8760683760683761,\n\ \ \"acc_norm_stderr\": 0.021586494001281376\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608313,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608313\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500104,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500104\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.38994413407821227,\n\ \ \"acc_stderr\": 0.01631237662921307,\n \"acc_norm\": 0.38994413407821227,\n\ \ \"acc_norm_stderr\": 0.01631237662921307\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729477,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729477\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7561728395061729,\n \"acc_stderr\": 0.023891879541959607,\n\ \ \"acc_norm\": 0.7561728395061729,\n \"acc_norm_stderr\": 0.023891879541959607\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.46936114732724904,\n\ \ \"acc_stderr\": 0.012746237711716634,\n \"acc_norm\": 0.46936114732724904,\n\ \ \"acc_norm_stderr\": 0.012746237711716634\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6830065359477124,\n \"acc_stderr\": 0.018824219512706207,\n \ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.018824219512706207\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8606965174129353,\n\ \ \"acc_stderr\": 0.024484487162913973,\n \"acc_norm\": 0.8606965174129353,\n\ \ \"acc_norm_stderr\": 0.024484487162913973\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.605797177274584,\n\ \ \"mc2_stderr\": 0.015128279082831566\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.813733228097869,\n \"acc_stderr\": 0.010941877955676206\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7217589082638363,\n \ \ \"acc_stderr\": 0.012343803671422682\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-v2 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|arc:challenge\|25_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T05-33-32.497051.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|gsm8k\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hellaswag\|10_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-33-32.497051.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T05-33-32.497051.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '/details_harness\|winogrande\|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T05-33-32.497051.parquet' - config_name: results data_files: - split: 2023_12_12T05_33_32.497051 path: - results_2023-12-12T05-33-32.497051.parquet - split: latest path: - results_2023-12-12T05-33-32.497051.parquet --- # Dataset Card for Evaluation run of janhq/supermario-v2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [janhq/supermario-v2](https://huggingface.co/janhq/supermario-v2) 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_janhq__supermario-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T05:33:32.497051](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2/blob/main/results_2023-12-12T05-33-32.497051.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": 0.6533206964078709, "acc_stderr": 0.03205268515858169, "acc_norm": 0.6531030767387064, "acc_norm_stderr": 0.03271825548664744, "mc1": 0.44430844553243576, "mc1_stderr": 0.017394586250743173, "mc2": 0.605797177274584, "mc2_stderr": 0.015128279082831566 }, "harness\|arc:challenge\|25": { "acc": 0.6578498293515358, "acc_stderr": 0.013864152159177275, "acc_norm": 0.6851535836177475, "acc_norm_stderr": 0.013572657703084948 }, "harness\|hellaswag\|10": { "acc": 0.6763592909778928, "acc_stderr": 0.004669085411342194, "acc_norm": 0.8650667197769368, "acc_norm_stderr": 0.0034095405332498414 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6296296296296297, "acc_stderr": 0.041716541613545426, "acc_norm": 0.6296296296296297, "acc_norm_stderr": 0.041716541613545426 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7056603773584905, "acc_stderr": 0.02804918631569525, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.02804918631569525 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7847222222222222, "acc_stderr": 0.03437079344106135, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.03437079344106135 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5957446808510638, "acc_stderr": 0.03208115750788684, "acc_norm": 0.5957446808510638, "acc_norm_stderr": 0.03208115750788684 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5241379310344828, "acc_stderr": 0.0416180850350153, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.0416180850350153 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.02548718714785938, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.02548718714785938 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7741935483870968, "acc_stderr": 0.023785577884181015, "acc_norm": 0.7741935483870968, "acc_norm_stderr": 0.023785577884181015 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175008, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175008 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267045, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267045 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465066, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465066 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6848739495798319, "acc_stderr": 0.030176808288974337, "acc_norm": 0.6848739495798319, "acc_norm_stderr": 0.030176808288974337 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8550458715596331, "acc_stderr": 0.01509421569970048, "acc_norm": 0.8550458715596331, "acc_norm_stderr": 0.01509421569970048 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5509259259259259, "acc_stderr": 0.03392238405321617, "acc_norm": 0.5509259259259259, "acc_norm_stderr": 0.03392238405321617 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8137254901960784, "acc_stderr": 0.027325470966716312, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.027325470966716312 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601432, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601432 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7572815533980582, "acc_stderr": 0.04245022486384495, "acc_norm": 0.7572815533980582, "acc_norm_stderr": 0.04245022486384495 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8760683760683761, "acc_stderr": 0.021586494001281376, "acc_norm": 0.8760683760683761, "acc_norm_stderr": 0.021586494001281376 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8301404853128991, "acc_stderr": 0.013428186370608313, "acc_norm": 0.8301404853128991, "acc_norm_stderr": 0.013428186370608313 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500104, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500104 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.38994413407821227, "acc_stderr": 0.01631237662921307, "acc_norm": 0.38994413407821227, "acc_norm_stderr": 0.01631237662921307 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729477, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729477 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7138263665594855, "acc_stderr": 0.025670259242188933, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.025670259242188933 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7561728395061729, "acc_stderr": 0.023891879541959607, "acc_norm": 0.7561728395061729, "acc_norm_stderr": 0.023891879541959607 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.46936114732724904, "acc_stderr": 0.012746237711716634, "acc_norm": 0.46936114732724904, "acc_norm_stderr": 0.012746237711716634 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6911764705882353, "acc_stderr": 0.02806499816704009, "acc_norm": 0.6911764705882353, "acc_norm_stderr": 0.02806499816704009 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6830065359477124, "acc_stderr": 0.018824219512706207, "acc_norm": 0.6830065359477124, "acc_norm_stderr": 0.018824219512706207 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8606965174129353, "acc_stderr": 0.024484487162913973, "acc_norm": 0.8606965174129353, "acc_norm_stderr": 0.024484487162913973 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.034873508801977704, "acc_norm": 0.86, "acc_norm_stderr": 0.034873508801977704 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.44430844553243576, "mc1_stderr": 0.017394586250743173, "mc2": 0.605797177274584, "mc2_stderr": 0.015128279082831566 }, "harness\|winogrande\|5": { "acc": 0.813733228097869, "acc_stderr": 0.010941877955676206 }, "harness\|gsm8k\|5": { "acc": 0.7217589082638363, "acc_stderr": 0.012343803671422682 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7462746500968933, -0.8177871108055115, 0.26286518573760986, 0.16220621764659882, -0.19379910826683044, -0.10085023939609528, 0.08001220226287842, -0.21364374458789825, 0.5912523865699768, -0.06854798644781113, -0.5236836671829224, -0.6594815254211426, -0.41887158155441284, 0.22981171309947968, -0.025815704837441444, 0.9131180047988892, -0.13005073368549347, 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higart/recursos_tracer	higart	2023-12-13T04:12:56Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T05:59:10Z	--- license: apache-2.0 ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, -0.08836933970451355, -0.2275441437959671, -0.45892030000686646, 0.42230701446533203, -0.3327735662460327, -0.4213368594646454, -0.26241639256477356, -0.07449351251125336, 0.32380399107933044, 0.7903711199760437, 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open-llm-leaderboard/details_Undi95__Clover3-17B	open-llm-leaderboard	2023-12-12T06:14:14Z	0	[ "region:us" ]	null	2023-12-12T06:13:20Z	--- pretty_name: Evaluation run of Undi95/Clover3-17B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Undi95/Clover3-17B](https://huggingface.co/Undi95/Clover3-17B) 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_Undi95__Clover3-17B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:10:19.622221](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__Clover3-17B/blob/main/results_2023-12-12T06-10-19.622221.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\": 0.600361059236723,\n\ \ \"acc_stderr\": 0.033074807649830854,\n \"acc_norm\": 0.608082187606879,\n\ \ \"acc_norm_stderr\": 0.03379934177123045,\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.01550620472283456,\n \"mc2\": 0.4072173688663445,\n\ \ \"mc2_stderr\": 0.014502556892504742\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5656996587030717,\n \"acc_stderr\": 0.01448470304885736,\n\ \ \"acc_norm\": 0.5989761092150171,\n \"acc_norm_stderr\": 0.014322255790719867\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6161123282214698,\n\ \ \"acc_stderr\": 0.004853371646239244,\n \"acc_norm\": 0.811790479984067,\n\ \ \"acc_norm_stderr\": 0.003900805416736722\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.0387813988879761,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.0387813988879761\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6226415094339622,\n \"acc_stderr\": 0.029832808114796005,\n\ \ \"acc_norm\": 0.6226415094339622,\n \"acc_norm_stderr\": 0.029832808114796005\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\ : 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.046854730419077895,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.046854730419077895\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113729,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113729\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3968253968253968,\n\ \ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\ \ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.7387096774193549,\n\ \ \"acc_stderr\": 0.024993053397764826,\n \"acc_norm\": 0.7387096774193549,\n\ \ \"acc_norm_stderr\": 0.024993053397764826\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.46798029556650245,\n \"acc_stderr\": 0.035107665979592154,\n\ \ \"acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.035107665979592154\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885417,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885417\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7424242424242424,\n \"acc_stderr\": 0.031156269519646836,\n \"\ acc_norm\": 0.7424242424242424,\n \"acc_norm_stderr\": 0.031156269519646836\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153327,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153327\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6410256410256411,\n \"acc_stderr\": 0.024321738484602354,\n\ \ \"acc_norm\": 0.6410256410256411,\n \"acc_norm_stderr\": 0.024321738484602354\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.028661201116524575,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.028661201116524575\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658753,\n \"\ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658753\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.818348623853211,\n \"acc_stderr\": 0.01653061740926687,\n \"acc_norm\"\ : 0.818348623853211,\n \"acc_norm_stderr\": 0.01653061740926687\n },\n\ \ \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\": 0.4675925925925926,\n\ \ \"acc_stderr\": 0.034028015813589656,\n \"acc_norm\": 0.4675925925925926,\n\ \ \"acc_norm_stderr\": 0.034028015813589656\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.030190282453501954,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.030190282453501954\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7426160337552743,\n \"acc_stderr\": 0.028458820991460305,\n \ \ \"acc_norm\": 0.7426160337552743,\n \"acc_norm_stderr\": 0.028458820991460305\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6771300448430493,\n\ \ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\ \ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.04026187527591205,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.04026187527591205\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\ \ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165612,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165612\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.014036945850381398,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.014036945850381398\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.02599247202930639,\n\ \ \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.02599247202930639\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.20446927374301677,\n\ \ \"acc_stderr\": 0.013488813404711919,\n \"acc_norm\": 0.20446927374301677,\n\ \ \"acc_norm_stderr\": 0.013488813404711919\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6928104575163399,\n \"acc_stderr\": 0.026415601914388992,\n\ \ \"acc_norm\": 0.6928104575163399,\n \"acc_norm_stderr\": 0.026415601914388992\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6720257234726688,\n\ \ \"acc_stderr\": 0.026664410886937624,\n \"acc_norm\": 0.6720257234726688,\n\ \ \"acc_norm_stderr\": 0.026664410886937624\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6882716049382716,\n \"acc_stderr\": 0.02577311116963046,\n\ \ \"acc_norm\": 0.6882716049382716,\n \"acc_norm_stderr\": 0.02577311116963046\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.029392236584612506,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.029392236584612506\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.42698826597131684,\n\ \ \"acc_stderr\": 0.012633353557534425,\n \"acc_norm\": 0.42698826597131684,\n\ \ \"acc_norm_stderr\": 0.012633353557534425\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.02909720956841195,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.02909720956841195\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6176470588235294,\n \"acc_stderr\": 0.01965992249362335,\n \ \ \"acc_norm\": 0.6176470588235294,\n \"acc_norm_stderr\": 0.01965992249362335\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6448979591836734,\n \"acc_stderr\": 0.030635655150387638,\n\ \ \"acc_norm\": 0.6448979591836734,\n \"acc_norm_stderr\": 0.030635655150387638\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7960199004975125,\n\ \ \"acc_stderr\": 0.02849317624532607,\n \"acc_norm\": 0.7960199004975125,\n\ \ \"acc_norm_stderr\": 0.02849317624532607\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536955,\n \ \ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536955\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.01550620472283456,\n \"mc2\": 0.4072173688663445,\n\ \ \"mc2_stderr\": 0.014502556892504742\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7861089187056038,\n \"acc_stderr\": 0.011524466954090259\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.18802122820318423,\n \ \ \"acc_stderr\": 0.010762621695354888\n }\n}\n```" repo_url: https://huggingface.co/Undi95/Clover3-17B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-10-19.622221.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|gsm8k\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hellaswag\|10_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-10-19.622221.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-10-19.622221.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '/details_harness\|winogrande\|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T06-10-19.622221.parquet' - config_name: results data_files: - split: 2023_12_12T06_10_19.622221 path: - results_2023-12-12T06-10-19.622221.parquet - split: latest path: - results_2023-12-12T06-10-19.622221.parquet --- # Dataset Card for Evaluation run of Undi95/Clover3-17B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Undi95/Clover3-17B](https://huggingface.co/Undi95/Clover3-17B) 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_Undi95__Clover3-17B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:10:19.622221](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__Clover3-17B/blob/main/results_2023-12-12T06-10-19.622221.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": 0.600361059236723, "acc_stderr": 0.033074807649830854, "acc_norm": 0.608082187606879, "acc_norm_stderr": 0.03379934177123045, "mc1": 0.26805385556915545, "mc1_stderr": 0.01550620472283456, "mc2": 0.4072173688663445, "mc2_stderr": 0.014502556892504742 }, "harness\|arc:challenge\|25": { "acc": 0.5656996587030717, "acc_stderr": 0.01448470304885736, "acc_norm": 0.5989761092150171, "acc_norm_stderr": 0.014322255790719867 }, "harness\|hellaswag\|10": { "acc": 0.6161123282214698, "acc_stderr": 0.004853371646239244, "acc_norm": 0.811790479984067, "acc_norm_stderr": 0.003900805416736722 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6513157894736842, "acc_stderr": 0.0387813988879761, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.0387813988879761 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6226415094339622, "acc_stderr": 0.029832808114796005, "acc_norm": 0.6226415094339622, "acc_norm_stderr": 0.029832808114796005 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082636, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082636 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5531914893617021, "acc_stderr": 0.0325005368436584, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.0325005368436584 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.45614035087719296, 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"harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4675925925925926, "acc_stderr": 0.034028015813589656, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.034028015813589656 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7549019607843137, "acc_stderr": 0.030190282453501954, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.030190282453501954 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7426160337552743, "acc_stderr": 0.028458820991460305, "acc_norm": 0.7426160337552743, "acc_norm_stderr": 0.028458820991460305 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6771300448430493, "acc_stderr": 0.03138147637575499, "acc_norm": 0.6771300448430493, "acc_norm_stderr": 0.03138147637575499 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7175572519083969, "acc_stderr": 0.03948406125768361, "acc_norm": 0.7175572519083969, "acc_norm_stderr": 0.03948406125768361 }, "harness\|hendrycksTest-international_law\|5": { "acc": 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"acc_stderr": 0.026664410886937624, "acc_norm": 0.6720257234726688, "acc_norm_stderr": 0.026664410886937624 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6882716049382716, "acc_stderr": 0.02577311116963046, "acc_norm": 0.6882716049382716, "acc_norm_stderr": 0.02577311116963046 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4148936170212766, "acc_stderr": 0.029392236584612506, "acc_norm": 0.4148936170212766, "acc_norm_stderr": 0.029392236584612506 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.42698826597131684, "acc_stderr": 0.012633353557534425, "acc_norm": 0.42698826597131684, "acc_norm_stderr": 0.012633353557534425 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6433823529411765, "acc_stderr": 0.02909720956841195, "acc_norm": 0.6433823529411765, "acc_norm_stderr": 0.02909720956841195 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6176470588235294, "acc_stderr": 0.01965992249362335, "acc_norm": 0.6176470588235294, "acc_norm_stderr": 0.01965992249362335 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6, "acc_stderr": 0.0469237132203465, "acc_norm": 0.6, "acc_norm_stderr": 0.0469237132203465 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6448979591836734, "acc_stderr": 0.030635655150387638, "acc_norm": 0.6448979591836734, "acc_norm_stderr": 0.030635655150387638 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7960199004975125, "acc_stderr": 0.02849317624532607, "acc_norm": 0.7960199004975125, "acc_norm_stderr": 0.02849317624532607 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.82, "acc_stderr": 0.038612291966536955, "acc_norm": 0.82, "acc_norm_stderr": 0.038612291966536955 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.26805385556915545, "mc1_stderr": 0.01550620472283456, "mc2": 0.4072173688663445, "mc2_stderr": 0.014502556892504742 }, "harness\|winogrande\|5": { "acc": 0.7861089187056038, "acc_stderr": 0.011524466954090259 }, "harness\|gsm8k\|5": { "acc": 0.18802122820318423, "acc_stderr": 0.010762621695354888 } } ``` ## 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 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7211177945137024, -0.8169543147087097, 0.3140678107738495, 0.2433793842792511, -0.17068345844745636, -0.0625978335738182, 0.07277730107307434, -0.21164295077323914, 0.5837027430534363, -0.06549861282110214, -0.502696692943573, -0.7099305391311646, -0.4122614860534668, 0.23203741014003754, -0.04647976532578468, 0.8269537687301636, -0.16268707811832428, 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open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7	open-llm-leaderboard	2023-12-12T06:23:33Z	0	[ "region:us" ]	null	2023-12-12T06:22:45Z	--- pretty_name: Evaluation run of Sao10K/Venomia-1.1-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Venomia-1.1-m7](https://huggingface.co/Sao10K/Venomia-1.1-m7) 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_Sao10K__Venomia-1.1-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:19:54.268543](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7/blob/main/results_2023-12-12T06-19-54.268543.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\": 0.5646939992249473,\n\ \ \"acc_stderr\": 0.03365626984219371,\n \"acc_norm\": 0.5687314107018308,\n\ \ \"acc_norm_stderr\": 0.03434566057163248,\n \"mc1\": 0.31946144430844553,\n\ \ \"mc1_stderr\": 0.0163226441829605,\n \"mc2\": 0.47211906040617,\n\ \ \"mc2_stderr\": 0.015511830880546584\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5563139931740614,\n \"acc_stderr\": 0.014518421825670442,\n\ \ \"acc_norm\": 0.5844709897610921,\n \"acc_norm_stderr\": 0.014401366641216384\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6445927106154152,\n\ \ \"acc_stderr\": 0.004776583530909567,\n \"acc_norm\": 0.8304122684724159,\n\ \ \"acc_norm_stderr\": 0.0037450326672282797\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5555555555555556,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6052631578947368,\n \"acc_stderr\": 0.039777499346220734,\n\ \ \"acc_norm\": 0.6052631578947368,\n \"acc_norm_stderr\": 0.039777499346220734\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.5547169811320755,\n \"acc_stderr\": 0.03058805297427065,\n\ \ \"acc_norm\": 0.5547169811320755,\n \"acc_norm_stderr\": 0.03058805297427065\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5549132947976878,\n\ \ \"acc_stderr\": 0.03789401760283647,\n \"acc_norm\": 0.5549132947976878,\n\ \ \"acc_norm_stderr\": 0.03789401760283647\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.045766654032077615,\n\ \ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.045766654032077615\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.4851063829787234,\n \"acc_stderr\": 0.032671518489247764,\n\ \ \"acc_norm\": 0.4851063829787234,\n \"acc_norm_stderr\": 0.032671518489247764\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.41228070175438597,\n\ \ \"acc_stderr\": 0.046306532033665956,\n \"acc_norm\": 0.41228070175438597,\n\ \ \"acc_norm_stderr\": 0.046306532033665956\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878151,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878151\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.02494236893115979,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.02494236893115979\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.042163702135578345,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.042163702135578345\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.6548387096774193,\n \"acc_stderr\": 0.027045746573534327,\n \"\ acc_norm\": 0.6548387096774193,\n \"acc_norm_stderr\": 0.027045746573534327\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\"\ : 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.6767676767676768,\n \"acc_stderr\": 0.033322999210706444,\n \"\ acc_norm\": 0.6767676767676768,\n \"acc_norm_stderr\": 0.033322999210706444\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.772020725388601,\n \"acc_stderr\": 0.03027690994517826,\n\ \ \"acc_norm\": 0.772020725388601,\n \"acc_norm_stderr\": 0.03027690994517826\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.4897435897435897,\n \"acc_stderr\": 0.025345672221942374,\n\ \ \"acc_norm\": 0.4897435897435897,\n \"acc_norm_stderr\": 0.025345672221942374\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2962962962962963,\n \"acc_stderr\": 0.02784081149587192,\n \ \ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.02784081149587192\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5168067226890757,\n \"acc_stderr\": 0.03246013680375308,\n \ \ \"acc_norm\": 0.5168067226890757,\n \"acc_norm_stderr\": 0.03246013680375308\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7155963302752294,\n \"acc_stderr\": 0.019342036587702574,\n \"\ acc_norm\": 0.7155963302752294,\n \"acc_norm_stderr\": 0.019342036587702574\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\"\ : 0.7009803921568627,\n \"acc_stderr\": 0.03213325717373617,\n \"\ acc_norm\": 0.7009803921568627,\n \"acc_norm_stderr\": 0.03213325717373617\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7130801687763713,\n \"acc_stderr\": 0.029443773022594693,\n \ \ \"acc_norm\": 0.7130801687763713,\n \"acc_norm_stderr\": 0.029443773022594693\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467765,\n\ \ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467765\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7024793388429752,\n \"acc_stderr\": 0.04173349148083499,\n \"\ acc_norm\": 0.7024793388429752,\n \"acc_norm_stderr\": 0.04173349148083499\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04643454608906276,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04643454608906276\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7116564417177914,\n \"acc_stderr\": 0.035590395316173425,\n\ \ \"acc_norm\": 0.7116564417177914,\n \"acc_norm_stderr\": 0.035590395316173425\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.046695106638751906,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.046695106638751906\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6310679611650486,\n \"acc_stderr\": 0.0477761518115674,\n\ \ \"acc_norm\": 0.6310679611650486,\n \"acc_norm_stderr\": 0.0477761518115674\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \ \ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.756066411238825,\n\ \ \"acc_stderr\": 0.015357212665829463,\n \"acc_norm\": 0.756066411238825,\n\ \ \"acc_norm_stderr\": 0.015357212665829463\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.026226158605124655,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.026226158605124655\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.28268156424581004,\n\ \ \"acc_stderr\": 0.015060381730018115,\n \"acc_norm\": 0.28268156424581004,\n\ \ \"acc_norm_stderr\": 0.015060381730018115\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6437908496732027,\n \"acc_stderr\": 0.027420477662629235,\n\ \ \"acc_norm\": 0.6437908496732027,\n \"acc_norm_stderr\": 0.027420477662629235\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6077170418006431,\n\ \ \"acc_stderr\": 0.02773125864701199,\n \"acc_norm\": 0.6077170418006431,\n\ \ \"acc_norm_stderr\": 0.02773125864701199\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6481481481481481,\n \"acc_stderr\": 0.026571483480719974,\n\ \ \"acc_norm\": 0.6481481481481481,\n \"acc_norm_stderr\": 0.026571483480719974\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.0293922365846125,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.0293922365846125\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4028683181225554,\n\ \ \"acc_stderr\": 0.012526955577118014,\n \"acc_norm\": 0.4028683181225554,\n\ \ \"acc_norm_stderr\": 0.012526955577118014\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.48161764705882354,\n \"acc_stderr\": 0.03035230339535196,\n\ \ \"acc_norm\": 0.48161764705882354,\n \"acc_norm_stderr\": 0.03035230339535196\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5898692810457516,\n \"acc_stderr\": 0.019898412717635903,\n \ \ \"acc_norm\": 0.5898692810457516,\n \"acc_norm_stderr\": 0.019898412717635903\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6979591836734694,\n \"acc_stderr\": 0.0293936093198798,\n\ \ \"acc_norm\": 0.6979591836734694,\n \"acc_norm_stderr\": 0.0293936093198798\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.02650859065623326,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.02650859065623326\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4879518072289157,\n\ \ \"acc_stderr\": 0.0389136449583582,\n \"acc_norm\": 0.4879518072289157,\n\ \ \"acc_norm_stderr\": 0.0389136449583582\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.31946144430844553,\n\ \ \"mc1_stderr\": 0.0163226441829605,\n \"mc2\": 0.47211906040617,\n\ \ \"mc2_stderr\": 0.015511830880546584\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440473\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.36087945413191813,\n \ \ \"acc_stderr\": 0.013228626753925136\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Venomia-1.1-m7 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-19-54.268543.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|gsm8k\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hellaswag\|10_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-19-54.268543.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-19-54.268543.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '/details_harness\|winogrande\|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T06-19-54.268543.parquet' - config_name: results data_files: - split: 2023_12_12T06_19_54.268543 path: - results_2023-12-12T06-19-54.268543.parquet - split: latest path: - results_2023-12-12T06-19-54.268543.parquet --- # Dataset Card for Evaluation run of Sao10K/Venomia-1.1-m7 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Sao10K/Venomia-1.1-m7](https://huggingface.co/Sao10K/Venomia-1.1-m7) 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_Sao10K__Venomia-1.1-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:19:54.268543](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7/blob/main/results_2023-12-12T06-19-54.268543.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": 0.5646939992249473, "acc_stderr": 0.03365626984219371, "acc_norm": 0.5687314107018308, "acc_norm_stderr": 0.03434566057163248, "mc1": 0.31946144430844553, "mc1_stderr": 0.0163226441829605, "mc2": 0.47211906040617, "mc2_stderr": 0.015511830880546584 }, "harness\|arc:challenge\|25": { "acc": 0.5563139931740614, "acc_stderr": 0.014518421825670442, "acc_norm": 0.5844709897610921, "acc_norm_stderr": 0.014401366641216384 }, "harness\|hellaswag\|10": { "acc": 0.6445927106154152, "acc_stderr": 0.004776583530909567, "acc_norm": 0.8304122684724159, "acc_norm_stderr": 0.0037450326672282797 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6052631578947368, "acc_stderr": 0.039777499346220734, "acc_norm": 0.6052631578947368, "acc_norm_stderr": 0.039777499346220734 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.5547169811320755, "acc_stderr": 0.03058805297427065, "acc_norm": 0.5547169811320755, "acc_norm_stderr": 0.03058805297427065 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5549132947976878, "acc_stderr": 0.03789401760283647, "acc_norm": 0.5549132947976878, "acc_norm_stderr": 0.03789401760283647 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.30392156862745096, "acc_stderr": 0.045766654032077615, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.045766654032077615 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4851063829787234, "acc_stderr": 0.032671518489247764, "acc_norm": 0.4851063829787234, "acc_norm_stderr": 0.032671518489247764 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.41228070175438597, "acc_stderr": 0.046306532033665956, "acc_norm": 0.41228070175438597, "acc_norm_stderr": 0.046306532033665956 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878151, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878151 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.37566137566137564, "acc_stderr": 0.02494236893115979, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.02494236893115979 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.042163702135578345, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.042163702135578345 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6548387096774193, "acc_stderr": 0.027045746573534327, "acc_norm": 0.6548387096774193, "acc_norm_stderr": 0.027045746573534327 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.6767676767676768, "acc_stderr": 0.033322999210706444, "acc_norm": 0.6767676767676768, "acc_norm_stderr": 0.033322999210706444 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.772020725388601, "acc_stderr": 0.03027690994517826, "acc_norm": 0.772020725388601, "acc_norm_stderr": 0.03027690994517826 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.4897435897435897, "acc_stderr": 0.025345672221942374, "acc_norm": 0.4897435897435897, "acc_norm_stderr": 0.025345672221942374 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2962962962962963, "acc_stderr": 0.02784081149587192, "acc_norm": 0.2962962962962963, "acc_norm_stderr": 0.02784081149587192 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5168067226890757, "acc_stderr": 0.03246013680375308, "acc_norm": 0.5168067226890757, "acc_norm_stderr": 0.03246013680375308 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7155963302752294, "acc_stderr": 0.019342036587702574, "acc_norm": 0.7155963302752294, "acc_norm_stderr": 0.019342036587702574 }, "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": 0.7009803921568627, "acc_stderr": 0.03213325717373617, "acc_norm": 0.7009803921568627, "acc_norm_stderr": 0.03213325717373617 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7130801687763713, "acc_stderr": 0.029443773022594693, "acc_norm": 0.7130801687763713, "acc_norm_stderr": 0.029443773022594693 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7099236641221374, "acc_stderr": 0.03980066246467765, "acc_norm": 0.7099236641221374, "acc_norm_stderr": 0.03980066246467765 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7024793388429752, "acc_stderr": 0.04173349148083499, "acc_norm": 0.7024793388429752, "acc_norm_stderr": 0.04173349148083499 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04643454608906276, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04643454608906276 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7116564417177914, "acc_stderr": 0.035590395316173425, "acc_norm": 0.7116564417177914, "acc_norm_stderr": 0.035590395316173425 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4107142857142857, "acc_stderr": 0.046695106638751906, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.046695106638751906 }, "harness\|hendrycksTest-management\|5": { "acc": 0.6310679611650486, "acc_stderr": 0.0477761518115674, "acc_norm": 0.6310679611650486, "acc_norm_stderr": 0.0477761518115674 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7564715147018433, -0.7972396612167358, 0.24553580582141876, 0.18548683822155, -0.19114629924297333, -0.07152199745178223, 0.0784967839717865, -0.21489299833774567, 0.6556099653244019, -0.10328943282365799, -0.45319831371307373, -0.6979361772537231, -0.46869245171546936, 0.2742016613483429, -0.04970559477806091, 0.8446152806282043, -0.1296641081571579, 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lorinma/Wildchat_zh_sharegpt_Subsample_20K	lorinma	2023-12-13T07:22:29Z	1	[ "task_categories:conversational", "task_categories:text-generation", "size_categories:10K<n<100K", "language:zh", "arxiv:1708.00489", "region:us" ]	[ "conversational", "text-generation" ]	2023-12-12T06:26:19Z	--- language: - zh task_categories: - conversational - text-generation size_categories: - 10K<n<100K --- A big shout out to AllenAI, you guys rock! 从[WildChat](https://huggingface.co/datasets/allenai/WildChat)中抽出中文对话,但是因为发现了很多重复对话，有的人会反复的用一个prompt进行提问，有的人会换3.5或4去问同样的问题，所以进行了简单的去重。去重方法大致为，使用[bert-base-chinese](https://huggingface.co/bert-base-chinese)将第一个问题转换为embedding，使用[类knn的方法](https://arxiv.org/pdf/1708.00489.pdf)抽取了1万条。并转换成了sharegpt格式。注意！在对话中发现了NSFW的内容，并没有进行过滤，使用请注意甄别。你会找到三个jsonl文件： * wildchat-seed-multi-200.json 是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的200个种子任务，用于EvolInsturction。 * Subsample_10K.jsonl 原始版本，是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的1万个对话。 * 1213_Wildchat_zh_Sharegpt_ConcatSubsample_20k.jsonl 更新，是使用每一个单独的Dialogue的所有HumanQuestion concat起来为基础，采样的2万个对话。	[ -0.37141329050064087, -0.8873822093009949, 0.1855423003435135, 0.7725390791893005, -0.45597925782203674, -0.050615958869457245, -0.1612345278263092, -0.7693008780479431, 0.8245499730110168, 0.2913484573364258, -0.6940857768058777, -0.7503716349601746, -0.5499699115753174, 0.24479393661022186, -0.27710771560668945, 0.8913087844848633, -0.09798375517129898, 0.02155229263007641, 0.4260583221912384, -0.3743816912174225, -0.6679608225822449, -0.2419552057981491, -0.7573104500770569, -0.23601597547531128, 0.393667072057724, 0.25459787249565125, 0.7948930859565735, 0.49510347843170166, 0.5575119256973267, 0.36582493782043457, 0.05074487626552582, 0.44900190830230713, -0.6124854683876038, 0.2745429277420044, 0.1982225775718689, -0.2970145344734192, -0.5855533480644226, -0.19236958026885986, 0.7020404934883118, 0.7095351219177246, -0.11234206706285477, -0.06721116602420807, 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amitkedia/Financial-Fraud-Dataset	amitkedia	2023-12-12T06:31:55Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T06:31:55Z	--- license: apache-2.0 ---	[ -0.12853382527828217, -0.18616759777069092, 0.6529127359390259, 0.4943622946739197, -0.19319312274456024, 0.2360745370388031, 0.36071982979774475, 0.0505632609128952, 0.5793654322624207, 0.7400140166282654, -0.6508103609085083, -0.23783966898918152, -0.7102251052856445, -0.04782608151435852, -0.38947516679763794, 0.8470764756202698, -0.09598269313573837, 0.024005070328712463, 0.047120124101638794, -0.1431782990694046, -0.6121039390563965, -0.047717586159706116, -1.0524537563323975, -0.06787474453449249, 0.30022820830345154, 0.5120974779129028, 0.8275898694992065, 0.39602941274642944, 0.503056526184082, 1.7515556812286377, -0.08836926519870758, -0.2275443822145462, -0.4589206278324127, 0.42230695486068726, -0.3327735960483551, -0.4213370382785797, -0.2624163329601288, -0.07449373602867126, 0.3238040804862976, 0.7903716564178467, 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open-llm-leaderboard/details_AA051610__A12P	open-llm-leaderboard	2023-12-12T07:01:10Z	0	[ "region:us" ]	null	2023-12-12T07:00:27Z	--- pretty_name: Evaluation run of AA051610/A12P dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [AA051610/A12P](https://huggingface.co/AA051610/A12P) 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_AA051610__A12P\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:57:37.769631](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__A12P/blob/main/results_2023-12-12T06-57-37.769631.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\": 0.6960316046766869,\n\ \ \"acc_stderr\": 0.030603322312658773,\n \"acc_norm\": 0.7008390046754603,\n\ \ \"acc_norm_stderr\": 0.031195836387238177,\n \"mc1\": 0.4565483476132191,\n\ \ \"mc1_stderr\": 0.01743728095318369,\n \"mc2\": 0.6222123218100973,\n\ \ \"mc2_stderr\": 0.015308802289329178\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6254266211604096,\n \"acc_stderr\": 0.014144193471893454,\n\ \ \"acc_norm\": 0.64419795221843,\n \"acc_norm_stderr\": 0.01399057113791876\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6210914160525791,\n\ \ \"acc_stderr\": 0.004841238763529372,\n \"acc_norm\": 0.8232423819956184,\n\ \ \"acc_norm_stderr\": 0.0038068384481617415\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.04218506215368879,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.04218506215368879\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8355263157894737,\n \"acc_stderr\": 0.030167533468632723,\n\ \ \"acc_norm\": 0.8355263157894737,\n \"acc_norm_stderr\": 0.030167533468632723\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.77,\n\ \ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n \ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7320754716981132,\n \"acc_stderr\": 0.027257260322494845,\n\ \ \"acc_norm\": 0.7320754716981132,\n \"acc_norm_stderr\": 0.027257260322494845\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.049888765156985884,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.049888765156985884\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.59,\n \"acc_stderr\": 0.04943110704237101,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237101\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6242774566473989,\n\ \ \"acc_stderr\": 0.036928207672648664,\n \"acc_norm\": 0.6242774566473989,\n\ \ \"acc_norm_stderr\": 0.036928207672648664\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\": 0.81,\n\ \ \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.7319148936170212,\n \"acc_stderr\": 0.028957342788342343,\n\ \ \"acc_norm\": 0.7319148936170212,\n \"acc_norm_stderr\": 0.028957342788342343\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.7103448275862069,\n \"acc_stderr\": 0.03780019230438015,\n\ \ \"acc_norm\": 0.7103448275862069,\n \"acc_norm_stderr\": 0.03780019230438015\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.5714285714285714,\n \"acc_stderr\": 0.025487187147859375,\n \"\ acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.025487187147859375\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.46825396825396826,\n\ \ \"acc_stderr\": 0.04463112720677171,\n \"acc_norm\": 0.46825396825396826,\n\ \ \"acc_norm_stderr\": 0.04463112720677171\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.8483870967741935,\n\ \ \"acc_stderr\": 0.02040261665441676,\n \"acc_norm\": 0.8483870967741935,\n\ \ \"acc_norm_stderr\": 0.02040261665441676\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162934,\n\ \ \"acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162934\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\ : 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880215,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880215\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7410256410256411,\n \"acc_stderr\": 0.022211106810061665,\n\ \ \"acc_norm\": 0.7410256410256411,\n \"acc_norm_stderr\": 0.022211106810061665\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.8151260504201681,\n \"acc_stderr\": 0.025215992877954202,\n\ \ \"acc_norm\": 0.8151260504201681,\n \"acc_norm_stderr\": 0.025215992877954202\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.41721854304635764,\n \"acc_stderr\": 0.040261414976346104,\n \"\ acc_norm\": 0.41721854304635764,\n \"acc_norm_stderr\": 0.040261414976346104\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8642201834862385,\n \"acc_stderr\": 0.01468690755634002,\n \"\ acc_norm\": 0.8642201834862385,\n \"acc_norm_stderr\": 0.01468690755634002\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.0338517797604481,\n \"acc_norm\"\ : 0.5601851851851852,\n \"acc_norm_stderr\": 0.0338517797604481\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.8627450980392157,\n\ \ \"acc_stderr\": 0.024152225962801588,\n \"acc_norm\": 0.8627450980392157,\n\ \ \"acc_norm_stderr\": 0.024152225962801588\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.8776371308016878,\n \"acc_stderr\": 0.021331741829746793,\n\ \ \"acc_norm\": 0.8776371308016878,\n \"acc_norm_stderr\": 0.021331741829746793\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.028380391147094706,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.028380391147094706\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804475,\n\ \ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804475\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8347107438016529,\n \"acc_stderr\": 0.03390780612972776,\n \"\ acc_norm\": 0.8347107438016529,\n \"acc_norm_stderr\": 0.03390780612972776\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797174,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797174\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.6071428571428571,\n\ \ \"acc_stderr\": 0.046355501356099754,\n \"acc_norm\": 0.6071428571428571,\n\ \ \"acc_norm_stderr\": 0.046355501356099754\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.0376017800602662,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.0376017800602662\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8974358974358975,\n\ \ \"acc_stderr\": 0.019875655027867457,\n \"acc_norm\": 0.8974358974358975,\n\ \ \"acc_norm_stderr\": 0.019875655027867457\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8876117496807152,\n\ \ \"acc_stderr\": 0.01129454135121655,\n \"acc_norm\": 0.8876117496807152,\n\ \ \"acc_norm_stderr\": 0.01129454135121655\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7658959537572254,\n \"acc_stderr\": 0.022797110278071128,\n\ \ \"acc_norm\": 0.7658959537572254,\n \"acc_norm_stderr\": 0.022797110278071128\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5027932960893855,\n\ \ \"acc_stderr\": 0.01672224059549172,\n \"acc_norm\": 0.5027932960893855,\n\ \ \"acc_norm_stderr\": 0.01672224059549172\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.761437908496732,\n \"acc_stderr\": 0.024404394928087873,\n\ \ \"acc_norm\": 0.761437908496732,\n \"acc_norm_stderr\": 0.024404394928087873\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7491961414790996,\n\ \ \"acc_stderr\": 0.024619771956697168,\n \"acc_norm\": 0.7491961414790996,\n\ \ \"acc_norm_stderr\": 0.024619771956697168\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8024691358024691,\n \"acc_stderr\": 0.02215288992789896,\n\ \ \"acc_norm\": 0.8024691358024691,\n \"acc_norm_stderr\": 0.02215288992789896\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5338983050847458,\n\ \ \"acc_stderr\": 0.012740853872949834,\n \"acc_norm\": 0.5338983050847458,\n\ \ \"acc_norm_stderr\": 0.012740853872949834\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940675,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940675\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.75,\n \"acc_stderr\": 0.01751781884501444,\n \"acc_norm\"\ : 0.75,\n \"acc_norm_stderr\": 0.01751781884501444\n },\n \"harness\|hendrycksTest-public_relations\|5\"\ : {\n \"acc\": 0.7181818181818181,\n \"acc_stderr\": 0.043091187099464585,\n\ \ \"acc_norm\": 0.7181818181818181,\n \"acc_norm_stderr\": 0.043091187099464585\n\ \ },\n \"harness\|hendrycksTest-security_studies\|5\": {\n \"acc\": 0.763265306122449,\n\ \ \"acc_stderr\": 0.02721283588407315,\n \"acc_norm\": 0.763265306122449,\n\ \ \"acc_norm_stderr\": 0.02721283588407315\n },\n \"harness\|hendrycksTest-sociology\|5\"\ : {\n \"acc\": 0.8706467661691543,\n \"acc_stderr\": 0.023729830881018512,\n\ \ \"acc_norm\": 0.8706467661691543,\n \"acc_norm_stderr\": 0.023729830881018512\n\ \ },\n \"harness\|hendrycksTest-us_foreign_policy\|5\": {\n \"acc\":\ \ 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \"acc_norm\": 0.87,\n\ \ \"acc_norm_stderr\": 0.03379976689896309\n },\n \"harness\|hendrycksTest-virology\|5\"\ : {\n \"acc\": 0.572289156626506,\n \"acc_stderr\": 0.038515976837185335,\n\ \ \"acc_norm\": 0.572289156626506,\n \"acc_norm_stderr\": 0.038515976837185335\n\ \ },\n \"harness\|hendrycksTest-world_religions\|5\": {\n \"acc\": 0.8421052631578947,\n\ \ \"acc_stderr\": 0.027966785859160886,\n \"acc_norm\": 0.8421052631578947,\n\ \ \"acc_norm_stderr\": 0.027966785859160886\n },\n \"harness\|truthfulqa:mc\|0\"\ : {\n \"mc1\": 0.4565483476132191,\n \"mc1_stderr\": 0.01743728095318369,\n\ \ \"mc2\": 0.6222123218100973,\n \"mc2_stderr\": 0.015308802289329178\n\ \ },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.7963693764798737,\n\ \ \"acc_stderr\": 0.011317798781626915\n },\n \"harness\|gsm8k\|5\":\ \ {\n \"acc\": 0.5329795299469295,\n \"acc_stderr\": 0.013742492794163425\n\ \ }\n}\n```" repo_url: https://huggingface.co/AA051610/A12P leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T06-57-37.769631.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|gsm8k\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hellaswag\|10_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-57-37.769631.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T06-57-37.769631.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '/details_harness\|winogrande\|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T06-57-37.769631.parquet' - config_name: results data_files: - split: 2023_12_12T06_57_37.769631 path: - results_2023-12-12T06-57-37.769631.parquet - split: latest path: - results_2023-12-12T06-57-37.769631.parquet --- # Dataset Card for Evaluation run of AA051610/A12P <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [AA051610/A12P](https://huggingface.co/AA051610/A12P) 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_AA051610__A12P", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:57:37.769631](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__A12P/blob/main/results_2023-12-12T06-57-37.769631.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": 0.6960316046766869, "acc_stderr": 0.030603322312658773, "acc_norm": 0.7008390046754603, "acc_norm_stderr": 0.031195836387238177, "mc1": 0.4565483476132191, "mc1_stderr": 0.01743728095318369, "mc2": 0.6222123218100973, "mc2_stderr": 0.015308802289329178 }, "harness\|arc:challenge\|25": { "acc": 0.6254266211604096, "acc_stderr": 0.014144193471893454, "acc_norm": 0.64419795221843, "acc_norm_stderr": 0.01399057113791876 }, "harness\|hellaswag\|10": { "acc": 0.6210914160525791, "acc_stderr": 0.004841238763529372, "acc_norm": 0.8232423819956184, "acc_norm_stderr": 0.0038068384481617415 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.04218506215368879, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.04218506215368879 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8355263157894737, "acc_stderr": 0.030167533468632723, "acc_norm": 0.8355263157894737, "acc_norm_stderr": 0.030167533468632723 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7320754716981132, "acc_stderr": 0.027257260322494845, "acc_norm": 0.7320754716981132, "acc_norm_stderr": 0.027257260322494845 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7847222222222222, "acc_stderr": 0.034370793441061344, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.034370793441061344 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.049888765156985884, "acc_norm": 0.44, "acc_norm_stderr": 0.049888765156985884 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237101, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237101 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6242774566473989, "acc_stderr": 0.036928207672648664, "acc_norm": 0.6242774566473989, "acc_norm_stderr": 0.036928207672648664 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.7319148936170212, "acc_stderr": 0.028957342788342343, "acc_norm": 0.7319148936170212, "acc_norm_stderr": 0.028957342788342343 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.7103448275862069, "acc_stderr": 0.03780019230438015, "acc_norm": 0.7103448275862069, "acc_norm_stderr": 0.03780019230438015 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.5714285714285714, "acc_stderr": 0.025487187147859375, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.025487187147859375 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.46825396825396826, "acc_stderr": 0.04463112720677171, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.04463112720677171 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8483870967741935, "acc_stderr": 0.02040261665441676, "acc_norm": 0.8483870967741935, "acc_norm_stderr": 0.02040261665441676 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162934, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162934 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8121212121212121, "acc_stderr": 0.03050193405942914, "acc_norm": 0.8121212121212121, "acc_norm_stderr": 0.03050193405942914 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8737373737373737, "acc_stderr": 0.023664359402880215, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.023664359402880215 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7410256410256411, "acc_stderr": 0.022211106810061665, "acc_norm": 0.7410256410256411, "acc_norm_stderr": 0.022211106810061665 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.8151260504201681, "acc_stderr": 0.025215992877954202, "acc_norm": 0.8151260504201681, "acc_norm_stderr": 0.025215992877954202 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.41721854304635764, "acc_stderr": 0.040261414976346104, "acc_norm": 0.41721854304635764, "acc_norm_stderr": 0.040261414976346104 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8642201834862385, "acc_stderr": 0.01468690755634002, "acc_norm": 0.8642201834862385, "acc_norm_stderr": 0.01468690755634002 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5601851851851852, "acc_stderr": 0.0338517797604481, "acc_norm": 0.5601851851851852, "acc_norm_stderr": 0.0338517797604481 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8627450980392157, "acc_stderr": 0.024152225962801588, "acc_norm": 0.8627450980392157, "acc_norm_stderr": 0.024152225962801588 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8776371308016878, "acc_stderr": 0.021331741829746793, "acc_norm": 0.8776371308016878, "acc_norm_stderr": 0.021331741829746793 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7668161434977578, "acc_stderr": 0.028380391147094706, "acc_norm": 0.7668161434977578, "acc_norm_stderr": 0.028380391147094706 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8625954198473282, "acc_stderr": 0.030194823996804475, "acc_norm": 0.8625954198473282, "acc_norm_stderr": 0.030194823996804475 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8347107438016529, "acc_stderr": 0.03390780612972776, "acc_norm": 0.8347107438016529, "acc_norm_stderr": 0.03390780612972776 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8159509202453987, "acc_stderr": 0.03044677768797174, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.03044677768797174 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.6071428571428571, "acc_stderr": 0.046355501356099754, "acc_norm": 0.6071428571428571, "acc_norm_stderr": 0.046355501356099754 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8252427184466019, "acc_stderr": 0.0376017800602662, "acc_norm": 0.8252427184466019, "acc_norm_stderr": 0.0376017800602662 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8974358974358975, "acc_stderr": 0.019875655027867457, "acc_norm": 0.8974358974358975, 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0.027966785859160886, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160886 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4565483476132191, "mc1_stderr": 0.01743728095318369, "mc2": 0.6222123218100973, "mc2_stderr": 0.015308802289329178 }, "harness\|winogrande\|5": { "acc": 0.7963693764798737, "acc_stderr": 0.011317798781626915 }, "harness\|gsm8k\|5": { "acc": 0.5329795299469295, "acc_stderr": 0.013742492794163425 } } ``` ## 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 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7611205577850342, -0.8642967343330383, 0.26099246740341187, 0.21320296823978424, -0.1365186721086502, -0.08613552153110504, 0.04151572287082672, -0.2361864447593689, 0.5955613255500793, -0.09327823668718338, -0.5023638010025024, -0.6749188899993896, -0.44646507501602173, 0.23710693418979645, -0.03197618946433067, 0.8086533546447754, -0.16101951897144318, 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hariharasudhan/dream	hariharasudhan	2023-12-12T07:14:36Z	0	[ "license:other", "region:us" ]	null	2023-12-12T07:14:36Z	--- license: other license_name: mine license_link: LICENSE ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, -0.08836933970451355, -0.2275441437959671, -0.45892030000686646, 0.42230701446533203, -0.3327735662460327, -0.4213368594646454, -0.26241639256477356, -0.07449351251125336, 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qgyd2021/few_shot_ner_sft	qgyd2021	2023-12-15T10:22:10Z	0	[ "license:apache-2.0", "arxiv:2004.01401", "arxiv:2204.12061", "region:us" ]	null	2023-12-12T07:23:11Z	--- license: apache-2.0 --- ## 小样本实体识别收集实体识别的数据集, 将其整理成 prompt-response 的形式. 基于语言模型的实体识别. 该数据集可用于: 1. 指令语言模型训练. 2. 数据集创建. (特定领域有少量标注数据时, 可与此数据集一起训练模型, 然后生成样本用于数据标注). 在 prompt 生成过程中会加入一些 `示例`, 我们尽量使各实体的标签满足 `n_way, n_shot`. [提示工程指南](https://www.promptingguide.ai/zh) ### 样本示例目前有三种实体标注的格式: * (1)句子重写. 比如 `"今天天气怎样"` 改写为 `"<date>今天</date>天气怎么"`. 这种方式的好处是能够从结果推断出实体的具体位置. * (2)json格式. 比如 `"今天天气怎样"` 输出 `{"entity_text": "今天", "entity_type": "date"}`. 这种方式输出的 json 字符串可能会有重复的. 因为句子中可能会有两个一样的实体. * (3)实体类型 - 实体原始字符串. 比如 `"今天天气怎样"` 输出 `date: 今天.`. 这种方式输出的实体, 每行文本以 `实体类型` 开始, 冒号 `:` 后面接实体原始字符串 `今天`. 如果 `实体原始字符串` 中有重复的, 目前会去重复. <details> <summary>cmeee_prompt</summary> <pre><code>实体识别.<br> 请你对句子进行重写并标注出其中包含的实体.<br> 实体有: - microbe - drug - procedure - item - disease<br> 示例: ------ text: （二）感染因素病原微生物能否引起肠道感染，取决于宿主防御功能的强弱、感染量的大小以及微生物毒力（黏附性、产毒性及侵袭性）、细胞毒性，其中微生物的黏附能力对于肠道感染至关重要。 rewrited: （二）<disease>感染</disease>因素<microbe>病原微生物</microbe>能否引起<disease>肠道感染</disease>，取决于宿主<item>防御功能</item>的强弱、<item>感染量</item>的大小以及<microbe>微生物</microbe>毒力（黏附性、产毒性及侵袭性）、细胞毒性，其中<microbe>微生物</microbe>的黏附能力对于<disease>肠道感染</disease>至关重要。 ------ text: （三）幽门螺杆菌阴性消化性溃疡的传统治疗在下述药物中，以H2</sub>受体阻滞剂应用最多，其机制为抑制组胺对壁细胞的泌酸作用，但对于胆碱能神经或胃泌素合并的餐后胃酸分泌影响较小。 rewrited: （三）<disease>幽门螺杆菌阴性消化性溃疡</disease>的<procedure>传统治疗</procedure>在下述药物中，以<drug>H2</sub>受体阻滞剂</drug>应用最多，其机制为抑制组胺对壁细胞的泌酸作用，但对于胆碱能神经或胃泌素合并的餐后胃酸分泌影响较小。 ------ text: 用本法显影受肾功能的影响很小，有人估计，只要残留肾功能在3%以上，本法即可勉强显影。 rewrited: </code></pre> </details> <details> <summary>cmeee_prompt</summary> <pre><code>请对句子进行重写以标注出其中的 “药剂”，“科室”，“发病症状” 实体。<br> 示例： ``` text：代谢性碱中毒的发生，可能与排钠钾性利尿剂的持续使用有关，造成肾小管对钠钾的重吸收障碍，同时利尿剂抑制了对氯离子的重吸收，则发生低氯性代谢性碱中毒。 rewrited：代谢性碱中毒的发生，可能与<药剂>排钠钾性利尿剂</药剂>的持续使用有关，造成肾小管对钠钾的重吸收障碍，同时<药剂>利尿剂</药剂>抑制了对氯离子的重吸收，则发生低氯性代谢性碱中毒。 ``` text：参考文献1.胡亚美，江载芳.诸福棠实用儿科学.第7版.北京：人民卫生出版社，20022.江载芳.实用小儿呼吸病学.北京：人民卫生出版社，2010：2253.中华医学会儿科分会呼吸学组.儿童侵袭性肺部真菌感染诊治指南（儿童侵袭性真菌感染州医学.2009，22（3）：183-1834.肖晶，周东风，孟浦.儿童侵袭性真菌感染早期诊断的研究进展.国际儿科学杂志，2009，36（5）：523-5235.KlontRR，MenninkKerstenMH，RuegebrinkW，etal.ParadoxicalincreaseincirculatingHspergillusantigenduringtreatmentwithcaspofungininapatientwithpulmonaryaspergillosis.ClinInfectDis，2006，43（3）：23-236.AgarwalR.Allergicbronchopulmonaryaspergillosis.Chest，2009，135：805-8267.ChabraSK，SahayandS，RamarajuK.Allergicbronchopulmonaryaspergillosiscomplicatingchildhoodasthma.IndianJPediatric，2009，76（3）：331-331 rewrited：参考文献1.胡亚美，江载芳.诸福棠实用<科室>儿科</科室>学.第7版.北京：人民卫生出版社，20022.江载芳.实用小儿呼吸病学.北京：人民卫生出版社，2010：2253.中华医学会<科室>儿科</科室>分会呼吸学组.儿童侵袭性肺部真菌感染诊治指南（儿童侵袭性真菌感染州医学.2009，22（3）：183-1834.肖晶，周东风，孟浦.儿童侵袭性真菌感染早期诊断的研究进展.国际<科室>儿科</科室>学杂志，2009，36（5）：523-5235.KlontRR，MenninkKerstenMH，RuegebrinkW，etal.ParadoxicalincreaseincirculatingHspergillusantigenduringtreatmentwithcaspofungininapatientwithpulmonaryaspergillosis.ClinInfectDis，2006，43（3）：23-236.AgarwalR.Allergicbronchopulmonaryaspergillosis.Chest，2009，135：805-8267.ChabraSK，SahayandS，RamarajuK.Allergicbronchopulmonaryaspergillosiscomplicatingchildhoodasthma.IndianJPediatric，2009，76（3）：331-331 ``` text：间接法则是在进行肾肾动态显像很少时，令受检者尽量憋住尿，然后用力排尿，在此过程中用γ相机快速照相，也可观察有无膀胱输尿管反流的存在和程度。 rewrited： </code></pre> </details> <details> <summary>ccks2019_task1_prompt</summary> <pre><code>识别医学方面的实体，如：实验室检验，药物，影像检查，疾病和诊断，解剖部位，手术等。<br> 示例： ------ raw_text：入院前14年患者检查发现血糖升高，血糖具体值不详，有口干、多饮、多尿等症状，伴四肢麻木，并有感觉异常，自觉肢体冰凉，伴视物模糊，于外院诊断为“2型糖尿病糖尿病周围神经病变糖尿病眼病”，后长期服用“格列美脲、伏格列波糖、罗格列酮”等降血糖，半年前于我科住院，出院后使用“来得时+阿卡波糖”降糖，但院外患者自行加用“格列美脲”降糖，偶有心慌冒汗症状。1+年前患者因活动后心累心悸，偶有干咳，感肢体麻木冰凉较明显，伴有腰部及上肢疼痛，自觉健忘症状加重，于我院内一科住院，查肾功：尿素 16.00 mmol/L、肌酐 141.7 μmol/l，诊断为“糖尿病肾病、原发性高血压3级极高危高血压性心脏病”，治疗后好转出院；半年前因腹泻于我科住院，检查肾功：尿素 19.79 mmol/L、肌酐 225.2 μmol/l及其他检查，诊断“1.2型糖尿病糖尿病周围神经病变糖尿病眼病糖尿病肾病糖尿病植物神经病变 2.原发性高血压3级很高危高血压性心脏病 3.重度骨质疏松 4、甲状腺功能减退 5、冠状动脉粥样硬化心脏病”，治疗后好转出院，出院后未定期随访复查，并自行停用相关药物。3+月前患者感活动及爬坡后心累、气促明显，稍休息后能好转，并出现头昏痛，无视物旋转，无耳鸣，无发热，无呕吐，无黑便等，在院外自行服药（具体药名不详），效果欠佳,今为求治疗，来我科要求住院治疗。以“2型糖尿病、糖尿病肾病”收入院。患者此次发病以来精神食欲一般，长期睡眠差，经常服用“安眠药”，大便正常，诉长期解小便色偏黄，尿量不详，体重无明显上降。 outputs：疾病和诊断：糖尿病植物神经病变；原发性高血压3级很高危；糖尿病肾病；高血压性心脏病；糖尿病眼病；冠状动脉粥样硬化心脏病；血糖升高；重度骨质疏松；糖尿病周围神经病变；腹泻；2型糖尿病；甲状腺功能减退；原发性高血压3级极高危。解剖部位：腰部；肢体；上肢；四肢；耳；心；头。药物：阿卡波糖；罗格列酮；伏格列波糖；来得时；格列美脲。实验室检验：尿素；肌酐。 ------ raw_text：，患者2年余前（2009.11）因“腹泻”就诊*******查肠镜提示升结肠癌，行升结肠癌根治术，手术及术后病理不详，术后行9个周期FOLFOX化疗，末次化疗2010.4结束。化疗后患者出现II度的神经毒性，主要表现为手足麻木明显。患者2011.1.6复查CT发现肝脏转移瘤，2011.1.12行肝转移瘤微波固化术，2011.2.22CT提示肝转移，两上肺转移瘤，2011.2.23再次行肝转移瘤微波固化术。2011.3.1起行FOLFIRI方案化疗8次，末次2011.7.28，总体疗效SD。此后患者停止化疗。2011-11-24，我院CT示：“，与2011-10-21片对比：两肺多发转移瘤较前增大；肝内多发病灶，较前明显增多、增大。腹腔干旁及肠系膜根部软组织影及结节灶，考虑淋巴结转移可能性大,较前明显。子宫直肠窝内多发结节，考虑种植转移可能性大。膀胱后壁结节状增厚，考虑转移瘤可能性大。右侧髂内外血管旁淋巴结，可疑转移。”于2011-11-25、12-9、12-27、2012-1-12行CPT-11+C225化疗4程。近来，患者自觉左中上腹疼痛，胃纳食欲不佳，大便干，血尿，伴尿频、尿痛，偶有尿失禁，近2天乏力明显，体重近期上降2KG。 outputs：解剖部位：右侧髂内外血管旁淋巴结；腹；肠；手；胃；腹腔干旁；足；左中上腹；肝；子宫直肠窝；膀胱。疾病和诊断：肝脏转移瘤；升结肠癌；两肺多发转移瘤；肝转移，两上肺转移瘤。手术：肝转移瘤微波固化术；升结肠癌根治术。影像检查：CT。药物：CPT-11；C225。 ------<br> 注意： 1. 每个实体类型占一行。 2. 实体类型起头，实体原始文本用 "；" 隔开。例如：entity_name：entity_text1；entity_text2。<br> text: ------ ，患者4个月前因“便秘2月余”入住我院消化内科，行胸、腹、，盆腔CT示：两肺上叶纤维灶，肝多发囊肿、肾囊肿，直肠壁增厚、符合直肠CA表现。为行手术治疗，转我科。完善相关术前检查后，于2016-02-15行直肠癌根治术，，术后病理：直肠腺癌（中低度分化），部分呈粘液腺癌图像，浸润溃疡型，体积6.55*0.6CM。侵达被膜。双端切线及另送“直肠近切线”、“直肠远切线”未查见癌。呈肠壁一站（2/11个）淋巴结癌转移。符合炎性增生性息肉。，免疫组化染色示：TS部分（+）、SYN（-）。术后给予补液，换药及对症支持治疗并口服希罗达行化学治疗。院外期间患者一般情况可，无发热，无腹痛腹胀胀不适，现患者为行复查及本周期化疗再次来我院就诊，门诊以“直肠术后”收住入院。患者自下次出院来，神志清，精神可，饮食尚可，大小便正常，体重无明显变化。 ------ output: </code></pre> </details> <details> <summary>ccks2019_task1_prompt</summary> <pre><code>实体识别。需要识别的实体类型有： “手术”，“解剖部位”。<br> 注意： - 识别到的实体必须以 json 格式输出。其中包括 key: text: 实体原始文本。label: 实体类型标签。 - 注意一定要生成合法的 json 字符串。 - 示例中的实体标注的可能不是很精确。<br> 示例： ``` text：缘于1+月前患者因“CINIII级”在我院行“LEEP”术，术后病理报告（2014.10.27）：(宫颈组织)宫颈粘膜慢性炎伴纳氏囊肿、糜烂，鳞状下皮CINIII级累及腺体，并伴局部区域微小浸润，宫颈管切端未见病变累及。建议行“残余子宫切除术”。遂今就诊我院，要求住院手术治疗，无阴道出血、异常排液，无发热、腹痛、腹胀、尿频、尿急等不适，故门诊拟“CINIII级”收入院。发病以来精神、睡眠、食欲尚可，大便如下述，小便正常，体重有明显减轻。 outputs： {"text": "“LEEP”术", "label": "手术"} {"text": "宫颈管", "label": "解剖部位"} {"text": "残余子宫切除术", "label": "手术"} {"text": "阴道", "label": "解剖部位"} {"text": "腹", "label": "解剖部位"} {"text": "腹", "label": "解剖部位"} ``` text：，患者2015-06因“无明显诱因出现大便带鲜血，量少，伴大便次数增加至2-3次/天5月”，外院肠镜检查提示乙状结肠距肛门18-20CM肿物，大小2×1CM，肠镜能通过，活检病理提示腺癌，大肠多发息肉。转诊我院2015-06-20在全麻上行DIXON术，，术后病理示：（乙状结肠大体）镜检为结肠中分化腺癌，浸润至肠壁浆膜上层，癌组织侵犯神经束，脉管内见癌栓；经多取材另见淋巴结2枚，未见癌。2（近切缘）未见癌。3（远切缘）未见癌。4（中央组淋巴结）1枚，未见癌。5（中间组淋巴结）2枚，1/2见腺癌转移。6（肠旁淋巴结）2枚，未见癌。，免疫组化：ER（-），ERCC1（+），MLH1（+），MSH2（+），MSH6（+），PMS2（+），KI67（70%+），分期PT3N1AM0,IIIB期。术顺，术后切口愈合佳。于2015-07-18、2015-08-07、2015-08-28行XELOX方案辅助化疗3程，过程顺利。3程化疗后于2015-09-17行胸片及彩超复查未见肿瘤复发转移征象。现患者为行上程化疗入院。近3周来，患者精神睡眠可，胃纳可，二便正常，体重无明显上降。 outputs： </code></pre> </details> <details> <summary>cluener2020_prompt</summary> <pre><code>实体识别。以新浪新闻进行细粒度命名实体标注，实体类型包括：government，organization 等。<br> 小样本示例： ``` raw_text：3月17日，发现客户信用卡被人冒名补办的银行方，向督院街派出所报了案。案侦民警立即开始调查取证， outputs： government：向督院街派出所。 ``` raw_text：坐在方向盘前的正是有24年驾龄的公交司机冉涌。据万州公安交巡警支队通报, outputs： government：万州公安交巡警支队。 ``` raw_text：金石开：从往绩来看，阿森纳对桑德兰拥有压倒性的优势，英超以来交手全部获胜。不过，上赛季枪手两战“ outputs： organization：枪手；英超；桑德兰；阿森纳。 ```<br> 请从以下文本中识别实体。<br> 注意： 1. 用实体类型起头，后接实体原始文本，用 "：" 隔开。例如：entity_type：entity_text1；entity_text2；...。 2. 每个实体类型占一行。 3. 不要输出其它的实体类型。<br> text： ``` 随后报警。警方调取银行录像，认出取钱者为周清来，并将其抓获。周清来交代，取走的6. ``` outputs： </code></pre> </details> <details> <summary>cluener2020_prompt</summary> <pre><code>实体识别。以新浪新闻进行细粒度命名实体标注，实体类型包括：government，organization 等。<br> 小样本示例： ``` raw_text：3月17日，发现客户信用卡被人冒名补办的银行方，向督院街派出所报了案。案侦民警立即开始调查取证， outputs： government：向督院街派出所。 ``` raw_text：坐在方向盘前的正是有24年驾龄的公交司机冉涌。据万州公安交巡警支队通报, outputs： government：万州公安交巡警支队。 ``` raw_text：金石开：从往绩来看，阿森纳对桑德兰拥有压倒性的优势，英超以来交手全部获胜。不过，上赛季枪手两战“ outputs： organization：枪手；英超；桑德兰；阿森纳。 ```<br> 请从以下文本中识别实体。<br> 注意： 1. 用实体类型起头，后接实体原始文本，用 "：" 隔开。例如：entity_type：entity_text1；entity_text2；...。 2. 每个实体类型占一行。 3. 不要输出其它的实体类型。<br> text： ``` 随后报警。警方调取银行录像，认出取钱者为周清来，并将其抓获。周清来交代，取走的6. ``` outputs： </code></pre> </details> <details> <summary>ecommerce_prompt</summary> <pre><code>从句子中识别出 “商品”，“型号” 实体，并以 json 格式输出。<br> 示例： ``` text：蜜蜂产品与保健,书籍,保养保健 outputs： {"entity_text": "书籍", "entity_type": "商品"} ``` text：时尚多款雨天防臭平底高筒雨鞋防水雨靴红蓝紫色单靴蓝色防滑胶鞋 outputs： {"entity_text": "雨鞋", "entity_type": "商品"} {"entity_text": "雨靴", "entity_type": "商品"} {"entity_text": "单靴", "entity_type": "商品"} {"entity_text": "胶鞋", "entity_type": "商品"} ``` text：足量,qd,mmc,plus卡,512m,内存卡,相机/老款手机,mmc,512m一体卡 outputs： {"entity_text": "qd", "entity_type": "型号"} {"entity_text": "mmc", "entity_type": "型号"} {"entity_text": "plus", "entity_type": "型号"} {"entity_text": "卡", "entity_type": "商品"} {"entity_text": "内存卡", "entity_type": "商品"} {"entity_text": "相机", "entity_type": "商品"} {"entity_text": "手机", "entity_type": "商品"} {"entity_text": "mmc", "entity_type": "型号"} {"entity_text": "512m", "entity_type": "型号"} {"entity_text": "一体卡", "entity_type": "商品"} ``` text：儿童披风秋冬新款男童女童斗篷宝宝披肩婴儿装棉呢子加厚外套风衣 outputs： </code></pre> </details> <details> <summary>ecommerce_prompt</summary> <pre><code>实体识别。<br> 请你对句子进行重写并标注出其中包含的实体：产品型号, 品牌, 产品, 其它实体。<br> 示例： ------ text：全新正品2脚放电管75v,2d075gdt,放电管2r075-8,防雷管2脚75v rewrited：全新正品2脚<产品>放电管</产品>75v,<产品型号>2d075gdt</产品型号>,<产品>放电管</产品><产品型号>2r075-8</产品型号>,<产品>防雷管</产品>2脚75v ------ text：标致5008后备箱垫七座专用5008汽车全包围尾箱垫标志5008内饰改装 rewrited：<品牌>标致</品牌><产品型号>5008</产品型号><产品>后备箱垫</产品>七座专用<产品型号>5008</产品型号><产品>汽车</产品>全包围<产品>尾箱垫</产品><品牌>标志</品牌><产品型号>5008</产品型号><产品>内饰</产品>改装 ------ text：桂林特产7度漓泉纯生啤酒330ml&times rewrited：<其它实体>桂林</其它实体><产品>特产</产品><其它实体>7度</其它实体><品牌>漓泉</品牌><产品>纯生啤酒</产品><其它实体>330ml</其它实体>&times ------ text：烤面筋 rewrited： <产品>烤面筋</产品> </code></pre> </details> <details> <summary>nlpcc2018_task4_prompt</summary> <pre><code>从句子中识别出 “Age”，“Destination”，“Singer”，“Style”，“Custom Destination”，“Instrument” 实体。<br> 示例： ``` text：放一首儿歌给我放一首儿歌 outputs： Age：儿歌。 ``` text：我想去中国人民保险 outputs： Destination：中国人民保险。 ``` text：导航去茌平 outputs： Destination：茌平。 ``` text：播放diddy outputs： Singer：diddy。 ``` text：想听齐秦齐豫的心经 outputs： Singer：齐豫；齐秦。 ``` text：播放酒吧摇滚音乐 outputs： Style：摇滚。 ``` text：串烧乐曲 outputs： Style：串烧。 ``` text：我要回家 outputs： Custom Destination：家。 ``` text：我要去公司 outputs： Custom Destination：公司。 ``` text：播放锁那 outputs： Instrument：锁那。 ``` text：萨克斯 outputs： Instrument：萨克斯。 ``` text：播放广东雨神的广东爱情故事 outputs： </code></pre> </details> <details> <summary>nlpcc2018_task4_prompt</summary> <pre><code>虚拟助手槽位提取。<br> 请你对句子进行重写并标注出其中包含的槽值。<br> 需要的槽值有：乐器名称，语言，年代。<br> 示例： ### text：古筝音乐 rewrited：<乐器名称>古筝</乐器名称>音乐 ### text：播放古筝 rewrited：播放<乐器名称>古筝</乐器名称> ### text：多放一点dj dj的中文歌曲 rewrited：多放一点dj dj的<语言>中文</语言>歌曲 ### text：播放藏族歌曲 rewrited：播放<语言>藏族</语言>歌曲 ### text：播放儿歌蓝皮鼠和大脸猫的主题曲 rewrited：播放<年代>儿歌</年代>蓝皮鼠和大脸猫的主题曲 ### text：播放儿童歌曲 rewrited：播放<年代>儿童</年代>歌曲 ### text：播放前小白的关灯与神 rewrited：播放前小白的关灯与神 </code></pre> </details> ### 数据来源 #### 汉语实体识别 \| 数据 \| 原始数据/项目地址 \| 样本个数 \| 实体类型 \| 原始数据描述 \| 替代数据下载地址 \| \| :--- \| :---: \| :---: \| :---: \| :---: \| :---: \| \| CMeEE \| [CBLUE](http://www.cips-chip.org.cn/2021/CBLUE); [天池下载](https://tianchi.aliyun.com/dataset/95414) \| 20000 \| 儿科疾病, 身体部位, 临床表现, 医疗程序, 等 9 大类医学实体 \| 医学实体识别任务 \| [nlhappy/CMeEE](https://huggingface.co/datasets/nlhappy/CMeEE) [Rosenberg/CMeEE-V2](https://huggingface.co/datasets/Rosenberg/CMeEE-V2) \| \| CCKS2019_task1 \| [Yidu-S4K](http://openkg.cn/dataset/yidu-s4k) \| 1379 \| 解剖部位, 手术, 疾病和诊断, 药物, 实验室检验, 影像检查 \| CCKS2019面向中文电子病历的命名实体识别数据集 \| \| \| CLUENER2020 \| [CLUE](https://www.cluebenchmarks.com/introduce.html); [CLUENER](https://storage.googleapis.com/cluebenchmark/tasks/cluener_public.zip) \| 12091 \| 游戏, 组织, 政府, 电影, 人名, 书籍, 公司, 场景, 职位, 地址 \| CLUENER2020数据集 \| \| \| MSRA \| [MSRA](https://www.msra.cn/) \| 48442 \| 地址, 组织, 人名 \| MSRA微软亚洲研究院开源命名实体识别数据集 \| [doushabao4766/msra_ner_k_V3_wc_bioes](https://huggingface.co/datasets/doushabao4766/msra_ner_k_V3_wc_bioes); [msra_ner](https://huggingface.co/datasets/msra_ner) \| \| NLPCC2018_task4 \| [NLPCC2018](http://tcci.ccf.org.cn/conference/2018/taskdata.php); [NLPCC2018_task4](http://tcci.ccf.org.cn/conference/2018/dldoc/trainingdata04.zip) \| 21352 \| 歌手, 歌曲, 主题, 情感, 风格, 目的地, 电话号码, 乐器, 聊系人, 年龄, 热门列表, 自定义目的地, 语种, 场景, 出发地 \| 任务型对话系统数据数据集 \| \| \| CCFBDCI \| [CCFBDCI填写申请表后可下载](https://www.datafountain.cn/competitions/510/datasets) \| 15723 \| LOC、GPE、ORG和PER \| 中文命名实体识别算法鲁棒性评测数据集 \| \| \| MMC \| [MMC](https://tianchi.aliyun.com/competition/entrance/231687/information) [MMC数据集](https://aistudio.baidu.com/datasetdetail/146995) \| 3498 \| 实体类型 \| 瑞金医院MMC人工智能辅助构建知识图谱大赛数据集 \| \| \| WeiBo \| [WeiBo](https://github.com/hltcoe/golden-horse/tree/master) \| 1890 \| LOC.NAM、LOC.NOM、PER.NAM、ORG.NOM、ORG.NAM、GPE.NAM和PER.NOM \| 社交媒体中文命名实体识别数据集 \| \| \| ECommerce \| [ECommerce](https://github.com/allanj/ner_incomplete_annotation/tree/master) \| 7998 \| MISC、XH、HPPX和HCCX \| 面向电商的命名实体识别数据集 \| \| \| YouKu \| [YouKu](https://github.com/allanj/ner_incomplete_annotation/tree/master) \| \| MISC、XH、HPPX和HCCX \| 面向电商的命名实体识别数据集 \| \| \| FinanceSina \| [FinanceSina](https://github.com/jiesutd/LatticeLSTM/tree/master) \| 1579 \| LOC、GPE、ORG和PER \| 新浪财经爬取中文命名实体识别数据集 \| \| \| Resume \| [Resume](https://github.com/jiesutd/LatticeLSTM/tree/master/ResumeNER) \| 4761 \| NAME、EDU、LOC、ORG、PRO、TITLE、CONT和RACE \| 中国股市上市公司高管的简历 \| \| \| Bank \| [Bank](https://www.heywhale.com/mw/dataset/617969ec768f3b0017862990/file) \| 10000 \| BANK、COMMENTS_ADJ、COMMENTS_N和PRODUCT \| 银行借贷数据数据集 \| \| \| DLNER \| [DLNER](https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset/tree/master) \| 28897 \| Location、Thing、Abstract、Organization、Metric、Time、Physical、Person和Term \| 语篇级命名实体识别数据集 \| \| \| people_daily \| [china-people-daily-ner](https://tianchi.aliyun.com/dataset/128270); [china-people-daily-ner-corpus.tar.gz](http://s3.bmio.net/kashgari/china-people-daily-ner-corpus.tar.gz) \| train: 20864; valid: 2318; test: 4636; \| LOC; ORG; PER; \| 1998人民日报序列标注; People's Daily(人民日报) dataset \| [xusenlin/people-daily-ner](https://huggingface.co/datasets/xusenlin/people-daily-ner); [peoples_daily_ner](https://huggingface.co/datasets/peoples_daily_ner); [Chinese-NLP-Corpus](https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily) \| #### 英语实体识别 \| 数据 \| 原始数据/项目地址 \| 样本个数 \| 实体类型 \| 原始数据描述 \| 替代数据下载地址 \| \| :--- \| :---: \| :---: \| :---: \| :---: \| :---: \| \| limit \| [LiMiT: The Literal Motion in Text Dataset](https://aclanthology.org/2020.findings-emnlp.88/) \| train: 23559; valid: 1000 \| 无实体类型 \| motion 识别是许多生命形式的基本认知能力之一，但在自然语言中识别物理实体的 motion 尚未得到广泛和实证的探索。\| [limit](https://huggingface.co/datasets/limit) \| \| conll2003 \| [CoNLL-2003](https://aclanthology.org/W03-0419/) \| train: 14K; valid: 3.25K; test: 3.45K \| PER, ORG, LOC, MISC \| CoNLL-2003 \| [conll2003](https://huggingface.co/datasets/conll2003); [conllpp](https://huggingface.co/datasets/conllpp) \| \| ncbi_disease \| [NCBI disease corpus](https://www.sciencedirect.com/science/article/pii/S1532046413001974?via%3Dihub) \| train: 5.43K; valid: 924; test: 941 \| Disease \| 该数据集包含 NCBI 疾病语料库的疾病名称和概念注释，该语料库包含 793 篇 PubMed 摘要，在提及和概念级别进行了完整注释，可作为生物医学自然语言处理社区的研究资源。 \| [ncbi_disease](https://huggingface.co/datasets/ncbi_disease) \| \| xglue \| [XGLUE](https://arxiv.org/abs/2004.01401); [XGLUE](https://microsoft.github.io/XGLUE/) \| \| \| XGLUE 是一个新的基准数据集，用于评估跨语言预训练模型在跨语言自然语言理解和生成方面的性能。 \| [xglue](https://huggingface.co/datasets/xglue) \| \| plod \| [PLOD](https://arxiv.org/abs/2204.12061); [PLOD-AbbreviationDetection](https://github.com/surrey-nlp/PLOD-AbbreviationDetection) \| train: 1.06M; test: 118K \| long; short; \| 从非结构化文本中检测和提取缩写有助于提高自然语言处理任务的性能，例如机器翻译和信息检索。 \| [batterydata/abbreviation_detection](https://huggingface.co/datasets/batterydata/abbreviation_detection) \| \| acronym_identification \| [Acronym Identification](https://sites.google.com/view/sdu-aaai21/shared-task); [AAAI-21-SDU-shared-task-1-AI](https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI) \| train: 14K; valid: 1.72K; test: 1.75K; \| long; short; \| SDU@AAAI-21 的首字母缩写词识别任务 \| [acronym_identification](https://huggingface.co/datasets/acronym_identification) \| \| bc2gm \| [bc2gm-corpus](https://github.com/spyysalo/bc2gm-corpus/raw/master/conll/); [Overview of BioCreative II gene mention recognition](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559986/) \| train: 12.5K; valid: 2.5K; test: 5K; \| 实体类型 \| 原始数据描述 \| [bc2gm_corpus](https://huggingface.co/datasets/bc2gm_corpus) \| #### 西班牙语实体识别 \| 数据 \| 原始数据/项目地址 \| 样本个数 \| 实体类型 \| 原始数据描述 \| 替代数据下载地址 \| \| :--- \| :---: \| :---: \| :---: \| :---: \| :---: \| \| ehealth_kd \| [eHealth-KD 2020](https://ceur-ws.org/Vol-2664/eHealth-KD_overview.pdf); [Testing data](https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data/testing) \| train: 800; valid: 199; test: 100 \| Concept, Action, Predicate, Reference \| IberLEF 2020 上 eHealth-KD 挑战赛的数据集。它旨在识别西班牙健康文档中的语义实体和关系。 \| [ehealth_kd](https://huggingface.co/datasets/ehealth_kd) \| ### 参考来源 <details> <summary>参考的数据来源,展开查看</summary> <pre><code> [ttxy/cn_ner](https://huggingface.co/datasets/ttxy/cn_ner) [xusenlin/clue-ner](https://huggingface.co/datasets/xusenlin/clue-ner) [xusenlin/people-daily-ner](https://huggingface.co/datasets/xusenlin/people-daily-ner) [peoples_daily_ner](https://huggingface.co/datasets/peoples_daily_ner) [weibo_ner](https://huggingface.co/datasets/weibo_ner) [Rosenberg/weibo_ner](https://huggingface.co/datasets/Rosenberg/weibo_ner) [OneFly/NER](https://huggingface.co/datasets/OneFly/NER) [djagatiya/ner-ontonotes-v5-eng-v4](https://huggingface.co/datasets/djagatiya/ner-ontonotes-v5-eng-v4) [Adapting/chinese_biomedical_NER_dataset](https://huggingface.co/datasets/Adapting/chinese_biomedical_NER_dataset) [nlhappy/CLUE-NER](https://huggingface.co/datasets/nlhappy/CLUE-NER) [ttxy/resume_ner](https://huggingface.co/datasets/ttxy/resume_ner) [doushabao4766/ccks_2019_ner_k_V3_wc](https://huggingface.co/datasets/doushabao4766/ccks_2019_ner_k_V3_wc) </code></pre> </details>	[ -0.6889175772666931, -0.6847984790802002, 0.3445029854774475, 0.37647420167922974, -0.5555905699729919, -0.263845831155777, -0.1402008980512619, -0.30104151368141174, 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open-llm-leaderboard/details_janhq__supermario-slerp-v2	open-llm-leaderboard	2023-12-12T07:24:03Z	0	[ "region:us" ]	null	2023-12-12T07:23:22Z	--- pretty_name: Evaluation run of janhq/supermario-slerp-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-slerp-v2](https://huggingface.co/janhq/supermario-slerp-v2)\ \ 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_janhq__supermario-slerp-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T07:20:29.210830](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp-v2/blob/main/results_2023-12-12T07-20-29.210830.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\": 0.6523192880412831,\n\ \ \"acc_stderr\": 0.031929152104876686,\n \"acc_norm\": 0.6535004820907845,\n\ \ \"acc_norm_stderr\": 0.03257318036897926,\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6295900737174474,\n\ \ \"mc2_stderr\": 0.015194573521166509\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6680887372013652,\n \"acc_stderr\": 0.01376098820088054,\n\ \ \"acc_norm\": 0.6936860068259386,\n \"acc_norm_stderr\": 0.013470584417276513\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6837283409679347,\n\ \ \"acc_stderr\": 0.004640699483543311,\n \"acc_norm\": 0.8659629555865366,\n\ \ \"acc_norm_stderr\": 0.003399958334372066\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7236842105263158,\n \"acc_stderr\": 0.03639057569952928,\n\ \ \"acc_norm\": 0.7236842105263158,\n \"acc_norm_stderr\": 0.03639057569952928\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.61,\n\ \ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.028254200344438662,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.028254200344438662\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_mathematics\|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_medicine\|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.048971049527263666,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.048971049527263666\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5872340425531914,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.5872340425531914,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n\ \ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7870967741935484,\n \"acc_stderr\": 0.023287665127268552,\n \"\ acc_norm\": 0.7870967741935484,\n \"acc_norm_stderr\": 0.023287665127268552\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n \"\ acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\ : 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\ \ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.676923076923077,\n \"acc_stderr\": 0.02371088850197057,\n \ \ \"acc_norm\": 0.676923076923077,\n \"acc_norm_stderr\": 0.02371088850197057\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.02857834836547308,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.02857834836547308\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8550458715596331,\n \"acc_stderr\": 0.015094215699700488,\n \"\ acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.015094215699700488\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.8578431372549019,\n \"acc_stderr\": 0.02450980392156861,\n\ \ \"acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.02450980392156861\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8270042194092827,\n \"acc_stderr\": 0.024621562866768427,\n \ \ \"acc_norm\": 0.8270042194092827,\n \"acc_norm_stderr\": 0.024621562866768427\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077802,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077802\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8365261813537676,\n\ \ \"acc_stderr\": 0.013223928616741624,\n \"acc_norm\": 0.8365261813537676,\n\ \ \"acc_norm_stderr\": 0.013223928616741624\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7167630057803468,\n \"acc_stderr\": 0.02425790170532338,\n\ \ \"acc_norm\": 0.7167630057803468,\n \"acc_norm_stderr\": 0.02425790170532338\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.41675977653631285,\n\ \ \"acc_stderr\": 0.016489134962438954,\n \"acc_norm\": 0.41675977653631285,\n\ \ \"acc_norm_stderr\": 0.016489134962438954\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818737,\n\ \ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818737\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7009646302250804,\n\ \ \"acc_stderr\": 0.026003301117885135,\n \"acc_norm\": 0.7009646302250804,\n\ \ \"acc_norm_stderr\": 0.026003301117885135\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \ \ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4595827900912647,\n\ \ \"acc_stderr\": 0.01272844606766997,\n \"acc_norm\": 0.4595827900912647,\n\ \ \"acc_norm_stderr\": 0.01272844606766997\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6683006535947712,\n \"acc_stderr\": 0.019047485239360378,\n \ \ \"acc_norm\": 0.6683006535947712,\n \"acc_norm_stderr\": 0.019047485239360378\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142783,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142783\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\ \ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6295900737174474,\n\ \ \"mc2_stderr\": 0.015194573521166509\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8082083662194159,\n \"acc_stderr\": 0.011065209664659527\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6345716451857468,\n \ \ \"acc_stderr\": 0.013264282030266635\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-slerp-v2 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|arc:challenge\|25_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T07-20-29.210830.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|gsm8k\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hellaswag\|10_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-20-29.210830.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T07-20-29.210830.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '/details_harness\|winogrande\|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T07-20-29.210830.parquet' - config_name: results data_files: - split: 2023_12_12T07_20_29.210830 path: - results_2023-12-12T07-20-29.210830.parquet - split: latest path: - results_2023-12-12T07-20-29.210830.parquet --- # Dataset Card for Evaluation run of janhq/supermario-slerp-v2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [janhq/supermario-slerp-v2](https://huggingface.co/janhq/supermario-slerp-v2) 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_janhq__supermario-slerp-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T07:20:29.210830](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp-v2/blob/main/results_2023-12-12T07-20-29.210830.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": 0.6523192880412831, "acc_stderr": 0.031929152104876686, "acc_norm": 0.6535004820907845, "acc_norm_stderr": 0.03257318036897926, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6295900737174474, "mc2_stderr": 0.015194573521166509 }, "harness\|arc:challenge\|25": { "acc": 0.6680887372013652, "acc_stderr": 0.01376098820088054, "acc_norm": 0.6936860068259386, "acc_norm_stderr": 0.013470584417276513 }, "harness\|hellaswag\|10": { "acc": 0.6837283409679347, "acc_stderr": 0.004640699483543311, "acc_norm": 0.8659629555865366, "acc_norm_stderr": 0.003399958334372066 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7236842105263158, "acc_stderr": 0.03639057569952928, "acc_norm": 0.7236842105263158, "acc_norm_stderr": 0.03639057569952928 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6981132075471698, "acc_stderr": 0.028254200344438662, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.028254200344438662 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5872340425531914, "acc_stderr": 0.03218471141400351, "acc_norm": 0.5872340425531914, "acc_norm_stderr": 0.03218471141400351 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5793103448275863, "acc_stderr": 0.0411391498118926, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.0411391498118926 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268552, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268552 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7878787878787878, "acc_stderr": 0.03192271569548301, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.03192271569548301 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.676923076923077, "acc_stderr": 0.02371088850197057, "acc_norm": 0.676923076923077, "acc_norm_stderr": 0.02371088850197057 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32592592592592595, "acc_stderr": 0.02857834836547308, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.02857834836547308 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.680672268907563, "acc_stderr": 0.030283995525884396, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.030283995525884396 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8550458715596331, "acc_stderr": 0.015094215699700488, "acc_norm": 0.8550458715596331, "acc_norm_stderr": 0.015094215699700488 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8578431372549019, "acc_stderr": 0.02450980392156861, "acc_norm": 0.8578431372549019, "acc_norm_stderr": 0.02450980392156861 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8270042194092827, "acc_stderr": 0.024621562866768427, "acc_norm": 0.8270042194092827, "acc_norm_stderr": 0.024621562866768427 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 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"acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8365261813537676, "acc_stderr": 0.013223928616741624, "acc_norm": 0.8365261813537676, "acc_norm_stderr": 0.013223928616741624 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7167630057803468, "acc_stderr": 0.02425790170532338, "acc_norm": 0.7167630057803468, "acc_norm_stderr": 0.02425790170532338 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.41675977653631285, "acc_stderr": 0.016489134962438954, "acc_norm": 0.41675977653631285, "acc_norm_stderr": 0.016489134962438954 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7189542483660131, "acc_stderr": 0.025738854797818737, "acc_norm": 0.7189542483660131, "acc_norm_stderr": 0.025738854797818737 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7009646302250804, "acc_stderr": 0.026003301117885135, "acc_norm": 0.7009646302250804, "acc_norm_stderr": 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"acc_norm": 0.8070175438596491, "acc_norm_stderr": 0.030267457554898458 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6295900737174474, "mc2_stderr": 0.015194573521166509 }, "harness\|winogrande\|5": { "acc": 0.8082083662194159, "acc_stderr": 0.011065209664659527 }, "harness\|gsm8k\|5": { "acc": 0.6345716451857468, "acc_stderr": 0.013264282030266635 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7451974749565125, -0.8162898421287537, 0.2613310217857361, 0.15819327533245087, -0.17871369421482086, -0.08891162276268005, 0.07939785718917847, -0.2247924506664276, 0.5991533994674683, -0.057490281760692596, -0.5248509049415588, -0.6621111631393433, -0.4173401892185211, 0.22083047032356262, -0.045819975435733795, 0.9102904796600342, -0.11894257366657257, 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mj96/dutch_golden_age	mj96	2023-12-12T07:25:15Z	0	[ "region:us" ]	null	2023-12-12T07:23:43Z	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 1399737.0 num_examples: 17 download_size: 1400981 dataset_size: 1399737.0 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, 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open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M	open-llm-leaderboard	2023-12-12T07:36:43Z	0	[ "region:us" ]	null	2023-12-12T07:36:01Z	--- pretty_name: Evaluation run of xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M](https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M)\ \ 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_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T07:34:24.161560](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M/blob/main/results_2023-12-12T07-34-24.161560.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\": 0.2574568669647554,\n\ \ \"acc_stderr\": 0.03077370055460631,\n \"acc_norm\": 0.258555233951132,\n\ \ \"acc_norm_stderr\": 0.031529415596877046,\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38841425251899087,\n\ \ \"mc2_stderr\": 0.014859033830490542\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.1945392491467577,\n \"acc_stderr\": 0.011567709174648728,\n\ \ \"acc_norm\": 0.24573378839590443,\n \"acc_norm_stderr\": 0.012581033453730113\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.2842063333997212,\n\ \ \"acc_stderr\": 0.004501137895230712,\n \"acc_norm\": 0.29426409081856203,\n\ \ \"acc_norm_stderr\": 0.00454779896412667\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.2518518518518518,\n\ \ \"acc_stderr\": 0.037498507091740234,\n \"acc_norm\": 0.2518518518518518,\n\ \ \"acc_norm_stderr\": 0.037498507091740234\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123398,\n\ \ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123398\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.22,\n\ \ \"acc_stderr\": 0.0416333199893227,\n \"acc_norm\": 0.22,\n \ \ \"acc_norm_stderr\": 0.0416333199893227\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.02461829819586651,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.02461829819586651\n },\n\ \ \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness\|hendrycksTest-college_chemistry\|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_computer_science\|5\": {\n \"acc\"\ : 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171453,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171453\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.15,\n \"acc_stderr\": 0.035887028128263734,\n \"acc_norm\": 0.15,\n\ \ \"acc_norm_stderr\": 0.035887028128263734\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.2765957446808511,\n \"acc_stderr\": 0.0292418838696288,\n\ \ \"acc_norm\": 0.2765957446808511,\n \"acc_norm_stderr\": 0.0292418838696288\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2719298245614035,\n\ \ \"acc_stderr\": 0.04185774424022056,\n \"acc_norm\": 0.2719298245614035,\n\ \ \"acc_norm_stderr\": 0.04185774424022056\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.33793103448275863,\n \"acc_stderr\": 0.039417076320648906,\n\ \ \"acc_norm\": 0.33793103448275863,\n \"acc_norm_stderr\": 0.039417076320648906\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.24867724867724866,\n \"acc_stderr\": 0.02226181769240019,\n \"\ acc_norm\": 0.24867724867724866,\n \"acc_norm_stderr\": 0.02226181769240019\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.18253968253968253,\n\ \ \"acc_stderr\": 0.03455071019102146,\n \"acc_norm\": 0.18253968253968253,\n\ \ \"acc_norm_stderr\": 0.03455071019102146\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.3064516129032258,\n \"acc_stderr\": 0.026226485652553883,\n \"\ acc_norm\": 0.3064516129032258,\n \"acc_norm_stderr\": 0.026226485652553883\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.2561576354679803,\n \"acc_stderr\": 0.030712730070982592,\n \"\ acc_norm\": 0.2561576354679803,\n \"acc_norm_stderr\": 0.030712730070982592\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.3434343434343434,\n \"acc_stderr\": 0.033832012232444426,\n \"\ acc_norm\": 0.3434343434343434,\n \"acc_norm_stderr\": 0.033832012232444426\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.37823834196891193,\n \"acc_stderr\": 0.034998072761933396,\n\ \ \"acc_norm\": 0.37823834196891193,\n \"acc_norm_stderr\": 0.034998072761933396\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.35128205128205126,\n \"acc_stderr\": 0.024203665177902803,\n\ \ \"acc_norm\": 0.35128205128205126,\n \"acc_norm_stderr\": 0.024203665177902803\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895991,\n \ \ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895991\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.24369747899159663,\n \"acc_stderr\": 0.027886828078380565,\n\ \ \"acc_norm\": 0.24369747899159663,\n \"acc_norm_stderr\": 0.027886828078380565\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\ acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.3211009174311927,\n \"acc_stderr\": 0.020018149772733744,\n \"\ acc_norm\": 0.3211009174311927,\n \"acc_norm_stderr\": 0.020018149772733744\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.2647058823529412,\n \"acc_stderr\": 0.03096451792692341,\n \"\ acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.03096451792692341\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.2320675105485232,\n \"acc_stderr\": 0.027479744550808514,\n \ \ \"acc_norm\": 0.2320675105485232,\n \"acc_norm_stderr\": 0.027479744550808514\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.23766816143497757,\n\ \ \"acc_stderr\": 0.02856807946471428,\n \"acc_norm\": 0.23766816143497757,\n\ \ \"acc_norm_stderr\": 0.02856807946471428\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\":\ \ 0.2892561983471074,\n \"acc_stderr\": 0.04139112727635464,\n \"\ acc_norm\": 0.2892561983471074,\n \"acc_norm_stderr\": 0.04139112727635464\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\": 0.26993865030674846,\n \"acc_stderr\": 0.034878251684978906,\n\ \ \"acc_norm\": 0.26993865030674846,\n \"acc_norm_stderr\": 0.034878251684978906\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.23214285714285715,\n\ \ \"acc_stderr\": 0.04007341809755806,\n \"acc_norm\": 0.23214285714285715,\n\ \ \"acc_norm_stderr\": 0.04007341809755806\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.23300970873786409,\n \"acc_stderr\": 0.041858325989283136,\n\ \ \"acc_norm\": 0.23300970873786409,\n \"acc_norm_stderr\": 0.041858325989283136\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.19230769230769232,\n\ \ \"acc_stderr\": 0.0258192332564837,\n \"acc_norm\": 0.19230769230769232,\n\ \ \"acc_norm_stderr\": 0.0258192332564837\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.2796934865900383,\n\ \ \"acc_stderr\": 0.016050792148036546,\n \"acc_norm\": 0.2796934865900383,\n\ \ \"acc_norm_stderr\": 0.016050792148036546\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.23410404624277456,\n \"acc_stderr\": 0.02279711027807114,\n\ \ \"acc_norm\": 0.23410404624277456,\n \"acc_norm_stderr\": 0.02279711027807114\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2424581005586592,\n\ \ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\ \ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.24183006535947713,\n \"acc_stderr\": 0.024518195641879334,\n\ \ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.024518195641879334\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.26366559485530544,\n\ \ \"acc_stderr\": 0.02502553850053234,\n \"acc_norm\": 0.26366559485530544,\n\ \ \"acc_norm_stderr\": 0.02502553850053234\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.023132376234543332,\n\ \ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.023132376234543332\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2801418439716312,\n \"acc_stderr\": 0.026789172351140245,\n \ \ \"acc_norm\": 0.2801418439716312,\n \"acc_norm_stderr\": 0.026789172351140245\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.23663624511082137,\n\ \ \"acc_stderr\": 0.010855137351572735,\n \"acc_norm\": 0.23663624511082137,\n\ \ \"acc_norm_stderr\": 0.010855137351572735\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.4338235294117647,\n \"acc_stderr\": 0.030105636570016643,\n\ \ \"acc_norm\": 0.4338235294117647,\n \"acc_norm_stderr\": 0.030105636570016643\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2647058823529412,\n \"acc_stderr\": 0.017848089574913226,\n \ \ \"acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.017848089574913226\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.17272727272727273,\n\ \ \"acc_stderr\": 0.0362069183392922,\n \"acc_norm\": 0.17272727272727273,\n\ \ \"acc_norm_stderr\": 0.0362069183392922\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.2163265306122449,\n \"acc_stderr\": 0.026358916334904035,\n\ \ \"acc_norm\": 0.2163265306122449,\n \"acc_norm_stderr\": 0.026358916334904035\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.23880597014925373,\n\ \ \"acc_stderr\": 0.030147775935409217,\n \"acc_norm\": 0.23880597014925373,\n\ \ \"acc_norm_stderr\": 0.030147775935409217\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909281,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909281\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.1927710843373494,\n\ \ \"acc_stderr\": 0.03070982405056527,\n \"acc_norm\": 0.1927710843373494,\n\ \ \"acc_norm_stderr\": 0.03070982405056527\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.23976608187134502,\n \"acc_stderr\": 0.03274485211946956,\n\ \ \"acc_norm\": 0.23976608187134502,\n \"acc_norm_stderr\": 0.03274485211946956\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38841425251899087,\n\ \ \"mc2_stderr\": 0.014859033830490542\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.49013417521704816,\n \"acc_stderr\": 0.014049749833367589\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.02122820318423048,\n \ \ \"acc_stderr\": 0.003970449129848635\n }\n}\n```" repo_url: https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|arc:challenge\|25_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T07-34-24.161560.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|gsm8k\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hellaswag\|10_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-34-24.161560.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T07-34-24.161560.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '/details_harness\|winogrande\|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T07-34-24.161560.parquet' - config_name: results data_files: - split: 2023_12_12T07_34_24.161560 path: - results_2023-12-12T07-34-24.161560.parquet - split: latest path: - results_2023-12-12T07-34-24.161560.parquet --- # Dataset Card for Evaluation run of xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M](https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M) 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_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T07:34:24.161560](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M/blob/main/results_2023-12-12T07-34-24.161560.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": 0.2574568669647554, "acc_stderr": 0.03077370055460631, "acc_norm": 0.258555233951132, "acc_norm_stderr": 0.031529415596877046, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38841425251899087, "mc2_stderr": 0.014859033830490542 }, "harness\|arc:challenge\|25": { "acc": 0.1945392491467577, "acc_stderr": 0.011567709174648728, "acc_norm": 0.24573378839590443, "acc_norm_stderr": 0.012581033453730113 }, "harness\|hellaswag\|10": { "acc": 0.2842063333997212, "acc_stderr": 0.004501137895230712, "acc_norm": 0.29426409081856203, "acc_norm_stderr": 0.00454779896412667 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.2518518518518518, "acc_stderr": 0.037498507091740234, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.037498507091740234 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2, "acc_stderr": 0.02461829819586651, "acc_norm": 0.2, "acc_norm_stderr": 0.02461829819586651 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788992, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788992 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171453, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171453 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.15, "acc_stderr": 0.035887028128263734, "acc_norm": 0.15, "acc_norm_stderr": 0.035887028128263734 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.2765957446808511, "acc_stderr": 0.0292418838696288, "acc_norm": 0.2765957446808511, "acc_norm_stderr": 0.0292418838696288 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2719298245614035, "acc_stderr": 0.04185774424022056, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.04185774424022056 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.33793103448275863, "acc_stderr": 0.039417076320648906, "acc_norm": 0.33793103448275863, "acc_norm_stderr": 0.039417076320648906 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.24867724867724866, "acc_stderr": 0.02226181769240019, "acc_norm": 0.24867724867724866, "acc_norm_stderr": 0.02226181769240019 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.18253968253968253, "acc_stderr": 0.03455071019102146, "acc_norm": 0.18253968253968253, "acc_norm_stderr": 0.03455071019102146 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.3064516129032258, "acc_stderr": 0.026226485652553883, "acc_norm": 0.3064516129032258, "acc_norm_stderr": 0.026226485652553883 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2561576354679803, "acc_stderr": 0.030712730070982592, "acc_norm": 0.2561576354679803, "acc_norm_stderr": 0.030712730070982592 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.3434343434343434, "acc_stderr": 0.033832012232444426, "acc_norm": 0.3434343434343434, "acc_norm_stderr": 0.033832012232444426 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.37823834196891193, "acc_stderr": 0.034998072761933396, "acc_norm": 0.37823834196891193, "acc_norm_stderr": 0.034998072761933396 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.35128205128205126, "acc_stderr": 0.024203665177902803, "acc_norm": 0.35128205128205126, "acc_norm_stderr": 0.024203665177902803 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895991, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.02646611753895991 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.24369747899159663, "acc_stderr": 0.027886828078380565, "acc_norm": 0.24369747899159663, "acc_norm_stderr": 0.027886828078380565 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2980132450331126, "acc_stderr": 0.037345356767871984, "acc_norm": 0.2980132450331126, "acc_norm_stderr": 0.037345356767871984 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.3211009174311927, "acc_stderr": 0.020018149772733744, "acc_norm": 0.3211009174311927, "acc_norm_stderr": 0.020018149772733744 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.2647058823529412, "acc_stderr": 0.03096451792692341, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.03096451792692341 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.2320675105485232, "acc_stderr": 0.027479744550808514, "acc_norm": 0.2320675105485232, "acc_norm_stderr": 0.027479744550808514 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.23766816143497757, "acc_stderr": 0.02856807946471428, "acc_norm": 0.23766816143497757, "acc_norm_stderr": 0.02856807946471428 }, "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": 0.2892561983471074, "acc_stderr": 0.04139112727635464, "acc_norm": 0.2892561983471074, "acc_norm_stderr": 0.04139112727635464 }, "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": 0.26993865030674846, "acc_stderr": 0.034878251684978906, "acc_norm": 0.26993865030674846, "acc_norm_stderr": 0.034878251684978906 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.23214285714285715, "acc_stderr": 0.04007341809755806, "acc_norm": 0.23214285714285715, "acc_norm_stderr": 0.04007341809755806 }, "harness\|hendrycksTest-management\|5": { "acc": 0.23300970873786409, "acc_stderr": 0.041858325989283136, "acc_norm": 0.23300970873786409, "acc_norm_stderr": 0.041858325989283136 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.19230769230769232, "acc_stderr": 0.0258192332564837, "acc_norm": 0.19230769230769232, "acc_norm_stderr": 0.0258192332564837 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.2796934865900383, "acc_stderr": 0.016050792148036546, "acc_norm": 0.2796934865900383, "acc_norm_stderr": 0.016050792148036546 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.23410404624277456, "acc_stderr": 0.02279711027807114, "acc_norm": 0.23410404624277456, "acc_norm_stderr": 0.02279711027807114 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2424581005586592, "acc_stderr": 0.014333522059217889, "acc_norm": 0.2424581005586592, "acc_norm_stderr": 0.014333522059217889 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.24183006535947713, "acc_stderr": 0.024518195641879334, "acc_norm": 0.24183006535947713, "acc_norm_stderr": 0.024518195641879334 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.26366559485530544, "acc_stderr": 0.02502553850053234, "acc_norm": 0.26366559485530544, "acc_norm_stderr": 0.02502553850053234 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.2222222222222222, "acc_stderr": 0.023132376234543332, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.023132376234543332 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2801418439716312, "acc_stderr": 0.026789172351140245, "acc_norm": 0.2801418439716312, "acc_norm_stderr": 0.026789172351140245 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.23663624511082137, "acc_stderr": 0.010855137351572735, "acc_norm": 0.23663624511082137, "acc_norm_stderr": 0.010855137351572735 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.4338235294117647, "acc_stderr": 0.030105636570016643, "acc_norm": 0.4338235294117647, "acc_norm_stderr": 0.030105636570016643 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2647058823529412, "acc_stderr": 0.017848089574913226, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.017848089574913226 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.17272727272727273, "acc_stderr": 0.0362069183392922, "acc_norm": 0.17272727272727273, "acc_norm_stderr": 0.0362069183392922 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.2163265306122449, "acc_stderr": 0.026358916334904035, "acc_norm": 0.2163265306122449, "acc_norm_stderr": 0.026358916334904035 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.23880597014925373, "acc_stderr": 0.030147775935409217, "acc_norm": 0.23880597014925373, "acc_norm_stderr": 0.030147775935409217 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909281, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909281 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.1927710843373494, "acc_stderr": 0.03070982405056527, "acc_norm": 0.1927710843373494, "acc_norm_stderr": 0.03070982405056527 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.23976608187134502, "acc_stderr": 0.03274485211946956, "acc_norm": 0.23976608187134502, "acc_norm_stderr": 0.03274485211946956 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38841425251899087, "mc2_stderr": 0.014859033830490542 }, "harness\|winogrande\|5": { "acc": 0.49013417521704816, "acc_stderr": 0.014049749833367589 }, "harness\|gsm8k\|5": { "acc": 0.02122820318423048, "acc_stderr": 0.003970449129848635 } } ``` ## 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 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7252860069274902, -0.8165600895881653, 0.2678661048412323, 0.17111167311668396, -0.14260345697402954, -0.04898994415998459, 0.021437734365463257, -0.19960421323776245, 0.6012212038040161, -0.07110486924648285, -0.5244840979576111, -0.664159893989563, -0.4192824363708496, 0.18844731152057648, -0.02375338040292263, 0.8688281774520874, -0.18192510306835175, 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5roop/ParlaSpeech-HR	5roop	2023-12-12T14:16:58Z	0	[ "region:us" ]	null	2023-12-12T07:38:51Z	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: dev path: data/dev-* dataset_info: features: - name: audio dtype: audio - name: transcript dtype: string - name: norm_transcript dtype: string - name: utterance_id_start dtype: string - name: utterance_id_end dtype: string - name: split dtype: string - name: Speaker_role dtype: string - name: Speaker_type dtype: string - name: Speaker_party dtype: string - name: Speaker_party_name dtype: string - name: Party_status dtype: string - name: Speaker_name dtype: string - name: Speaker_gender dtype: string - name: Speaker_birth dtype: string splits: - name: train num_bytes: 131437814281.216 num_examples: 402912 - name: test num_bytes: 173387757.0 num_examples: 513 - name: dev num_bytes: 163546294.0 num_examples: 500 download_size: 125983454130 dataset_size: 131774748332.216 --- # Dataset Card for "ParlaSpeech-HR" Mirror of http://hdl.handle.net/11356/1494 . The ParlaSpeech-HR dataset is built from parliamentary proceedings available in the Croatian part of the ParlaMint corpus and the parliamentary recordings available from the Croatian Parliament's YouTube channel. The corpus consists of segments 8-20 seconds in length. There are two transcripts available: the original one, and the one normalised via a simple rule-based normaliser. Each of the transcripts contains word-level alignments to the recordings. Each segment has a reference to the ParlaMint 2.1 corpus (http://hdl.handle.net/11356/1432) via utterance IDs. If a segment is based on a single utterance, speaker information for that segment is available as well. There is speaker information available for 381,849 segments, i.e., 95% of all segments. Speaker information consists of all the speaker information available from the ParlaMint 2.1 corpus (name, party, gender, age, status, role). There are all together 309 speakers in the dataset. The dataset is divided into a training, a development, and a testing subset. Development data consist of 500 segments coming from the 5 most frequent speakers, with the goal of not losing speaker variety on dev data. Test data consist of 513 segments that come from 3 male (258 segments) and 3 female speakers (255 segments). There are no segments coming from the 6 test speakers in the two remaining subsets. The 22,076 instances not having speaker information are not assigned to any of the three subsets. The remaining 380,836 instances form the training set. Please cite as ``` @misc{11356/1494, title = {{ASR} training dataset for Croatian {ParlaSpeech}-{HR} v1.0}, author = {Ljube{\v s}i{\'c}, Nikola and Kor{\v z}inek, Danijel and Rupnik, Peter and Jazbec, Ivo-Pavao and Batanovi{\'c}, Vuk and Baj{\v c}eti{\'c}, Lenka and Evkoski, Bojan}, url = {http://hdl.handle.net/11356/1494}, note = {Slovenian language resource repository {CLARIN}.{SI}}, copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)}, issn = {2820-4042}, year = {2022} } ```	[ -0.18439576029777527, -0.4927058517932892, 0.08078455924987793, 0.3875292241573334, -0.3248738646507263, -0.18736612796783447, -0.4497716426849365, 0.05684463307261467, 0.27018457651138306, 0.5059790015220642, -0.5438494086265564, -0.49876993894577026, -0.49509650468826294, 0.18152505159378052, -0.2693179249763489, 0.9693053364753723, 0.2152034342288971, 0.5169352293014526, -0.1468401700258255, -0.36569085717201233, -0.5054546594619751, -0.5030127167701721, 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zhzhang93/test	zhzhang93	2023-12-12T09:43:55Z	0	[ "license:mit", "region:us" ]	null	2023-12-12T07:54:35Z	--- license: mit ---	[ -0.12853394448757172, -0.1861674040555954, 0.6529132127761841, 0.49436259269714355, -0.19319306313991547, 0.2360745519399643, 0.36071985960006714, 0.050563570111989975, 0.5793654918670654, 0.7400139570236206, -0.6508103013038635, -0.23783987760543823, -0.7102250456809998, -0.04782596975564957, -0.3894755244255066, 0.8470767140388489, -0.09598255157470703, 0.024004653096199036, 0.0471201092004776, -0.14317835867404938, -0.6121037006378174, -0.04771704971790314, -1.0524539947509766, -0.06787478178739548, 0.3002283573150635, 0.5120974779129028, 0.8275898694992065, 0.3960292637348175, 0.5030567646026611, 1.7515560388565063, -0.08836938440799713, -0.22754421830177307, -0.4589204788208008, 0.4223071336746216, -0.33277344703674316, -0.42133694887161255, -0.26241636276245117, -0.0744936615228653, 0.3238040804862976, 0.7903714776039124, -0.38104134798049927, 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zhiqiulin/CLIP-FlanT5	zhiqiulin	2023-12-12T09:19:08Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T08:26:29Z	--- license: apache-2.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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jackcipher/baijiayun	jackcipher	2023-12-12T08:57:53Z	0	[ "region:us" ]	null	2023-12-12T08:57:30Z	--- dataset_info: features: - name: title dtype: string - name: body dtype: string splits: - name: train num_bytes: 61839024 num_examples: 4285 download_size: 12712589 dataset_size: 61839024 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, 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tigerbhai/Texmin_Dataset_Update	tigerbhai	2023-12-12T08:59:10Z	0	[ "region:us" ]	null	2023-12-12T08:59:09Z	--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 48606 num_examples: 100 download_size: 24177 dataset_size: 48606 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.12853394448757172, -0.18616753816604614, 0.6529128551483154, 0.4943627119064331, -0.19319315254688263, 0.2360745221376419, 0.3607199192047119, 0.050563275814056396, 0.5793652534484863, 0.740013837814331, -0.6508102416992188, -0.23783978819847107, -0.7102248668670654, -0.04782577604055405, -0.38947510719299316, 0.8470762968063354, -0.09598258137702942, 0.024004854261875153, 0.04712028056383133, -0.1431782841682434, -0.612104058265686, -0.047717541456222534, -1.0524537563323975, -0.06787501275539398, 0.30022817850112915, 0.5120975375175476, 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lorinma/IE_Sharegpt_zh	lorinma	2023-12-12T09:49:22Z	0	[ "language:zh", "arxiv:2305.11527", "region:us" ]	null	2023-12-12T09:06:51Z	--- language: - zh --- 信息抽取的数据源来源于CoNLL ACE casis DuEE People Daily DuIE等数据集来源于 [InstructIE: A Chinese Instruction-based Information Extraction Dataset] (https://arxiv.org/abs/2305.11527)，感谢浙江大学[Cama组](https://github.com/zjunlp/KnowLM)的高质量工作！(btw我还是更喜欢你们老的cama这个名字虽然数据集都是单轮的，将格式改为Sharegpt的多轮对话形式可以和其他的多轮对话数据集兼容	[ -0.28449535369873047, -0.8715349435806274, 0.00997896958142519, 0.4496444761753082, -0.5052767992019653, -0.24405503273010254, 0.2509331703186035, -0.5268627405166626, 0.1879797875881195, 0.22528326511383057, -0.4167912006378174, -0.6244176030158997, -0.534485399723053, -0.33969488739967346, -0.07247233390808105, 0.9372059106826782, -0.15917211771011353, 0.7072001099586487, 0.3378812074661255, -0.12428074330091476, -0.9152296185493469, -0.3267720639705658, -1.11459219455719, 0.22979885339736938, 0.12523764371871948, 0.41509443521499634, 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jiangdaniel/pokeman	jiangdaniel	2023-12-12T09:08:22Z	0	[ "region:us" ]	null	2023-12-12T09:08:21Z	--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 5590698.0 num_examples: 5 download_size: 5592192 dataset_size: 5590698.0 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.12853389978408813, -0.18616773188114166, 0.6529126167297363, 0.49436259269714355, -0.19319310784339905, 0.2360745072364807, 0.36071985960006714, 0.050563156604766846, 0.579365611076355, 0.7400138974189758, -0.6508100628852844, -0.23783960938453674, -0.7102248072624207, -0.04782594367861748, -0.38947513699531555, 0.8470762372016907, -0.09598279744386673, 0.02400519698858261, 0.04712005704641342, -0.14317844808101654, -0.6121039390563965, -0.04771699011325836, -1.0524537563323975, -0.06787476688623428, 0.3002280294895172, 0.5120972990989685, 0.8275895118713379, 0.3960295021533966, 0.5030564069747925, 1.7515560388565063, -0.08836917579174042, 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hlt-lab/dialogsumsample-expansions	hlt-lab	2023-12-12T09:12:03Z	0	[ "region:us" ]	null	2023-12-12T09:12:00Z	--- dataset_info: features: - name: context dtype: string - name: response dtype: string - name: reference dtype: string splits: - name: train num_bytes: 16980 num_examples: 17 download_size: 17746 dataset_size: 16980 --- # Dataset Card for "dialogsumsample-expansions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6085003018379211, -0.2946337163448334, 0.1265389621257782, 0.04705466702580452, -0.08270227164030075, 0.05320807918906212, 0.1744145005941391, -0.18345078825950623, 0.631943941116333, 0.6793453693389893, -1.0078014135360718, -0.5396101474761963, -0.5623043179512024, -0.24507571756839752, -0.011516442522406578, 1.1462773084640503, 0.21889199316501617, 0.04189580678939819, -0.53118896484375, -0.13047471642494202, -0.7227339744567871, -0.46110644936561584, -0.3493405878543854, 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hlt-lab/xsumsample-expansions	hlt-lab	2023-12-12T09:12:06Z	0	[ "region:us" ]	null	2023-12-12T09:12:03Z	--- dataset_info: features: - name: context dtype: 'null' - name: response dtype: 'null' - name: reference dtype: 'null' - name: __index_level_0__ dtype: 'null' splits: - name: train download_size: 1181 dataset_size: 0 --- # Dataset Card for "xsumsample-expansions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6064363718032837, 0.20343060791492462, 0.14218619465827942, 0.11168326437473297, -0.19821059703826904, 0.1767081916332245, 0.17513668537139893, -0.27238839864730835, 0.9176541566848755, 0.5423887372016907, -0.912134051322937, -0.6272093653678894, -0.8142904043197632, -0.28796762228012085, -0.39839065074920654, 1.1747139692306519, 0.08889864385128021, -0.024272039532661438, -0.5610248446464539, -0.1986079216003418, -0.37540850043296814, -0.473473459482193, -0.4879450798034668, 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lorinma/ChineseCasualConversations	lorinma	2023-12-12T09:47:23Z	1	[ "task_categories:conversational", "task_categories:text-generation", "size_categories:1K<n<10K", "language:zh", "region:us" ]	[ "conversational", "text-generation" ]	2023-12-12T09:27:46Z	--- language: - zh task_categories: - conversational - text-generation size_categories: - 1K<n<10K --- 在LLM横行的今天，大家都在讲究SFT数据质量。相比于各种一板一眼的AI回复，又是step by step又是detailed reasoning，这种非常casual的对话显得那么的独特，更适合用作情感陪伴闲聊机器人的目的。本项目提供了一个大规模中文对话数据集，原始数据来自于清华大学的[LCCC(Large-scale Cleaned Chinese Conversation)数据集](https://github.com/thu-coai/CDial-GPT) 基于LCCC-large，但因为有1200万。故使用bert-base-chinese转换为embedding，且使用类knn的方法抽取了1万条。并转换成了sharegpt格式。从实用的角度来说，因为对话都只有两句，需要通过GPT进行续写。但是实测发现openai系列的太严肃了，失去了casual的味道。浅测了一下文心一言可以续写这种闲聊对话。只是测试了一下，并没有放在这个数据集中。当然了，最好的还是收集真实世界的对话。	[ -0.5016483068466187, -1.355286955833435, 0.6214526891708374, 0.2912242114543915, -0.6239410638809204, -0.1833345592021942, -0.3616116940975189, -0.23177103698253632, 0.08360708504915237, 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harshithvh/alpaca_format1	harshithvh	2023-12-12T09:52:26Z	0	[ "region:us" ]	null	2023-12-12T09:50:39Z	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 412117 num_examples: 251 download_size: 88777 dataset_size: 412117 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, 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krishnareddy/ner_samples	krishnareddy	2023-12-12T14:23:55Z	0	[ "task_categories:token-classification", "size_categories:10K<n<100K", "language:en", "license:mit", "medical", "region:us" ]	[ "token-classification" ]	2023-12-12T10:01:44Z	--- license: mit task_categories: - token-classification language: - en tags: - medical pretty_name: ner dataset format size_categories: - 10K<n<100K --- This is a sample repository to upload data files related to NER task	[ -0.1938648670911789, -0.2076127678155899, 0.4448404312133789, 0.016435327008366585, 0.2658050060272217, -0.3292818069458008, 0.2958067059516907, 0.19589480757713318, 0.5244826078414917, 0.9356051087379456, -0.8967126607894897, -0.36896246671676636, -0.269998162984848, 0.17493054270744324, -0.7633615732192993, 1.0858484506607056, -0.017898937687277794, -0.039892520755529404, -0.06937333941459656, -0.054882973432540894, -0.8112484216690063, -0.43307438492774963, -0.907746434211731, -0.2841642498970032, 0.3373500406742096, 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kristmh/test_low_vs_random	kristmh	2023-12-12T10:13:58Z	0	[ "region:us" ]	null	2023-12-12T10:13:54Z	--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 9858380 num_examples: 12901 download_size: 4951220 dataset_size: 9858380 --- # Dataset Card for "test_low_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.638346791267395, -0.5787783861160278, 0.03274768963456154, 0.10841315984725952, -0.09814417362213135, -0.17036579549312592, 0.06797140836715698, -0.16905716061592102, 0.7552273273468018, 0.1956942081451416, -0.7638030052185059, -0.6996521949768066, -0.5780819058418274, -0.2360745370388031, -0.36293596029281616, 1.3522565364837646, 0.08711697906255722, 0.25403958559036255, 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kristmh/test_med_vs_high_low_priority	kristmh	2023-12-12T10:35:41Z	0	[ "region:us" ]	null	2023-12-12T10:35:37Z	--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 10457122 num_examples: 14910 download_size: 5259039 dataset_size: 10457122 --- # Dataset Card for "test_med_vs_high_low_priority" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.5491340160369873, -0.4309239089488983, 0.24360151588916779, 0.19230687618255615, 0.1329524666070938, -0.07715790718793869, 0.059661585837602615, -0.12672320008277893, 0.819819986820221, 0.4871557354927063, -0.6665216088294983, -0.6722685098648071, -0.8275274038314819, -0.21431799232959747, 0.04637729749083519, 1.466988205909729, -0.032980769872665405, 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kristmh/test_med_vs_random	kristmh	2023-12-12T10:36:19Z	0	[ "region:us" ]	null	2023-12-12T10:36:16Z	--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 11937780 num_examples: 14520 download_size: 5828155 dataset_size: 11937780 --- # Dataset Card for "test_med_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.445966899394989, -0.3781857490539551, 0.2814311683177948, 0.09294445812702179, -0.14689575135707855, -0.12208375334739685, 0.12548352777957916, -0.14943499863147736, 0.8129713535308838, 0.35467958450317383, -0.8258693218231201, -0.6746315360069275, -0.5588653087615967, -0.1333170086145401, -0.21472743153572083, 1.460350513458252, -0.00011793430894613266, 0.6845810413360596, 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kristmh/med_vs_random	kristmh	2023-12-12T10:37:27Z	0	[ "region:us" ]	null	2023-12-12T10:36:45Z	--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 22779409 num_examples: 27588 - name: train num_bytes: 186338721 num_examples: 220698 - name: validate num_bytes: 22863797 num_examples: 27587 download_size: 113918121 dataset_size: 231981927 --- # Dataset Card for "med_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.42264777421951294, -0.27214333415031433, 0.4311025142669678, 0.07934780418872833, -0.26259878277778625, -0.10625244677066803, 0.18876057863235474, -0.2387670874595642, 0.9654581546783447, 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louisbrulenaudet/code-sante-publique	louisbrulenaudet	2023-12-12T10:40:00Z	0	[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de la santé publique", "region:us" ]	[ "text-generation", "table-question-answering", "summarization", "conversational" ]	2023-12-12T10:39:13Z	--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de la santé publique source_datasets: - original pretty_name: Code de la santé publique task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de la santé publique, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de la santé publique, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-sante-publique}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).	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RicardoSolares/Messi	RicardoSolares	2023-12-12T11:31:31Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T10:42:57Z	--- license: apache-2.0 ---	[ -0.12853394448757172, -0.1861671805381775, 0.6529130339622498, 0.49436283111572266, -0.1931932270526886, 0.23607474565505981, 0.3607197403907776, 0.05056331306695938, 0.5793652534484863, 0.7400139570236206, -0.6508102416992188, -0.23783963918685913, -0.7102248668670654, -0.04782587289810181, -0.3894752860069275, 0.8470762968063354, -0.09598271548748016, 0.02400510013103485, 0.047119975090026855, -0.14317838847637177, -0.6121038198471069, -0.04771730303764343, -1.0524539947509766, -0.06787487864494324, 0.3002283573150635, 0.5120975971221924, 0.8275899291038513, 0.3960294723510742, 0.5030567049980164, 1.7515556812286377, -0.08836932480335236, -0.22754409909248352, -0.45892059803009033, 0.422306627035141, -0.33277350664138794, -0.42133671045303345, -0.2624160945415497, -0.0744936615228653, 0.32380393147468567, 0.7903714179992676, 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open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE	open-llm-leaderboard	2023-12-12T11:26:41Z	0	[ "region:us" ]	null	2023-12-12T11:25:50Z	--- pretty_name: Evaluation run of janhq/Mistral-7B-Instruct-v0.2-DARE dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/Mistral-7B-Instruct-v0.2-DARE](https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE)\ \ 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_janhq__Mistral-7B-Instruct-v0.2-DARE\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:22:55.278603](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE/blob/main/results_2023-12-12T11-22-55.278603.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\": 0.5002671303432286,\n\ \ \"acc_stderr\": 0.03440023987934237,\n \"acc_norm\": 0.506255828811682,\n\ \ \"acc_norm_stderr\": 0.035162947112250174,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418194,\n \"mc2\": 0.5435910325313378,\n\ \ \"mc2_stderr\": 0.015385871725485683\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5580204778156996,\n \"acc_stderr\": 0.014512682523128342,\n\ \ \"acc_norm\": 0.6194539249146758,\n \"acc_norm_stderr\": 0.014188277712349814\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5338577972515435,\n\ \ \"acc_stderr\": 0.0049783281907755245,\n \"acc_norm\": 0.7562238597888866,\n\ \ \"acc_norm_stderr\": 0.004284817238406704\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.4962962962962963,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.4962962962962963,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.5986842105263158,\n \"acc_stderr\": 0.03988903703336285,\n\ \ \"acc_norm\": 0.5986842105263158,\n \"acc_norm_stderr\": 0.03988903703336285\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.569811320754717,\n \"acc_stderr\": 0.030471445867183235,\n\ \ \"acc_norm\": 0.569811320754717,\n \"acc_norm_stderr\": 0.030471445867183235\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.5763888888888888,\n\ \ \"acc_stderr\": 0.041321250197233685,\n \"acc_norm\": 0.5763888888888888,\n\ \ \"acc_norm_stderr\": 0.041321250197233685\n },\n \"harness\|hendrycksTest-college_chemistry\|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_computer_science\|5\": {\n \"acc\"\ : 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5433526011560693,\n\ \ \"acc_stderr\": 0.03798106566014498,\n \"acc_norm\": 0.5433526011560693,\n\ \ \"acc_norm_stderr\": 0.03798106566014498\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\ \ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.48936170212765956,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.38596491228070173,\n\ \ \"acc_stderr\": 0.04579639422070434,\n \"acc_norm\": 0.38596491228070173,\n\ \ \"acc_norm_stderr\": 0.04579639422070434\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3783068783068783,\n \"acc_stderr\": 0.02497695405315526,\n \"\ acc_norm\": 0.3783068783068783,\n \"acc_norm_stderr\": 0.02497695405315526\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.2619047619047619,\n\ \ \"acc_stderr\": 0.03932537680392871,\n \"acc_norm\": 0.2619047619047619,\n\ \ \"acc_norm_stderr\": 0.03932537680392871\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.47419354838709676,\n \"acc_stderr\": 0.02840609505765332,\n \"\ acc_norm\": 0.47419354838709676,\n \"acc_norm_stderr\": 0.02840609505765332\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.35960591133004927,\n \"acc_stderr\": 0.03376458246509567,\n \"\ acc_norm\": 0.35960591133004927,\n \"acc_norm_stderr\": 0.03376458246509567\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.28484848484848485,\n \"acc_stderr\": 0.03524390844511784,\n\ \ \"acc_norm\": 0.28484848484848485,\n \"acc_norm_stderr\": 0.03524390844511784\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.6666666666666666,\n \"acc_stderr\": 0.033586181457325226,\n \"\ acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.033586181457325226\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7564766839378239,\n \"acc_stderr\": 0.030975436386845436,\n\ \ \"acc_norm\": 0.7564766839378239,\n \"acc_norm_stderr\": 0.030975436386845436\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5153846153846153,\n \"acc_stderr\": 0.02533900301010651,\n \ \ \"acc_norm\": 0.5153846153846153,\n \"acc_norm_stderr\": 0.02533900301010651\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945277,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945277\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.03242225027115006,\n \ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.03242225027115006\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.304635761589404,\n \"acc_stderr\": 0.03757949922943343,\n \"acc_norm\"\ : 0.304635761589404,\n \"acc_norm_stderr\": 0.03757949922943343\n },\n\ \ \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\": 0.6935779816513762,\n\ \ \"acc_stderr\": 0.01976551722045852,\n \"acc_norm\": 0.6935779816513762,\n\ \ \"acc_norm_stderr\": 0.01976551722045852\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.35648148148148145,\n \"acc_stderr\": 0.03266478331527272,\n\ \ \"acc_norm\": 0.35648148148148145,\n \"acc_norm_stderr\": 0.03266478331527272\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.39215686274509803,\n \"acc_stderr\": 0.03426712349247271,\n \"\ acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.03426712349247271\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.48945147679324896,\n \"acc_stderr\": 0.032539983791662855,\n \ \ \"acc_norm\": 0.48945147679324896,\n \"acc_norm_stderr\": 0.032539983791662855\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.5739910313901345,\n\ \ \"acc_stderr\": 0.03318833286217281,\n \"acc_norm\": 0.5739910313901345,\n\ \ \"acc_norm_stderr\": 0.03318833286217281\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6106870229007634,\n \"acc_stderr\": 0.04276486542814591,\n\ \ \"acc_norm\": 0.6106870229007634,\n \"acc_norm_stderr\": 0.04276486542814591\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.6694214876033058,\n \"acc_stderr\": 0.04294340845212094,\n \"\ acc_norm\": 0.6694214876033058,\n \"acc_norm_stderr\": 0.04294340845212094\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6203703703703703,\n\ \ \"acc_stderr\": 0.04691521224077742,\n \"acc_norm\": 0.6203703703703703,\n\ \ \"acc_norm_stderr\": 0.04691521224077742\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.5337423312883436,\n \"acc_stderr\": 0.03919415545048409,\n\ \ \"acc_norm\": 0.5337423312883436,\n \"acc_norm_stderr\": 0.03919415545048409\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.04582124160161551,\n\ \ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.04582124160161551\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.027236013946196687,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.027236013946196687\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.05021167315686779,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.05021167315686779\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.6934865900383141,\n\ \ \"acc_stderr\": 0.016486952893041508,\n \"acc_norm\": 0.6934865900383141,\n\ \ \"acc_norm_stderr\": 0.016486952893041508\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.5202312138728323,\n \"acc_stderr\": 0.026897049996382875,\n\ \ \"acc_norm\": 0.5202312138728323,\n \"acc_norm_stderr\": 0.026897049996382875\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.33743016759776534,\n\ \ \"acc_stderr\": 0.015813901283913048,\n \"acc_norm\": 0.33743016759776534,\n\ \ \"acc_norm_stderr\": 0.015813901283913048\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.5196078431372549,\n \"acc_stderr\": 0.028607893699576063,\n\ \ \"acc_norm\": 0.5196078431372549,\n \"acc_norm_stderr\": 0.028607893699576063\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.5434083601286174,\n\ \ \"acc_stderr\": 0.028290869054197604,\n \"acc_norm\": 0.5434083601286174,\n\ \ \"acc_norm_stderr\": 0.028290869054197604\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.027701228468542595,\n\ \ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.027701228468542595\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.35815602836879434,\n \"acc_stderr\": 0.02860208586275942,\n \ \ \"acc_norm\": 0.35815602836879434,\n \"acc_norm_stderr\": 0.02860208586275942\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.31747066492829207,\n\ \ \"acc_stderr\": 0.01188889206880931,\n \"acc_norm\": 0.31747066492829207,\n\ \ \"acc_norm_stderr\": 0.01188889206880931\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.41911764705882354,\n \"acc_stderr\": 0.029972807170464626,\n\ \ \"acc_norm\": 0.41911764705882354,\n \"acc_norm_stderr\": 0.029972807170464626\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.49019607843137253,\n \"acc_stderr\": 0.020223946005074312,\n \ \ \"acc_norm\": 0.49019607843137253,\n \"acc_norm_stderr\": 0.020223946005074312\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.49387755102040815,\n \"acc_stderr\": 0.032006820201639086,\n\ \ \"acc_norm\": 0.49387755102040815,\n \"acc_norm_stderr\": 0.032006820201639086\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.5124378109452736,\n\ \ \"acc_stderr\": 0.03534439848539579,\n \"acc_norm\": 0.5124378109452736,\n\ \ \"acc_norm_stderr\": 0.03534439848539579\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.43373493975903615,\n\ \ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\ \ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7251461988304093,\n \"acc_stderr\": 0.03424042924691584,\n\ \ \"acc_norm\": 0.7251461988304093,\n \"acc_norm_stderr\": 0.03424042924691584\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418194,\n \"mc2\": 0.5435910325313378,\n\ \ \"mc2_stderr\": 0.015385871725485683\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.749802683504341,\n \"acc_stderr\": 0.01217300964244914\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.18119787717968158,\n \ \ \"acc_stderr\": 0.010609827611527357\n }\n}\n```" repo_url: https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-22-55.278603.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|gsm8k\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hellaswag\|10_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-22-55.278603.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-22-55.278603.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '/details_harness\|winogrande\|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T11-22-55.278603.parquet' - config_name: results data_files: - split: 2023_12_12T11_22_55.278603 path: - results_2023-12-12T11-22-55.278603.parquet - split: latest path: - results_2023-12-12T11-22-55.278603.parquet --- # Dataset Card for Evaluation run of janhq/Mistral-7B-Instruct-v0.2-DARE <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [janhq/Mistral-7B-Instruct-v0.2-DARE](https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE) 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_janhq__Mistral-7B-Instruct-v0.2-DARE", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:22:55.278603](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE/blob/main/results_2023-12-12T11-22-55.278603.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": 0.5002671303432286, "acc_stderr": 0.03440023987934237, "acc_norm": 0.506255828811682, "acc_norm_stderr": 0.035162947112250174, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418194, "mc2": 0.5435910325313378, "mc2_stderr": 0.015385871725485683 }, "harness\|arc:challenge\|25": { "acc": 0.5580204778156996, "acc_stderr": 0.014512682523128342, "acc_norm": 0.6194539249146758, "acc_norm_stderr": 0.014188277712349814 }, "harness\|hellaswag\|10": { "acc": 0.5338577972515435, "acc_stderr": 0.0049783281907755245, "acc_norm": 0.7562238597888866, "acc_norm_stderr": 0.004284817238406704 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.4962962962962963, "acc_stderr": 0.04319223625811331, "acc_norm": 0.4962962962962963, "acc_norm_stderr": 0.04319223625811331 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.5986842105263158, "acc_stderr": 0.03988903703336285, "acc_norm": 0.5986842105263158, "acc_norm_stderr": 0.03988903703336285 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.569811320754717, "acc_stderr": 0.030471445867183235, "acc_norm": 0.569811320754717, "acc_norm_stderr": 0.030471445867183235 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.5763888888888888, "acc_stderr": 0.041321250197233685, "acc_norm": 0.5763888888888888, "acc_norm_stderr": 0.041321250197233685 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5433526011560693, "acc_stderr": 0.03798106566014498, "acc_norm": 0.5433526011560693, "acc_norm_stderr": 0.03798106566014498 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082635, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082635 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.38596491228070173, "acc_stderr": 0.04579639422070434, "acc_norm": 0.38596491228070173, "acc_norm_stderr": 0.04579639422070434 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3783068783068783, "acc_stderr": 0.02497695405315526, "acc_norm": 0.3783068783068783, "acc_norm_stderr": 0.02497695405315526 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.2619047619047619, "acc_stderr": 0.03932537680392871, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.03932537680392871 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.47419354838709676, "acc_stderr": 0.02840609505765332, "acc_norm": 0.47419354838709676, "acc_norm_stderr": 0.02840609505765332 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.35960591133004927, "acc_stderr": 0.03376458246509567, "acc_norm": 0.35960591133004927, "acc_norm_stderr": 0.03376458246509567 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.28484848484848485, "acc_stderr": 0.03524390844511784, "acc_norm": 0.28484848484848485, "acc_norm_stderr": 0.03524390844511784 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.033586181457325226, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.033586181457325226 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7564766839378239, "acc_stderr": 0.030975436386845436, "acc_norm": 0.7564766839378239, "acc_norm_stderr": 0.030975436386845436 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5153846153846153, "acc_stderr": 0.02533900301010651, "acc_norm": 0.5153846153846153, "acc_norm_stderr": 0.02533900301010651 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945277, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945277 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5294117647058824, "acc_stderr": 0.03242225027115006, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.03242225027115006 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.304635761589404, "acc_stderr": 0.03757949922943343, "acc_norm": 0.304635761589404, "acc_norm_stderr": 0.03757949922943343 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.6935779816513762, "acc_stderr": 0.01976551722045852, "acc_norm": 0.6935779816513762, "acc_norm_stderr": 0.01976551722045852 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.35648148148148145, "acc_stderr": 0.03266478331527272, "acc_norm": 0.35648148148148145, "acc_norm_stderr": 0.03266478331527272 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.03426712349247271, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.03426712349247271 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.48945147679324896, "acc_stderr": 0.032539983791662855, "acc_norm": 0.48945147679324896, "acc_norm_stderr": 0.032539983791662855 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.5739910313901345, "acc_stderr": 0.03318833286217281, "acc_norm": 0.5739910313901345, "acc_norm_stderr": 0.03318833286217281 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6106870229007634, "acc_stderr": 0.04276486542814591, "acc_norm": 0.6106870229007634, "acc_norm_stderr": 0.04276486542814591 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.6694214876033058, "acc_stderr": 0.04294340845212094, "acc_norm": 0.6694214876033058, "acc_norm_stderr": 0.04294340845212094 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6203703703703703, "acc_stderr": 0.04691521224077742, "acc_norm": 0.6203703703703703, "acc_norm_stderr": 0.04691521224077742 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.5337423312883436, "acc_stderr": 0.03919415545048409, "acc_norm": 0.5337423312883436, "acc_norm_stderr": 0.03919415545048409 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness\|hendrycksTest-management\|5": { "acc": 0.6893203883495146, "acc_stderr": 0.04582124160161551, "acc_norm": 0.6893203883495146, "acc_norm_stderr": 0.04582124160161551 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.027236013946196687, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.027236013946196687 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.52, "acc_stderr": 0.05021167315686779, "acc_norm": 0.52, "acc_norm_stderr": 0.05021167315686779 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.6934865900383141, "acc_stderr": 0.016486952893041508, "acc_norm": 0.6934865900383141, "acc_norm_stderr": 0.016486952893041508 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.5202312138728323, "acc_stderr": 0.026897049996382875, "acc_norm": 0.5202312138728323, "acc_norm_stderr": 0.026897049996382875 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.33743016759776534, "acc_stderr": 0.015813901283913048, "acc_norm": 0.33743016759776534, "acc_norm_stderr": 0.015813901283913048 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.5196078431372549, "acc_stderr": 0.028607893699576063, "acc_norm": 0.5196078431372549, "acc_norm_stderr": 0.028607893699576063 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.5434083601286174, "acc_stderr": 0.028290869054197604, "acc_norm": 0.5434083601286174, "acc_norm_stderr": 0.028290869054197604 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.5462962962962963, "acc_stderr": 0.027701228468542595, "acc_norm": 0.5462962962962963, "acc_norm_stderr": 0.027701228468542595 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.35815602836879434, "acc_stderr": 0.02860208586275942, "acc_norm": 0.35815602836879434, "acc_norm_stderr": 0.02860208586275942 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.31747066492829207, "acc_stderr": 0.01188889206880931, "acc_norm": 0.31747066492829207, "acc_norm_stderr": 0.01188889206880931 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.41911764705882354, "acc_stderr": 0.029972807170464626, "acc_norm": 0.41911764705882354, "acc_norm_stderr": 0.029972807170464626 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.49019607843137253, "acc_stderr": 0.020223946005074312, "acc_norm": 0.49019607843137253, "acc_norm_stderr": 0.020223946005074312 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.49387755102040815, "acc_stderr": 0.032006820201639086, "acc_norm": 0.49387755102040815, "acc_norm_stderr": 0.032006820201639086 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.5124378109452736, "acc_stderr": 0.03534439848539579, "acc_norm": 0.5124378109452736, "acc_norm_stderr": 0.03534439848539579 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.43373493975903615, "acc_stderr": 0.03858158940685517, "acc_norm": 0.43373493975903615, "acc_norm_stderr": 0.03858158940685517 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7251461988304093, "acc_stderr": 0.03424042924691584, "acc_norm": 0.7251461988304093, "acc_norm_stderr": 0.03424042924691584 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418194, "mc2": 0.5435910325313378, "mc2_stderr": 0.015385871725485683 }, "harness\|winogrande\|5": { "acc": 0.749802683504341, "acc_stderr": 0.01217300964244914 }, "harness\|gsm8k\|5": { "acc": 0.18119787717968158, "acc_stderr": 0.010609827611527357 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7370991706848145, -0.8808087110519409, 0.26430562138557434, 0.19421130418777466, -0.15124918520450592, -0.12355807423591614, 0.05590053275227547, -0.20130716264247894, 0.5372365713119507, -0.04899342358112335, -0.47491782903671265, -0.6922471523284912, -0.41031819581985474, 0.22586610913276672, -0.05180320888757706, 0.8438387513160706, -0.1467343121767044, 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open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA	open-llm-leaderboard	2023-12-12T11:40:07Z	0	[ "region:us" ]	null	2023-12-12T11:39:26Z	--- pretty_name: Evaluation run of one-man-army/una-neural-chat-v3-3-P1-OMA dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [one-man-army/una-neural-chat-v3-3-P1-OMA](https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA)\ \ 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_one-man-army__una-neural-chat-v3-3-P1-OMA\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:36:35.468608](https://huggingface.co/datasets/open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA/blob/main/results_2023-12-12T11-36-35.468608.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\": 0.636840960894971,\n\ \ \"acc_stderr\": 0.0325649293445393,\n \"acc_norm\": 0.6380848976326104,\n\ \ \"acc_norm_stderr\": 0.0332251069866789,\n \"mc1\": 0.4847001223990208,\n\ \ \"mc1_stderr\": 0.017495304473187902,\n \"mc2\": 0.6434691270555646,\n\ \ \"mc2_stderr\": 0.015146860071018828\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175456,\n\ \ \"acc_norm\": 0.6680887372013652,\n \"acc_norm_stderr\": 0.013760988200880543\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6734714200358495,\n\ \ \"acc_stderr\": 0.004679847503411345,\n \"acc_norm\": 0.8591913961362279,\n\ \ \"acc_norm_stderr\": 0.0034711315448920418\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.0387813988879761,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.0387813988879761\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n\ \ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6416184971098265,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.6416184971098265,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.049512182523962625,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.049512182523962625\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5574468085106383,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.43859649122807015,\n\ \ \"acc_stderr\": 0.04668000738510455,\n \"acc_norm\": 0.43859649122807015,\n\ \ \"acc_norm_stderr\": 0.04668000738510455\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113728,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113728\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7451612903225806,\n \"acc_stderr\": 0.024790118459332208,\n \"\ acc_norm\": 0.7451612903225806,\n \"acc_norm_stderr\": 0.024790118459332208\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\"\ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.033175059300091826,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.033175059300091826\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.028606204289229872,\n \"\ acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229872\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593552,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593552\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6333333333333333,\n \"acc_stderr\": 0.02443301646605246,\n \ \ \"acc_norm\": 0.6333333333333333,\n \"acc_norm_stderr\": 0.02443301646605246\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083015,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083015\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8366972477064221,\n \"acc_stderr\": 0.015848255806501538,\n \"\ acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.015848255806501538\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7843137254901961,\n \"acc_stderr\": 0.028867431449849313,\n \"\ acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.028867431449849313\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6771300448430493,\n\ \ \"acc_stderr\": 0.031381476375754995,\n \"acc_norm\": 0.6771300448430493,\n\ \ \"acc_norm_stderr\": 0.031381476375754995\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596914,\n\ \ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596914\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.042365112580946315,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.042365112580946315\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077816,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077816\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608311,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608311\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7052023121387283,\n \"acc_stderr\": 0.024547617794803828,\n\ \ \"acc_norm\": 0.7052023121387283,\n \"acc_norm_stderr\": 0.024547617794803828\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.39664804469273746,\n\ \ \"acc_stderr\": 0.016361354769822468,\n \"acc_norm\": 0.39664804469273746,\n\ \ \"acc_norm_stderr\": 0.016361354769822468\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.02617390850671858,\n\ \ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.02617390850671858\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6752411575562701,\n\ \ \"acc_stderr\": 0.026596782287697043,\n \"acc_norm\": 0.6752411575562701,\n\ \ \"acc_norm_stderr\": 0.026596782287697043\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291456,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291456\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.43415906127770537,\n\ \ \"acc_stderr\": 0.012659033237067248,\n \"acc_norm\": 0.43415906127770537,\n\ \ \"acc_norm_stderr\": 0.012659033237067248\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.028332959514031215,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.028332959514031215\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6601307189542484,\n \"acc_stderr\": 0.019162418588623567,\n \ \ \"acc_norm\": 0.6601307189542484,\n \"acc_norm_stderr\": 0.019162418588623567\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4847001223990208,\n\ \ \"mc1_stderr\": 0.017495304473187902,\n \"mc2\": 0.6434691270555646,\n\ \ \"mc2_stderr\": 0.015146860071018828\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7963693764798737,\n \"acc_stderr\": 0.011317798781626913\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6186504927975739,\n \ \ \"acc_stderr\": 0.013379089877400715\n }\n}\n```" repo_url: https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-36-35.468608.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|gsm8k\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hellaswag\|10_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-36-35.468608.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-36-35.468608.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '/details_harness\|winogrande\|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T11-36-35.468608.parquet' - config_name: results data_files: - split: 2023_12_12T11_36_35.468608 path: - results_2023-12-12T11-36-35.468608.parquet - split: latest path: - results_2023-12-12T11-36-35.468608.parquet --- # Dataset Card for Evaluation run of one-man-army/una-neural-chat-v3-3-P1-OMA <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [one-man-army/una-neural-chat-v3-3-P1-OMA](https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA) 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_one-man-army__una-neural-chat-v3-3-P1-OMA", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:36:35.468608](https://huggingface.co/datasets/open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA/blob/main/results_2023-12-12T11-36-35.468608.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": 0.636840960894971, "acc_stderr": 0.0325649293445393, "acc_norm": 0.6380848976326104, "acc_norm_stderr": 0.0332251069866789, "mc1": 0.4847001223990208, "mc1_stderr": 0.017495304473187902, "mc2": 0.6434691270555646, "mc2_stderr": 0.015146860071018828 }, "harness\|arc:challenge\|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175456, "acc_norm": 0.6680887372013652, "acc_norm_stderr": 0.013760988200880543 }, "harness\|hellaswag\|10": { "acc": 0.6734714200358495, "acc_stderr": 0.004679847503411345, "acc_norm": 0.8591913961362279, "acc_norm_stderr": 0.0034711315448920418 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6513157894736842, "acc_stderr": 0.0387813988879761, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.0387813988879761 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6792452830188679, "acc_stderr": 0.028727502957880267, "acc_norm": 0.6792452830188679, "acc_norm_stderr": 0.028727502957880267 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6416184971098265, "acc_stderr": 0.036563436533531585, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.036563436533531585 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.049512182523962625, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.049512182523962625 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5574468085106383, "acc_stderr": 0.03246956919789958, "acc_norm": 0.5574468085106383, "acc_norm_stderr": 0.03246956919789958 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.43859649122807015, "acc_stderr": 0.04668000738510455, "acc_norm": 0.43859649122807015, "acc_norm_stderr": 0.04668000738510455 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3888888888888889, "acc_stderr": 0.02510742548113728, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.02510742548113728 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7451612903225806, "acc_stderr": 0.024790118459332208, "acc_norm": 0.7451612903225806, "acc_norm_stderr": 0.024790118459332208 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7636363636363637, "acc_stderr": 0.033175059300091826, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.033175059300091826 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.797979797979798, "acc_stderr": 0.028606204289229872, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.028606204289229872 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593552, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593552 }, 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7654874324798584, -0.8741801977157593, 0.2462083399295807, 0.24126936495304108, -0.157488614320755, -0.08146136999130249, 0.037091754376888275, -0.19531182944774628, 0.6072032451629639, -0.09227359294891357, -0.5042708516120911, -0.6829075217247009, -0.4249301254749298, 0.21292085945606232, -0.04066404327750206, 0.7908689975738525, -0.11145716905593872, 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carlosfuy/poderdodirect	carlosfuy	2023-12-12T16:48:14Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T11:58:11Z	--- license: apache-2.0 ---	[ -0.12853407859802246, -0.18616771697998047, 0.652912974357605, 0.4943622350692749, -0.1931931972503662, 0.23607467114925385, 0.36071979999542236, 0.05056376755237579, 0.5793653726577759, 0.740013837814331, -0.6508100032806396, -0.23783957958221436, -0.7102252244949341, -0.04782591760158539, -0.3894752264022827, 0.8470760583877563, -0.0959823876619339, 0.02400447428226471, 0.04711972177028656, -0.14317813515663147, -0.6121035814285278, -0.047717154026031494, -1.0524539947509766, -0.06787465512752533, 0.3002280294895172, 0.5120975971221924, 0.8275901079177856, 0.3960293233394623, 0.5030570030212402, 1.7515560388565063, -0.08836908638477325, -0.2275443971157074, -0.45892056822776794, 0.42230725288391113, -0.3327734172344208, -0.42133691906929016, -0.2624165117740631, -0.07449330389499664, 0.32380399107933044, 0.7903710007667542, 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open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b	open-llm-leaderboard	2023-12-12T12:03:14Z	0	[ "region:us" ]	null	2023-12-12T12:02:35Z	--- pretty_name: Evaluation run of Dans-DiscountModels/Dans-07YahooAnswers-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Dans-DiscountModels/Dans-07YahooAnswers-7b](https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b)\ \ 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_Dans-DiscountModels__Dans-07YahooAnswers-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:59:44.186330](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b/blob/main/results_2023-12-12T11-59-44.186330.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\": 0.6323522461193881,\n\ \ \"acc_stderr\": 0.03241238510531189,\n \"acc_norm\": 0.6383173601212951,\n\ \ \"acc_norm_stderr\": 0.03306669157812459,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006523,\n \"mc2\": 0.4183936786632435,\n\ \ \"mc2_stderr\": 0.014090095370779055\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5716723549488054,\n \"acc_stderr\": 0.014460496367599024,\n\ \ \"acc_norm\": 0.6151877133105802,\n \"acc_norm_stderr\": 0.014218371065251104\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.634833698466441,\n\ \ \"acc_stderr\": 0.004804927608773128,\n \"acc_norm\": 0.836885082652858,\n\ \ \"acc_norm_stderr\": 0.0036871539405687976\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7152777777777778,\n\ \ \"acc_stderr\": 0.037738099906869334,\n \"acc_norm\": 0.7152777777777778,\n\ \ \"acc_norm_stderr\": 0.037738099906869334\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_computer_science\|5\"\ : {\n \"acc\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\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\": 0.6184971098265896,\n \"acc_stderr\": 0.03703851193099521,\n\ \ \"acc_norm\": 0.6184971098265896,\n \"acc_norm_stderr\": 0.03703851193099521\n\ \ },\n \"harness\|hendrycksTest-college_physics\|5\": {\n \"acc\": 0.38235294117647056,\n\ \ \"acc_stderr\": 0.04835503696107223,\n \"acc_norm\": 0.38235294117647056,\n\ \ \"acc_norm_stderr\": 0.04835503696107223\n },\n \"harness\|hendrycksTest-computer_security\|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness\|hendrycksTest-conceptual_physics\|5\": {\n \"acc\": 0.5659574468085107,\n\ \ \"acc_stderr\": 0.03240038086792747,\n \"acc_norm\": 0.5659574468085107,\n\ \ \"acc_norm_stderr\": 0.03240038086792747\n },\n \"harness\|hendrycksTest-econometrics\|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.04702880432049615,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.04702880432049615\n\ \ },\n \"harness\|hendrycksTest-electrical_engineering\|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949098,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949098\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7387096774193549,\n \"acc_stderr\": 0.024993053397764826,\n \"\ acc_norm\": 0.7387096774193549,\n \"acc_norm_stderr\": 0.024993053397764826\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.5270935960591133,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.5270935960591133,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386417,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386417\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8704663212435233,\n \"acc_stderr\": 0.02423353229775873,\n\ \ \"acc_norm\": 0.8704663212435233,\n \"acc_norm_stderr\": 0.02423353229775873\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062153,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062153\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n \ \ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8091743119266055,\n \"acc_stderr\": 0.0168476764000911,\n \"acc_norm\"\ : 0.8091743119266055,\n \"acc_norm_stderr\": 0.0168476764000911\n },\n\ \ \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\": 0.5046296296296297,\n\ \ \"acc_stderr\": 0.03409825519163572,\n \"acc_norm\": 0.5046296296296297,\n\ \ \"acc_norm_stderr\": 0.03409825519163572\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.028867431449849316,\n\ \ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.028867431449849316\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7468354430379747,\n \"acc_stderr\": 0.0283046579430353,\n \ \ \"acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.0283046579430353\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7975460122699386,\n \"acc_stderr\": 0.03157065078911901,\n\ \ \"acc_norm\": 0.7975460122699386,\n \"acc_norm_stderr\": 0.03157065078911901\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.04461960433384739\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8160919540229885,\n\ \ \"acc_stderr\": 0.01385372417092252,\n \"acc_norm\": 0.8160919540229885,\n\ \ \"acc_norm_stderr\": 0.01385372417092252\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7052023121387283,\n \"acc_stderr\": 0.024547617794803828,\n\ \ \"acc_norm\": 0.7052023121387283,\n \"acc_norm_stderr\": 0.024547617794803828\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.31620111731843575,\n\ \ \"acc_stderr\": 0.015551673652172552,\n \"acc_norm\": 0.31620111731843575,\n\ \ \"acc_norm_stderr\": 0.015551673652172552\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.02616058445014045,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.02616058445014045\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7314814814814815,\n \"acc_stderr\": 0.024659685185967284,\n\ \ \"acc_norm\": 0.7314814814814815,\n \"acc_norm_stderr\": 0.024659685185967284\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.012725701656953642,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.012725701656953642\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6544117647058824,\n \"acc_stderr\": 0.028888193103988637,\n\ \ \"acc_norm\": 0.6544117647058824,\n \"acc_norm_stderr\": 0.028888193103988637\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6748366013071896,\n \"acc_stderr\": 0.01895088677080631,\n \ \ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.01895088677080631\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8109452736318408,\n\ \ \"acc_stderr\": 0.02768691358801301,\n \"acc_norm\": 0.8109452736318408,\n\ \ \"acc_norm_stderr\": 0.02768691358801301\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.02917088550072766,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.02917088550072766\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006523,\n \"mc2\": 0.4183936786632435,\n\ \ \"mc2_stderr\": 0.014090095370779055\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.011539912734345391\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3730098559514784,\n \ \ \"acc_stderr\": 0.013320876609777214\n }\n}\n```" repo_url: https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T11-59-44.186330.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|gsm8k\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hellaswag\|10_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-59-44.186330.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T11-59-44.186330.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '/details_harness\|winogrande\|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T11-59-44.186330.parquet' - config_name: results data_files: - split: 2023_12_12T11_59_44.186330 path: - results_2023-12-12T11-59-44.186330.parquet - split: latest path: - results_2023-12-12T11-59-44.186330.parquet --- # Dataset Card for Evaluation run of Dans-DiscountModels/Dans-07YahooAnswers-7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Dans-DiscountModels/Dans-07YahooAnswers-7b](https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b) 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_Dans-DiscountModels__Dans-07YahooAnswers-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:59:44.186330](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b/blob/main/results_2023-12-12T11-59-44.186330.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": 0.6323522461193881, "acc_stderr": 0.03241238510531189, "acc_norm": 0.6383173601212951, "acc_norm_stderr": 0.03306669157812459, "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006523, "mc2": 0.4183936786632435, "mc2_stderr": 0.014090095370779055 }, "harness\|arc:challenge\|25": { "acc": 0.5716723549488054, "acc_stderr": 0.014460496367599024, "acc_norm": 0.6151877133105802, "acc_norm_stderr": 0.014218371065251104 }, "harness\|hellaswag\|10": { "acc": 0.634833698466441, "acc_stderr": 0.004804927608773128, "acc_norm": 0.836885082652858, "acc_norm_stderr": 0.0036871539405687976 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.690566037735849, "acc_stderr": 0.028450154794118637, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.028450154794118637 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7152777777777778, "acc_stderr": 0.037738099906869334, "acc_norm": 0.7152777777777778, "acc_norm_stderr": 0.037738099906869334 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "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": 0.6184971098265896, "acc_stderr": 0.03703851193099521, "acc_norm": 0.6184971098265896, "acc_norm_stderr": 0.03703851193099521 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5659574468085107, "acc_stderr": 0.03240038086792747, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.03240038086792747 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4074074074074074, "acc_stderr": 0.02530590624159063, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.02530590624159063 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7387096774193549, "acc_stderr": 0.024993053397764826, "acc_norm": 0.7387096774193549, "acc_norm_stderr": 0.024993053397764826 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5270935960591133, "acc_stderr": 0.03512819077876106, "acc_norm": 0.5270935960591133, "acc_norm_stderr": 0.03512819077876106 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7575757575757576, "acc_stderr": 0.03346409881055953, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.03346409881055953 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386417, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386417 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8704663212435233, "acc_stderr": 0.02423353229775873, "acc_norm": 0.8704663212435233, "acc_norm_stderr": 0.02423353229775873 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6461538461538462, "acc_stderr": 0.024243783994062153, "acc_norm": 0.6461538461538462, "acc_norm_stderr": 0.024243783994062153 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6302521008403361, "acc_stderr": 0.03135709599613591, "acc_norm": 0.6302521008403361, "acc_norm_stderr": 0.03135709599613591 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8091743119266055, "acc_stderr": 0.0168476764000911, "acc_norm": 0.8091743119266055, "acc_norm_stderr": 0.0168476764000911 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5046296296296297, "acc_stderr": 0.03409825519163572, "acc_norm": 0.5046296296296297, "acc_norm_stderr": 0.03409825519163572 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7843137254901961, "acc_stderr": 0.028867431449849316, "acc_norm": 0.7843137254901961, "acc_norm_stderr": 0.028867431449849316 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7468354430379747, "acc_stderr": 0.0283046579430353, "acc_norm": 0.7468354430379747, "acc_norm_stderr": 0.0283046579430353 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624714, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624714 }, "harness\|hendrycksTest-international_law\|5": { "acc": 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0.02023714900899093 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.73, "acc_stderr": 0.04461960433384739, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384739 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8160919540229885, "acc_stderr": 0.01385372417092252, "acc_norm": 0.8160919540229885, "acc_norm_stderr": 0.01385372417092252 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7052023121387283, "acc_stderr": 0.024547617794803828, "acc_norm": 0.7052023121387283, "acc_norm_stderr": 0.024547617794803828 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.31620111731843575, "acc_stderr": 0.015551673652172552, "acc_norm": 0.31620111731843575, "acc_norm_stderr": 0.015551673652172552 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.738562091503268, "acc_stderr": 0.025160998214292456, "acc_norm": 0.738562091503268, "acc_norm_stderr": 0.025160998214292456 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6945337620578779, "acc_stderr": 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"acc_stderr": 0.02917088550072766, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.02917088550072766 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006523, "mc2": 0.4183936786632435, "mc2_stderr": 0.014090095370779055 }, "harness\|winogrande\|5": { "acc": 0.7853196527229677, "acc_stderr": 0.011539912734345391 }, "harness\|gsm8k\|5": { "acc": 0.3730098559514784, "acc_stderr": 0.013320876609777214 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, 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It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7566254734992981, -0.8708574771881104, 0.24904413521289825, 0.2111072689294815, -0.17323248088359833, -0.11472280323505402, 0.029781900346279144, -0.21220888197422028, 0.5745748281478882, -0.06402259320020676, -0.4531686305999756, -0.7234824895858765, -0.4245010316371918, 0.2520766258239746, -0.04379022866487503, 0.799357533454895, -0.17691077291965485, 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RicardoSolares/Messi2	RicardoSolares	2023-12-12T12:31:59Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T12:31:38Z	--- license: apache-2.0 ---	[ -0.1285340040922165, -0.1861676573753357, 0.6529127955436707, 0.49436259269714355, -0.19319328665733337, 0.23607435822486877, 0.36072009801864624, 0.05056355893611908, 0.579365611076355, 0.7400140166282654, -0.6508103609085083, -0.23783960938453674, -0.7102246284484863, -0.04782567173242569, -0.3894752860069275, 0.8470766544342041, -0.09598266333341599, 0.024004675447940826, 0.04712015390396118, -0.14317838847637177, -0.6121037006378174, -0.04771718382835388, -1.052453875541687, -0.06787467747926712, 0.3002282381057739, 0.5120975375175476, 0.8275901079177856, 0.39602965116500854, 0.5030567049980164, 1.7515555620193481, -0.08836933970451355, -0.2275441437959671, -0.45892030000686646, 0.42230701446533203, -0.3327735662460327, -0.4213368594646454, -0.26241639256477356, -0.07449351251125336, 0.32380399107933044, 0.7903711199760437, 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DezS/Accent-and-accentless-Vietnamese-dataset	DezS	2023-12-12T12:48:33Z	0	[ "license:pddl", "region:us" ]	null	2023-12-12T12:37:49Z	--- license: pddl This dataset consists of 2 columns: Sentences and AccentlessSentences This is the dataset used for the training of this model: https://huggingface.co/DezS/T5-Vietnamese-Accent-Adder ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, 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RicardoSolares/messi3	RicardoSolares	2023-12-12T14:25:50Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T12:39:38Z	--- license: apache-2.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat	open-llm-leaderboard	2023-12-12T12:45:41Z	0	[ "region:us" ]	null	2023-12-12T12:44:58Z	--- pretty_name: Evaluation run of viethq188/Rabbit-7B-DPO-Chat dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [viethq188/Rabbit-7B-DPO-Chat](https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat)\ \ 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_viethq188__Rabbit-7B-DPO-Chat\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T12:42:05.129692](https://huggingface.co/datasets/open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat/blob/main/results_2023-12-12T12-42-05.129692.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\": 0.6100718716052655,\n\ \ \"acc_stderr\": 0.03311439179911609,\n \"acc_norm\": 0.6112562424256339,\n\ \ \"acc_norm_stderr\": 0.03378279812081705,\n \"mc1\": 0.48959608323133413,\n\ \ \"mc1_stderr\": 0.017499711430249264,\n \"mc2\": 0.6217820822805159,\n\ \ \"mc2_stderr\": 0.015655139839426707\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6578498293515358,\n \"acc_stderr\": 0.013864152159177275,\n\ \ \"acc_norm\": 0.7030716723549488,\n \"acc_norm_stderr\": 0.013352025976725227\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6928898625771759,\n\ \ \"acc_stderr\": 0.004603527017557839,\n \"acc_norm\": 0.8743278231428002,\n\ \ \"acc_norm_stderr\": 0.0033080208244267903\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.5407407407407407,\n\ \ \"acc_stderr\": 0.04304979692464241,\n \"acc_norm\": 0.5407407407407407,\n\ \ \"acc_norm_stderr\": 0.04304979692464241\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.03910525752849724,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.03910525752849724\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.49,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.660377358490566,\n \"acc_stderr\": 0.02914690474779833,\n\ \ \"acc_norm\": 0.660377358490566,\n \"acc_norm_stderr\": 0.02914690474779833\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6736111111111112,\n\ \ \"acc_stderr\": 0.03921067198982266,\n \"acc_norm\": 0.6736111111111112,\n\ \ \"acc_norm_stderr\": 0.03921067198982266\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.049999999999999996,\n \ \ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.049999999999999996\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6242774566473989,\n\ \ \"acc_stderr\": 0.03692820767264866,\n \"acc_norm\": 0.6242774566473989,\n\ \ \"acc_norm_stderr\": 0.03692820767264866\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42063492063492064,\n \"acc_stderr\": 0.025424835086923996,\n \"\ acc_norm\": 0.42063492063492064,\n \"acc_norm_stderr\": 0.025424835086923996\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4603174603174603,\n\ \ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\ \ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.7290322580645161,\n\ \ \"acc_stderr\": 0.025284416114900152,\n \"acc_norm\": 0.7290322580645161,\n\ \ \"acc_norm_stderr\": 0.025284416114900152\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n\ \ \"acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.0356796977226805,\n\ \ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.0356796977226805\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386417,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386417\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8549222797927462,\n \"acc_stderr\": 0.025416343096306405,\n\ \ \"acc_norm\": 0.8549222797927462,\n \"acc_norm_stderr\": 0.025416343096306405\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6230769230769231,\n \"acc_stderr\": 0.024570975364225995,\n\ \ \"acc_norm\": 0.6230769230769231,\n \"acc_norm_stderr\": 0.024570975364225995\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6974789915966386,\n \"acc_stderr\": 0.02983796238829194,\n \ \ \"acc_norm\": 0.6974789915966386,\n \"acc_norm_stderr\": 0.02983796238829194\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8055045871559633,\n \"acc_stderr\": 0.016970289090458033,\n \"\ acc_norm\": 0.8055045871559633,\n \"acc_norm_stderr\": 0.016970289090458033\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5046296296296297,\n \"acc_stderr\": 0.03409825519163572,\n \"\ acc_norm\": 0.5046296296296297,\n \"acc_norm_stderr\": 0.03409825519163572\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.7932489451476793,\n \"acc_stderr\": 0.026361651668389094,\n\ \ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.026361651668389094\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6636771300448431,\n\ \ \"acc_stderr\": 0.031708824268455,\n \"acc_norm\": 0.6636771300448431,\n\ \ \"acc_norm_stderr\": 0.031708824268455\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467766,\n\ \ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467766\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912046\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6851851851851852,\n\ \ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\ \ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8162393162393162,\n\ \ \"acc_stderr\": 0.025372139671722933,\n \"acc_norm\": 0.8162393162393162,\n\ \ \"acc_norm_stderr\": 0.025372139671722933\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7879948914431673,\n\ \ \"acc_stderr\": 0.014616099385833676,\n \"acc_norm\": 0.7879948914431673,\n\ \ \"acc_norm_stderr\": 0.014616099385833676\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.025624723994030457,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.025624723994030457\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.22569832402234638,\n\ \ \"acc_stderr\": 0.013981395058455054,\n \"acc_norm\": 0.22569832402234638,\n\ \ \"acc_norm_stderr\": 0.013981395058455054\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6633986928104575,\n \"acc_stderr\": 0.02705797462449438,\n\ \ \"acc_norm\": 0.6633986928104575,\n \"acc_norm_stderr\": 0.02705797462449438\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6688102893890675,\n\ \ \"acc_stderr\": 0.026730620728004906,\n \"acc_norm\": 0.6688102893890675,\n\ \ \"acc_norm_stderr\": 0.026730620728004906\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.025630824975621348,\n\ \ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.025630824975621348\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.39361702127659576,\n \"acc_stderr\": 0.029144544781596133,\n \ \ \"acc_norm\": 0.39361702127659576,\n \"acc_norm_stderr\": 0.029144544781596133\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.44654498044328556,\n\ \ \"acc_stderr\": 0.012697046024399675,\n \"acc_norm\": 0.44654498044328556,\n\ \ \"acc_norm_stderr\": 0.012697046024399675\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6323529411764706,\n \"acc_stderr\": 0.02928941340940319,\n\ \ \"acc_norm\": 0.6323529411764706,\n \"acc_norm_stderr\": 0.02928941340940319\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6094771241830066,\n \"acc_stderr\": 0.019737008998094604,\n \ \ \"acc_norm\": 0.6094771241830066,\n \"acc_norm_stderr\": 0.019737008998094604\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7061224489795919,\n \"acc_stderr\": 0.029162738410249765,\n\ \ \"acc_norm\": 0.7061224489795919,\n \"acc_norm_stderr\": 0.029162738410249765\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8159203980099502,\n\ \ \"acc_stderr\": 0.027403859410786845,\n \"acc_norm\": 0.8159203980099502,\n\ \ \"acc_norm_stderr\": 0.027403859410786845\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197771,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197771\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.45180722891566266,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.45180722891566266,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.48959608323133413,\n\ \ \"mc1_stderr\": 0.017499711430249264,\n \"mc2\": 0.6217820822805159,\n\ \ \"mc2_stderr\": 0.015655139839426707\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7916337805840569,\n \"acc_stderr\": 0.011414554399987738\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.5852918877937832,\n \ \ \"acc_stderr\": 0.013570623842304511\n }\n}\n```" repo_url: https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|arc:challenge\|25_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T12-42-05.129692.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|gsm8k\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hellaswag\|10_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-42-05.129692.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T12-42-05.129692.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '/details_harness\|winogrande\|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T12-42-05.129692.parquet' - config_name: results data_files: - split: 2023_12_12T12_42_05.129692 path: - results_2023-12-12T12-42-05.129692.parquet - split: latest path: - results_2023-12-12T12-42-05.129692.parquet --- # Dataset Card for Evaluation run of viethq188/Rabbit-7B-DPO-Chat <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [viethq188/Rabbit-7B-DPO-Chat](https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat) 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_viethq188__Rabbit-7B-DPO-Chat", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T12:42:05.129692](https://huggingface.co/datasets/open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat/blob/main/results_2023-12-12T12-42-05.129692.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": 0.6100718716052655, "acc_stderr": 0.03311439179911609, "acc_norm": 0.6112562424256339, "acc_norm_stderr": 0.03378279812081705, "mc1": 0.48959608323133413, "mc1_stderr": 0.017499711430249264, "mc2": 0.6217820822805159, "mc2_stderr": 0.015655139839426707 }, "harness\|arc:challenge\|25": { "acc": 0.6578498293515358, "acc_stderr": 0.013864152159177275, "acc_norm": 0.7030716723549488, "acc_norm_stderr": 0.013352025976725227 }, "harness\|hellaswag\|10": { "acc": 0.6928898625771759, "acc_stderr": 0.004603527017557839, "acc_norm": 0.8743278231428002, "acc_norm_stderr": 0.0033080208244267903 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5407407407407407, "acc_stderr": 0.04304979692464241, "acc_norm": 0.5407407407407407, "acc_norm_stderr": 0.04304979692464241 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6381578947368421, "acc_stderr": 0.03910525752849724, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.03910525752849724 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.660377358490566, "acc_stderr": 0.02914690474779833, "acc_norm": 0.660377358490566, "acc_norm_stderr": 0.02914690474779833 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6736111111111112, "acc_stderr": 0.03921067198982266, "acc_norm": 0.6736111111111112, "acc_norm_stderr": 0.03921067198982266 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6242774566473989, "acc_stderr": 0.03692820767264866, "acc_norm": 0.6242774566473989, "acc_norm_stderr": 0.03692820767264866 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082636, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082636 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42063492063492064, "acc_stderr": 0.025424835086923996, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.025424835086923996 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4603174603174603, "acc_stderr": 0.04458029125470973, "acc_norm": 0.4603174603174603, "acc_norm_stderr": 0.04458029125470973 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7290322580645161, "acc_stderr": 0.025284416114900152, "acc_norm": 0.7290322580645161, "acc_norm_stderr": 0.025284416114900152 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175008, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175008 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.703030303030303, "acc_stderr": 0.0356796977226805, "acc_norm": 0.703030303030303, "acc_norm_stderr": 0.0356796977226805 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386417, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386417 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8549222797927462, "acc_stderr": 0.025416343096306405, "acc_norm": 0.8549222797927462, "acc_norm_stderr": 0.025416343096306405 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6230769230769231, "acc_stderr": 0.024570975364225995, "acc_norm": 0.6230769230769231, "acc_norm_stderr": 0.024570975364225995 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6974789915966386, "acc_stderr": 0.02983796238829194, "acc_norm": 0.6974789915966386, "acc_norm_stderr": 0.02983796238829194 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8055045871559633, "acc_stderr": 0.016970289090458033, "acc_norm": 0.8055045871559633, "acc_norm_stderr": 0.016970289090458033 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5046296296296297, "acc_stderr": 0.03409825519163572, "acc_norm": 0.5046296296296297, "acc_norm_stderr": 0.03409825519163572 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.75, "acc_stderr": 0.03039153369274154, "acc_norm": 0.75, "acc_norm_stderr": 0.03039153369274154 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7932489451476793, "acc_stderr": 0.026361651668389094, "acc_norm": 0.7932489451476793, "acc_norm_stderr": 0.026361651668389094 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6636771300448431, "acc_stderr": 0.031708824268455, "acc_norm": 0.6636771300448431, "acc_norm_stderr": 0.031708824268455 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7099236641221374, "acc_stderr": 0.03980066246467766, "acc_norm": 0.7099236641221374, "acc_norm_stderr": 0.03980066246467766 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7355371900826446, "acc_stderr": 0.040261875275912046, "acc_norm": 0.7355371900826446, "acc_norm_stderr": 0.040261875275912046 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6851851851851852, "acc_stderr": 0.04489931073591312, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.04489931073591312 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7177914110429447, "acc_stderr": 0.03536117886664743, "acc_norm": 0.7177914110429447, "acc_norm_stderr": 0.03536117886664743 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531771, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531771 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8162393162393162, "acc_stderr": 0.025372139671722933, "acc_norm": 0.8162393162393162, "acc_norm_stderr": 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"acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.48959608323133413, "mc1_stderr": 0.017499711430249264, "mc2": 0.6217820822805159, "mc2_stderr": 0.015655139839426707 }, "harness\|winogrande\|5": { "acc": 0.7916337805840569, "acc_stderr": 0.011414554399987738 }, "harness\|gsm8k\|5": { "acc": 0.5852918877937832, "acc_stderr": 0.013570623842304511 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.7441214919090271, -0.8874500393867493, 0.28048795461654663, 0.2187548726797104, -0.1742704063653946, -0.05235271155834198, 0.03894060477614403, -0.20871970057487488, 0.570848286151886, -0.02853304333984852, -0.4878396987915039, -0.6981114149093628, -0.46172505617141724, 0.27197131514549255, -0.03144074231386185, 0.8005158305168152, -0.1281457543373108, 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open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B	open-llm-leaderboard	2023-12-12T12:50:06Z	0	[ "region:us" ]	null	2023-12-12T12:49:26Z	--- pretty_name: Evaluation run of v1olet/v1olet_merged_dpo_7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [v1olet/v1olet_merged_dpo_7B](https://huggingface.co/v1olet/v1olet_merged_dpo_7B)\ \ 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_v1olet__v1olet_merged_dpo_7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T12:46:34.899299](https://huggingface.co/datasets/open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B/blob/main/results_2023-12-12T12-46-34.899299.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\": 0.6440679427811095,\n\ \ \"acc_stderr\": 0.03250447611787324,\n \"acc_norm\": 0.646485224747175,\n\ \ \"acc_norm_stderr\": 0.03316159386352293,\n \"mc1\": 0.5030599755201959,\n\ \ \"mc1_stderr\": 0.017503173260960625,\n \"mc2\": 0.6336908170998187,\n\ \ \"mc2_stderr\": 0.01575011120254939\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6766211604095563,\n \"acc_stderr\": 0.013669421630012136,\n\ \ \"acc_norm\": 0.7133105802047781,\n \"acc_norm_stderr\": 0.013214986329274783\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7018522206731727,\n\ \ \"acc_stderr\": 0.004565098421085227,\n \"acc_norm\": 0.8734315873332006,\n\ \ \"acc_norm_stderr\": 0.003318093579702922\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800886,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800886\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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-college_mathematics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\ \ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5659574468085107,\n \"acc_stderr\": 0.032400380867927465,\n\ \ \"acc_norm\": 0.5659574468085107,\n \"acc_norm_stderr\": 0.032400380867927465\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.02544636563440678,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.02544636563440678\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4126984126984127,\n\ \ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.4126984126984127,\n\ \ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7548387096774194,\n \"acc_stderr\": 0.024472243840895518,\n \"\ acc_norm\": 0.7548387096774194,\n \"acc_norm_stderr\": 0.024472243840895518\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.47783251231527096,\n \"acc_stderr\": 0.035145285621750094,\n \"\ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.035145285621750094\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\ : 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.02962022787479047,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.02962022787479047\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.023381935348121427,\n\ \ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.023381935348121427\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402534,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402534\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131147,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131147\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8220183486238533,\n \"acc_stderr\": 0.0163994363666129,\n \"acc_norm\"\ : 0.8220183486238533,\n \"acc_norm_stderr\": 0.0163994363666129\n },\n\ \ \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\": 0.5092592592592593,\n\ \ \"acc_stderr\": 0.034093869469927006,\n \"acc_norm\": 0.5092592592592593,\n\ \ \"acc_norm_stderr\": 0.034093869469927006\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.7990196078431373,\n \"acc_stderr\": 0.028125972265654373,\n\ \ \"acc_norm\": 0.7990196078431373,\n \"acc_norm_stderr\": 0.028125972265654373\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7085201793721974,\n\ \ \"acc_stderr\": 0.03050028317654584,\n \"acc_norm\": 0.7085201793721974,\n\ \ \"acc_norm_stderr\": 0.03050028317654584\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.03768335959728744,\n\ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.03768335959728744\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990945,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990945\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243839,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243839\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7116564417177914,\n \"acc_stderr\": 0.035590395316173425,\n\ \ \"acc_norm\": 0.7116564417177914,\n \"acc_norm_stderr\": 0.035590395316173425\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.047184714852195886,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.047184714852195886\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179333,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179333\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.014036945850381387,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.014036945850381387\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.708092485549133,\n \"acc_stderr\": 0.02447699407624734,\n\ \ \"acc_norm\": 0.708092485549133,\n \"acc_norm_stderr\": 0.02447699407624734\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.42793296089385474,\n\ \ \"acc_stderr\": 0.01654788799741611,\n \"acc_norm\": 0.42793296089385474,\n\ \ \"acc_norm_stderr\": 0.01654788799741611\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7320261437908496,\n \"acc_stderr\": 0.025360603796242557,\n\ \ \"acc_norm\": 0.7320261437908496,\n \"acc_norm_stderr\": 0.025360603796242557\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7106109324758842,\n\ \ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\ \ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4530638852672751,\n\ \ \"acc_stderr\": 0.012713845972358986,\n \"acc_norm\": 0.4530638852672751,\n\ \ \"acc_norm_stderr\": 0.012713845972358986\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6507352941176471,\n \"acc_stderr\": 0.028959755196824873,\n\ \ \"acc_norm\": 0.6507352941176471,\n \"acc_norm_stderr\": 0.028959755196824873\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6519607843137255,\n \"acc_stderr\": 0.019270998708223977,\n \ \ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.019270998708223977\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128445,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128445\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.02619392354445412,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.02619392354445412\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5030599755201959,\n\ \ \"mc1_stderr\": 0.017503173260960625,\n \"mc2\": 0.6336908170998187,\n\ \ \"mc2_stderr\": 0.01575011120254939\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8200473559589582,\n \"acc_stderr\": 0.01079646868806868\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.533737680060652,\n \ \ \"acc_stderr\": 0.01374109641222676\n }\n}\n```" repo_url: https://huggingface.co/v1olet/v1olet_merged_dpo_7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|arc:challenge\|25_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-12T12-46-34.899299.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|gsm8k\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hellaswag\|10_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-46-34.899299.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-12T12-46-34.899299.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '/details_harness\|winogrande\|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-12T12-46-34.899299.parquet' - config_name: results data_files: - split: 2023_12_12T12_46_34.899299 path: - results_2023-12-12T12-46-34.899299.parquet - split: latest path: - results_2023-12-12T12-46-34.899299.parquet --- # Dataset Card for Evaluation run of v1olet/v1olet_merged_dpo_7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [v1olet/v1olet_merged_dpo_7B](https://huggingface.co/v1olet/v1olet_merged_dpo_7B) 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_v1olet__v1olet_merged_dpo_7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T12:46:34.899299](https://huggingface.co/datasets/open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B/blob/main/results_2023-12-12T12-46-34.899299.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": 0.6440679427811095, "acc_stderr": 0.03250447611787324, "acc_norm": 0.646485224747175, "acc_norm_stderr": 0.03316159386352293, "mc1": 0.5030599755201959, "mc1_stderr": 0.017503173260960625, "mc2": 0.6336908170998187, "mc2_stderr": 0.01575011120254939 }, "harness\|arc:challenge\|25": { "acc": 0.6766211604095563, "acc_stderr": 0.013669421630012136, "acc_norm": 0.7133105802047781, "acc_norm_stderr": 0.013214986329274783 }, "harness\|hellaswag\|10": { "acc": 0.7018522206731727, "acc_stderr": 0.004565098421085227, "acc_norm": 0.8734315873332006, "acc_norm_stderr": 0.003318093579702922 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6830188679245283, "acc_stderr": 0.028637235639800886, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.028637235639800886 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.75, "acc_stderr": 0.03621034121889507, "acc_norm": 0.75, "acc_norm_stderr": 0.03621034121889507 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4411764705882353, "acc_stderr": 0.049406356306056595, "acc_norm": 0.4411764705882353, "acc_norm_stderr": 0.049406356306056595 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5659574468085107, "acc_stderr": 0.032400380867927465, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.032400380867927465 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555498, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555498 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42328042328042326, "acc_stderr": 0.02544636563440678, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.02544636563440678 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4126984126984127, "acc_stderr": 0.04403438954768176, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.04403438954768176 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7548387096774194, "acc_stderr": 0.024472243840895518, "acc_norm": 0.7548387096774194, "acc_norm_stderr": 0.024472243840895518 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.47783251231527096, "acc_stderr": 0.035145285621750094, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.035145285621750094 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7757575757575758, "acc_stderr": 0.032568666616811015, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.032568666616811015 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.02962022787479047, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.02962022787479047 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8808290155440415, "acc_stderr": 0.023381935348121427, "acc_norm": 0.8808290155440415, "acc_norm_stderr": 0.023381935348121427 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402534, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402534 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131147, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131147 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.680672268907563, "acc_stderr": 0.030283995525884396, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.030283995525884396 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8220183486238533, "acc_stderr": 0.0163994363666129, "acc_norm": 0.8220183486238533, "acc_norm_stderr": 0.0163994363666129 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7990196078431373, "acc_stderr": 0.028125972265654373, "acc_norm": 0.7990196078431373, "acc_norm_stderr": 0.028125972265654373 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7805907172995781, "acc_stderr": 0.026939106581553945, "acc_norm": 0.7805907172995781, "acc_norm_stderr": 0.026939106581553945 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7085201793721974, "acc_stderr": 0.03050028317654584, "acc_norm": 0.7085201793721974, "acc_norm_stderr": 0.03050028317654584 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7557251908396947, "acc_stderr": 0.03768335959728744, "acc_norm": 0.7557251908396947, "acc_norm_stderr": 0.03768335959728744 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990945, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990945 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243839, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243839 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7116564417177914, "acc_stderr": 0.035590395316173425, "acc_norm": 0.7116564417177914, "acc_norm_stderr": 0.035590395316173425 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.44642857142857145, "acc_stderr": 0.047184714852195886, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.047184714852195886 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.039891398595317706, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.039891398595317706 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179333, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179333 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.80970625798212, "acc_stderr": 0.014036945850381387, "acc_norm": 0.80970625798212, "acc_norm_stderr": 0.014036945850381387 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.708092485549133, "acc_stderr": 0.02447699407624734, "acc_norm": 0.708092485549133, "acc_norm_stderr": 0.02447699407624734 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.42793296089385474, "acc_stderr": 0.01654788799741611, "acc_norm": 0.42793296089385474, "acc_norm_stderr": 0.01654788799741611 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7320261437908496, "acc_stderr": 0.025360603796242557, "acc_norm": 0.7320261437908496, "acc_norm_stderr": 0.025360603796242557 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7106109324758842, "acc_stderr": 0.025755865922632945, "acc_norm": 0.7106109324758842, "acc_norm_stderr": 0.025755865922632945 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7160493827160493, "acc_stderr": 0.025089478523765137, "acc_norm": 0.7160493827160493, "acc_norm_stderr": 0.025089478523765137 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5070921985815603, "acc_stderr": 0.02982449855912901, "acc_norm": 0.5070921985815603, "acc_norm_stderr": 0.02982449855912901 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4530638852672751, "acc_stderr": 0.012713845972358986, "acc_norm": 0.4530638852672751, "acc_norm_stderr": 0.012713845972358986 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6507352941176471, "acc_stderr": 0.028959755196824873, "acc_norm": 0.6507352941176471, "acc_norm_stderr": 0.028959755196824873 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6519607843137255, "acc_stderr": 0.019270998708223977, "acc_norm": 0.6519607843137255, "acc_norm_stderr": 0.019270998708223977 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6818181818181818, "acc_stderr": 0.04461272175910509, "acc_norm": 0.6818181818181818, "acc_norm_stderr": 0.04461272175910509 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.726530612244898, "acc_stderr": 0.028535560337128445, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.028535560337128445 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.835820895522388, "acc_stderr": 0.02619392354445412, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.02619392354445412 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5030599755201959, "mc1_stderr": 0.017503173260960625, "mc2": 0.6336908170998187, "mc2_stderr": 0.01575011120254939 }, "harness\|winogrande\|5": { "acc": 0.8200473559589582, "acc_stderr": 0.01079646868806868 }, "harness\|gsm8k\|5": { "acc": 0.533737680060652, "acc_stderr": 0.01374109641222676 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]	[ -0.772427499294281, -0.8468728065490723, 0.28130945563316345, 0.2179023176431656, -0.19953350722789764, -0.06395957618951797, 0.06695187091827393, -0.21602129936218262, 0.572258472442627, -0.06076904386281967, -0.5296483039855957, -0.6677164435386658, -0.4556446671485901, 0.23080293834209442, -0.027117392048239708, 0.8095160126686096, -0.15180523693561554, 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MatsuoDochiai/Roxy	MatsuoDochiai	2023-12-12T12:56:03Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T12:53:14Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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AshtonLKY/resampled_audio_morethan4	AshtonLKY	2023-12-12T13:14:28Z	0	[ "region:us" ]	null	2023-12-12T13:07:42Z	--- dataset_info: features: - name: audio dtype: audio - name: transcript dtype: string splits: - name: train num_bytes: 3245378777.43 num_examples: 21690 download_size: 3671209553 dataset_size: 3245378777.43 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 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derexHf/MathInstruct	derexHf	2023-12-12T13:28:22Z	1	[ "region:us" ]	null	2023-12-12T13:28:20Z	--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 2992439 num_examples: 1000 download_size: 1311974 dataset_size: 2992439 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, 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felixz/open_leaderboard_dataset	felixz	2023-12-12T13:36:03Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T13:36:03Z	--- license: apache-2.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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derexHf/MathInstructTop2K	derexHf	2023-12-12T13:40:05Z	0	[ "region:us" ]	null	2023-12-12T13:40:02Z	--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 5591391 num_examples: 2000 download_size: 2494977 dataset_size: 5591391 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.12853382527828217, -0.18616759777069092, 0.6529127359390259, 0.4943622946739197, -0.19319312274456024, 0.2360745370388031, 0.36071982979774475, 0.0505632609128952, 0.5793654322624207, 0.7400140166282654, -0.6508103609085083, -0.23783966898918152, -0.7102251052856445, -0.04782608151435852, -0.38947516679763794, 0.8470764756202698, -0.09598269313573837, 0.024005070328712463, 0.047120124101638794, -0.1431782990694046, -0.6121039390563965, -0.047717586159706116, -1.0524537563323975, -0.06787474453449249, 0.30022820830345154, 0.5120974779129028, 0.8275898694992065, 0.39602941274642944, 0.503056526184082, 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jbilcke-hf/ai-tube-fail-diffusion	jbilcke-hf	2023-12-12T23:13:03Z	0	[ "license:cc-by-nc-sa-4.0", "region:us" ]	null	2023-12-12T13:46:46Z	--- license: cc-by-nc-sa-4.0 pretty_name: Fail Diffusion --- ## Description A compilation of the best latent workplace fails and other funny events caught during neural network training! ## Model SVD ## Style Security camera footage, security footage, fisheye camera, funny fail ## Voice Cloée ## Prompt A video channel which generates virtual security cam footage, of workplace fails, funny animals doing weird things, door cams, close calls, etc Examples includes, but are not limited to: servers or delivery people making fragile things fall and break, demolition going wrong, people slipping, hitting transparent windows, people forgetting the brakes on their car, animals doing funny things eg cats missing their jumps, and so on. The channel should not show dangerous accidents, death, or dangerous behavior that children could reproduce at home (eg. playing with fire). Instead, the content of the videos should be moderated, and be mild in its violence. Eg. a video of someone falling is okay, but someone beating someone else is NOT! we do not want to see gratuitous violence, hate or gore accidents! In the same way, the content should not be sexist, sexual in nature, hateful, making fun of famous people, communities, cultures or religions.	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testozgun/audio	testozgun	2023-12-12T13:56:24Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T13:55:13Z	--- license: apache-2.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, -0.38104113936424255, 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polinaeterna/cail2018	polinaeterna	2023-12-12T14:54:38Z	0	[ "region:us" ]	null	2023-12-12T14:37:46Z	--- dataset_info: features: - name: fact dtype: string - name: relevant_articles sequence: int32 - name: accusation sequence: string - name: punish_of_money dtype: float32 - name: criminals sequence: string - name: death_penalty dtype: bool - name: imprisonment dtype: float32 - name: life_imprisonment dtype: bool splits: - name: exercise_contest_train num_bytes: 220112348 num_examples: 154592 - name: exercise_contest_valid num_bytes: 21702109 num_examples: 17131 - name: exercise_contest_test num_bytes: 41057538 num_examples: 32508 - name: first_stage_train num_bytes: 1779653382 num_examples: 1710856 - name: first_stage_test num_bytes: 244334666 num_examples: 217016 - name: final_test num_bytes: 44194611 num_examples: 35922 download_size: 1167865756 dataset_size: 2351054654 configs: - config_name: default data_files: - split: exercise_contest_train path: data/exercise_contest_train-* - split: exercise_contest_valid path: data/exercise_contest_valid-* - split: exercise_contest_test path: data/exercise_contest_test-* - split: first_stage_train path: data/first_stage_train-* - split: first_stage_test path: data/first_stage_test-* - split: final_test path: data/final_test-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 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Rafael17/trevorvoice	Rafael17	2023-12-12T14:47:17Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T14:46:01Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, -0.38104113936424255, 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Marcus12/bulunamayanlar	Marcus12	2023-12-12T15:02:06Z	0	[ "task_categories:token-classification", "size_categories:n<1K", "language:tr", "language:en", "not-for-all-audiences", "region:us" ]	[ "token-classification" ]	2023-12-12T14:47:32Z	--- task_categories: - token-classification language: - tr - en tags: - not-for-all-audiences size_categories: - n<1K ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, 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Seongill/squad_conflict_v2_under_150_with_substitution_chunked_with_wiki_similar	Seongill	2023-12-12T15:02:14Z	0	[ "region:us" ]	null	2023-12-12T15:01:49Z	--- dataset_info: features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string - name: masked_query dtype: string - name: query_embedding sequence: float64 - name: ent_type dtype: string - name: answer dtype: string - name: random_answer dtype: string - name: similar_answer dtype: string - name: rewritten_context dtype: string - name: has_answer dtype: bool - name: answer_sent dtype: string - name: rewritten_answer_sent dtype: string - name: answer_chunk dtype: string - name: rewritten_answer_chunk dtype: string - name: wiki_similar dtype: string splits: - name: train num_bytes: 238555780 num_examples: 25866 download_size: 153713075 dataset_size: 238555780 configs: - config_name: default data_files: - split: 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tyzhu/wikitext-103-raw-v1-sent-permute-1	tyzhu	2023-12-12T15:17:11Z	0	[ "region:us" ]	null	2023-12-12T15:15:49Z	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1091572850 num_examples: 3602699 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 631581820 dataset_size: 1094037226 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.3424501121044159, -0.0615113340318203, -0.06870996952056885, 0.6665383577346802, -0.3027096688747406, -0.026749908924102783, 0.37631699442863464, -0.07293087244033813, 0.9616743922233582, 0.47756877541542053, -1.2788771390914917, -0.5877508521080017, 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tyzhu/wikitext-103-raw-v1-sent-permute-3	tyzhu	2023-12-12T15:18:55Z	0	[ "region:us" ]	null	2023-12-12T15:17:17Z	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2181716652 num_examples: 7205397 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 1264108325 dataset_size: 2184181028 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.2999766170978546, -0.002326207933947444, 0.07389151304960251, 0.686470627784729, -0.2505996823310852, -0.06432726234197617, 0.4183444082736969, -0.15971225500106812, 0.8440107107162476, 0.47018614411354065, -1.1583343744277954, -0.568193793296814, 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tyzhu/wikitext-103-raw-v1-sent-permute-5	tyzhu	2023-12-12T15:21:24Z	0	[ "region:us" ]	null	2023-12-12T15:19:03Z	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 3271860454 num_examples: 10808095 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 1896601051 dataset_size: 3274324830 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.34844452142715454, 0.06282902508974075, -0.0014155737590044737, 0.6512377262115479, -0.28477030992507935, -0.0035450600553303957, 0.36920419335365295, -0.15906478464603424, 0.8422482013702393, 0.4267618954181671, -1.2408374547958374, -0.6319077014923096, 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otavinshow/minhavoz	otavinshow	2023-12-12T15:26:53Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T15:25:01Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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collabora/whisper-hindi-preprocessed-no-augment	collabora	2023-12-12T18:33:21Z	0	[ "region:us" ]	null	2023-12-12T16:15:32Z	--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: input_length dtype: float64 - name: labels sequence: int64 splits: - name: train num_bytes: 421401404249.4386 num_examples: 437874 - name: test num_bytes: 2093443544.0 num_examples: 2179 download_size: 202586142370 dataset_size: 423494847793.4386 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, 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Dacavi/hindi-dataset	Dacavi	2023-12-13T19:32:11Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T16:18:54Z	--- license: apache-2.0 dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 6283293032 num_examples: 6540 - name: test num_bytes: 2780330000 num_examples: 2894 download_size: 1532686989 dataset_size: 9063623032 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, 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streami/bwollehlah	streami	2023-12-12T16:41:08Z	0	[ "license:other", "region:us" ]	null	2023-12-12T16:28:15Z	--- license: other license_name: ganzerfilme license_link: LICENSE ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 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Vinnyyw/Belinda	Vinnyyw	2023-12-12T16:42:11Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T16:40:32Z	--- license: openrail ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, -0.38104113936424255, 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KSU-HW-SEC/LLM4SecHW-OSHD	KSU-HW-SEC	2023-12-14T02:38:03Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T16:41:32Z	--- license: apache-2.0 --- # Open-source Hardware Debug(OSHD) Dataset ## Major contributors: * Mr. Weimin Fu (Kansas State University) * Dr. Kaichen Yang (Michigan Technological University) * Dr. Raj Gautam Dutta (Silicon Assurance) * Dr. Xiaolong Guo (Kansas State University) * Dr. Gang Qu (University of Maryland) ✉ Correspondence to: Weimin Fu ([email protected]) or Xiaolong Guo ([email protected]) ## Citation Information Please cite the following paper when using the OSHD Dataset. ``` @article{fu2023llm4sechw, title={LLM4SecHW: Leavering Domain-Specific Large Language Model for Hardware Debugging}, author={Fu, Weimin and Yang, Kaichen and Dutta, Raj Gautam and Guo, Xiaolong and Qu, Gang}, journal={Asian Hardware Oriented Security and Trust (AsianHOST)}, year={2023} } ``` ### Update from our group for Hardware domain-specific LLM: Blog: [Large Language Model for Hardware Security](https://ece.k-state.edu/research/hardware-security/llm.html) HomePage: [Hardware Security Lab](https://ece.k-state.edu/research/hardware-security/) ## Introduction The Open-source Hardware Debug Dataset is a meticulously curated collection of information extracted and cleansed from the version control systems of various popular open-source hardware designs. This dataset is designed to aid in the development and fine-tuning of Language Models (LLMs) for hardware debugging tasks. ### Dataset Utilization in Research This dataset has been prominently utilized in the [research paper](https://ece.k-state.edu/research/hardware-security/papers/AsianHost_LLMs_Debug_2023_CR.pdf): Fu, W., Yang, K., Dutta, R. G., Guo, X., & Qu, G. (2023). LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging. Asian Hardware Oriented Security and Trust (AsianHOST). ## Dataset Composition Our dataset includes data from several renowned open-source hardware projects, such as: - Pulp: [GitHub - Pulp Platform](https://github.com/pulp-platform/pulp) - darkriscv: [GitHub - darklife](https://github.com/darklife/darkriscv) - OpenPiton: [GitHub - Princeton University](https://github.com/PrincetonUniversity/openpiton) - CVA6: [GitHub - OpenHW Group](https://github.com/openhwgroup/cva6) - mor1kx: [GitHub - OpenRISC](https://github.com/openrisc/mor1kx) - Ibex: [GitHub - lowRISC](https://github.com/lowRISC/ibex) - OpenTitan: [GitHub - lowRISC](https://github.com/lowRISC/opentitan) ## Building Process The dataset building starts with issues labeled as 'Bug'. By analyzing the dialogue within these issues and identifying associated pull requests (PRs), we locate the PR corresponding to each issue. Each PR includes 'Files changed' information, enabling us to identify the modified hardware design source code, its path, the version before and after the modification, and the modification itself (patch). ## Supported Tasks This dataset is particularly tailored for fine-tuning Language Learning Models (LLMs) in hardware debugging tasks. ## Dataset Structure The dataset is available in two versions: - Version 1 includes modifications in hardware projects written in Verilog language. - Version 2 encompasses code modifications marked as BUG fixes, traced through the complete issue-PR-file change pathway. ## Examples Version 1 Example: ```json { "filename": "bhv/cv32e40s_rvfi.sv", "before": "// Copyright (c) 2020 OpenHW Group\n//\n//.....", "after": "// Copyright (c) 2020 OpenHW Group\n//\n//.....", "commit_message": "Merge pull request #468 from silabs-oysteink/s", "pull_number": "468", "pull_title": "Fix for issue where rvfi_intr could have the w...", "pull_body": "Resetting 'dummy_suppressed_intr' if a new int..." } ``` Version 2 Example: ```json { "filename": "corev_apu/tb/ariane_...", "before": "/* Copyright 2018 ET...", "after": "/* Copyright 2018 ET...", "commit_message": "AXI master in Ariane...", "pull_number": 1182, "pull_title": "Add AXI parameter in...", "pull_body": "The axi stuctures we...", "repo_name": "openhwgroup/cva6", "commit_sha": "3919983fdf96b152a877...", "patch": "@@ -17,15 +17,12 @@\n...", "Issue title": "[BUG] rvfi_pkg dupli...", "Issue Body": "### Is there an exis...", "Issue labels": "Type:Bug", "Comments": "JeanRochCoulon: Good..." } ``` ## Data Fields The Open-source Hardware Debug Dataset consists of the following fields in its JSON structure, providing comprehensive information about each code modification: 1. Filename: The path and name of the file that was modified in the hardware project. 2. Before: The content of the file before the modification, typically showing the original code or configuration. 3. After: The content of the file after the modification, illustrating the changes made. 4. Commit Message: A brief description of the changes made, usually associated with the commit in version control systems. 5. Pull Number: The unique identifier of the pull request on the project’s repository that contains the modification. 6. Pull Title: The title of the pull request, often summarizing the nature or purpose of the change. 7. Pull Body: A detailed description provided in the pull request, explaining the reason for the change, its impact, and any additional context. 8. Repo Name: The name of the repository where the modification occurred, providing a reference to the source project. 9. Commit SHA: The SHA (Secure Hash Algorithm) identifier of the commit, offering a precise reference to the specific change in the project’s history. 10. Patch: A detailed view of the changes made in the file, represented in diff format, showing exactly what was added, removed, or altered. 11. Issue Title: The title of the issue related to the bug that the modification addresses. 12. Issue Body: The detailed description of the issue, providing insights into the problem that prompted the modification. 13. Issue Labels: Tags or labels assigned to the issue, such as "Type:Bug," helping to categorize and prioritize the issue. 14. Comments: Any comments made on the issue, offering additional perspectives or discussions related to the modification. This comprehensive set of data fields ensures that users of the dataset have a thorough understanding of each modification, its context, and its implications, making it an invaluable resource for debugging and improving hardware designs. ## Data Splits Each configuration contains a single training split. ## Acknowledgment Portions of this work were supported by the National Science Foundation (CCF-2019310, First Award Program of ARISE in EPSCoR 2148878). ## License This dataset is made available under the Apache License, Version 2.0 (Apache-2.0). The Apache 2.0 License is a permissive open-source license that allows for broad use, modification, and distribution of the licensed software. Key points of the Apache 2.0 License include: - Permissiveness: This license allows for the use, reproduction, modification, distribution, and sublicensing of the software, both in source and binary forms. - Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. - State Changes: If you modify the software, you must clearly indicate your changes. - No Warranty: The software is provided "as is" without any warranties. For the full terms and conditions, as well as further details, please refer to the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) official webpage.	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louisbrulenaudet/dac6-instruct	louisbrulenaudet	2023-12-12T16:58:21Z	0	[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:n<1K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "tax", "llm", "fiscal", "cgi", "DAC6", "DAC6 – directive 2018/822 du Conseil du 25 mai 2018 relative à l’échange automatique et obligatoire d’informations dans le domaine fiscal", "doi:10.57967/hf/1452", "region:us" ]	[ "text-generation", "table-question-answering", "summarization", "conversational" ]	2023-12-12T16:53:30Z	--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - tax - llm - fiscal - cgi - DAC6 - >- DAC6 – directive 2018/822 du Conseil du 25 mai 2018 relative à l’échange automatique et obligatoire d’informations dans le domaine fiscal source_datasets: - original pretty_name: DAC6 task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - n<1K --- # DAC6 instruct (11-12-2023) “DAC 6” refers to European Council Directive (EU) 2018/822 of May 25, 2018 relating to the automatic and mandatory exchange of information on cross-border arrangements requiring declaration. It aims to strengthen cooperation between tax administrations in EU countries on potentially aggressive tax planning arrangements. This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for tax practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {DAC6 instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/dac6-instruct}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).	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panikos/nutrition5k_dataset	panikos	2023-12-12T17:01:46Z	0	[ "license:cc-by-4.0", "region:us" ]	null	2023-12-12T17:01:46Z	--- license: cc-by-4.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, 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Seongill/squad_adversarial_thres2	Seongill	2023-12-12T17:10:47Z	0	[ "region:us" ]	null	2023-12-12T17:10:33Z	--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: answer_sent dtype: string - name: new_answer_sent dtype: string - name: new_answer_chunk dtype: string - name: similar_answer dtype: string - name: answer_chunk dtype: string - name: query_embedding sequence: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 179441124 num_examples: 22978 download_size: 128700074 dataset_size: 179441124 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, 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CyberHarem/ilyukhina_irina_renaiflops	CyberHarem	2023-12-12T17:30:18Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T17:18:44Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Ilyukhina Irina This is the dataset of Ilyukhina Irina, containing 177 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 177 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 377 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 429 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 177 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 177 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 177 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 377 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 377 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 273 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 429 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 429 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.5915848016738892, -0.23921488225460052, 0.3412123918533325, 0.1766793429851532, -0.1809360533952713, -0.13771873712539673, 0.2139953225851059, -0.58857661485672, 0.638097882270813, 0.7359293699264526, -0.7336639165878296, 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polinaeterna/int_float	polinaeterna	2023-12-12T17:28:41Z	0	[ "region:us" ]	null	2023-12-12T17:27:02Z	--- dataset_info: features: - name: int dtype: int64 - name: float dtype: float64 splits: - name: train num_bytes: 1600000000 num_examples: 100000000 download_size: 1169918838 dataset_size: 1600000000 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.12853401899337769, -0.18616756796836853, 0.6529130935668945, 0.49436235427856445, -0.1931932121515274, 0.23607449233531952, 0.3607199192047119, 0.05056357383728027, 0.5793656706809998, 0.7400139570236206, -0.6508103609085083, -0.23783999681472778, -0.7102250456809998, -0.04782581701874733, -0.38947540521621704, 0.8470765352249146, -0.09598270058631897, 0.024004705250263214, 0.047120101749897, -0.1431782841682434, -0.6121039390563965, -0.047717079520225525, -1.0524539947509766, -0.0678747147321701, 0.3002282977104187, 0.5120975971221924, 0.8275898694992065, 0.396029531955719, 0.5030565857887268, 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polinaeterna/big_example	polinaeterna	2023-12-12T17:37:49Z	0	[ "region:us" ]	null	2023-12-12T17:37:39Z	--- dataset_info: features: - name: int dtype: int64 - name: float dtype: float64 - name: bool dtype: bool - name: string dtype: string - name: text dtype: string splits: - name: train num_bytes: 638874579 num_examples: 5000000 download_size: 86966133 dataset_size: 638874579 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.12853401899337769, -0.18616756796836853, 0.6529130935668945, 0.49436235427856445, -0.1931932121515274, 0.23607449233531952, 0.3607199192047119, 0.05056357383728027, 0.5793656706809998, 0.7400139570236206, -0.6508103609085083, -0.23783999681472778, -0.7102250456809998, -0.04782581701874733, -0.38947540521621704, 0.8470765352249146, -0.09598270058631897, 0.024004705250263214, 0.047120101749897, -0.1431782841682434, -0.6121039390563965, -0.047717079520225525, -1.0524539947509766, -0.0678747147321701, 0.3002282977104187, 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CyberHarem/bai_mongfa_renaiflops	CyberHarem	2023-12-12T18:03:08Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T17:45:07Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Bai Mongfa This is the dataset of Bai Mongfa, containing 164 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 164 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 366 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 439 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 164 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 164 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 164 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 366 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 366 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 301 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 439 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 439 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.5395110845565796, -0.5013181567192078, 0.3515823483467102, 0.2445286363363266, -0.19116061925888062, -0.19131799042224884, 0.3017878532409668, -0.5213779211044312, 0.7605994343757629, 0.6135834455490112, -0.7510006427764893, 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carlosfuy/sgdhfdde	carlosfuy	2023-12-12T18:04:53Z	0	[ "license:afl-3.0", "region:us" ]	null	2023-12-12T18:03:07Z	--- license: afl-3.0 ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, -1.0524537563323975, -0.06787490844726562, 0.3002279996871948, 0.5120974779129028, 0.8275896310806274, 0.3960292339324951, 0.5030564665794373, 1.7515558004379272, -0.08836928009986877, -0.22754442691802979, -0.4589202404022217, 0.42230692505836487, -0.33277368545532227, -0.4213372468948364, -0.26241639256477356, -0.07449338585138321, 0.32380396127700806, 0.7903713583946228, -0.38104113936424255, 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Dacavi/spanish-dataset	Dacavi	2023-12-13T20:36:27Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T18:09:17Z	--- license: apache-2.0 dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: test num_bytes: 96050672 num_examples: 100 - name: train num_bytes: 14897493976 num_examples: 15510 download_size: 3158166164 dataset_size: 14993544648 configs: - config_name: default data_files: - split: test path: data/train-* - split: train path: data/test-* ---	[ -0.1285337507724762, -0.186167910695076, 0.6529128551483154, 0.4943626821041107, -0.1931932419538498, 0.23607468605041504, 0.36071985960006714, 0.05056324973702431, 0.5793652534484863, 0.740013837814331, -0.6508103013038635, -0.23783960938453674, -0.710224986076355, -0.04782586544752121, -0.3894752264022827, 0.8470760583877563, -0.09598266333341599, 0.024004995822906494, 0.0471201166510582, -0.14317826926708221, -0.6121037602424622, -0.04771745204925537, 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CyberHarem/izumisawa_aoi_renaiflops	CyberHarem	2023-12-12T18:28:05Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T18:14:52Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Izumisawa Aoi This is the dataset of Izumisawa Aoi, containing 136 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 136 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 276 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 336 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 136 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 136 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 136 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 276 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 276 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 232 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 336 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 336 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.7011364102363586, -0.33166366815567017, 0.4763089716434479, 0.29862746596336365, -0.14919477701187134, -0.14059987664222717, 0.2271297127008438, -0.5971586108207703, 0.640735387802124, 0.7462265491485596, -0.871306836605072, 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jaystoneshi/mus	jaystoneshi	2023-12-14T15:44:09Z	0	[ "license:apache-2.0", "region:us" ]	null	2023-12-12T18:21:47Z	--- license: apache-2.0 ---	[ -0.12853401899337769, -0.18616756796836853, 0.6529130935668945, 0.49436235427856445, -0.1931932121515274, 0.23607449233531952, 0.3607199192047119, 0.05056357383728027, 0.5793656706809998, 0.7400139570236206, -0.6508103609085083, -0.23783999681472778, -0.7102250456809998, -0.04782581701874733, -0.38947540521621704, 0.8470765352249146, -0.09598270058631897, 0.024004705250263214, 0.047120101749897, -0.1431782841682434, -0.6121039390563965, -0.047717079520225525, -1.0524539947509766, -0.0678747147321701, 0.3002282977104187, 0.5120975971221924, 0.8275898694992065, 0.396029531955719, 0.5030565857887268, 1.7515560388565063, -0.08836926519870758, -0.22754427790641785, -0.4589203894138336, 0.42230701446533203, -0.33277350664138794, -0.4213371276855469, -0.26241636276245117, -0.07449355721473694, 0.32380402088165283, 0.790371298789978, 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RustamovPY/books_dataset	RustamovPY	2023-12-12T18:41:30Z	0	[ "region:us" ]	null	2023-12-12T18:24:01Z	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: voice dtype: string - name: text dtype: string - name: speaker dtype: string splits: - name: train num_bytes: 168 num_examples: 3 download_size: 1810 dataset_size: 168 --- # Dataset Card for "books_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.48926612734794617, -0.032138723880052567, 0.011450809426605701, -0.07221382856369019, -0.2398410141468048, -0.09819834679365158, 0.3109431564807892, -0.030962781980633736, 0.5811790227890015, 0.6274768114089966, -0.8280813694000244, -0.8919931054115295, -0.5411756634712219, -0.2555083930492401, -0.2922408878803253, 1.4574131965637207, 0.2736595571041107, 0.08596371114253998, -0.6642621159553528, -0.1687454730272293, -0.45487451553344727, 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LLMLegalAssistant/datasets	LLMLegalAssistant	2023-12-17T15:00:59Z	0	[ "license:mit", "region:us" ]	null	2023-12-12T18:32:40Z	--- license: mit ---	[ -0.12853379547595978, -0.1861676573753357, 0.6529129147529602, 0.49436256289482117, -0.1931929588317871, 0.2360745668411255, 0.3607199192047119, 0.05056329071521759, 0.5793652534484863, 0.7400139570236206, -0.6508101224899292, -0.2378396987915039, -0.7102251052856445, -0.047825805842876434, -0.3894752264022827, 0.8470761775970459, -0.09598271548748016, 0.024005070328712463, 0.04712017625570297, -0.14317847788333893, -0.6121039390563965, -0.04771736264228821, -1.052453637123108, -0.06787490844726562, 0.3002278804779053, 0.5120974779129028, 0.8275895118713379, 0.39602914452552795, 0.5030565857887268, 1.7515559196472168, -0.0883692055940628, -0.22754433751106262, -0.4589202404022217, 0.4223068654537201, -0.33277350664138794, -0.4213371276855469, -0.2624165117740631, -0.07449345290660858, 0.3238039016723633, 0.7903713583946228, 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CyberHarem/izawa_ai_renaiflops	CyberHarem	2023-12-12T18:41:47Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T18:36:30Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Izawa Ai This is the dataset of Izawa Ai, containing 101 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 101 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 197 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 238 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 101 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 101 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 101 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 197 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 197 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 176 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 238 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 238 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.6865770220756531, -0.2822040915489197, 0.4932495057582855, 0.24265961349010468, -0.09330852329730988, -0.057314999401569366, 0.11551705747842789, -0.5360047817230225, 0.6158765554428101, 0.46093371510505676, -0.9551090598106384, 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Carlosgg14/piccolo	Carlosgg14	2023-12-12T18:44:29Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T18:40:44Z	--- license: openrail ---	[ -0.12853401899337769, -0.18616756796836853, 0.6529130935668945, 0.49436235427856445, -0.1931932121515274, 0.23607449233531952, 0.3607199192047119, 0.05056357383728027, 0.5793656706809998, 0.7400139570236206, -0.6508103609085083, -0.23783999681472778, -0.7102250456809998, -0.04782581701874733, -0.38947540521621704, 0.8470765352249146, -0.09598270058631897, 0.024004705250263214, 0.047120101749897, -0.1431782841682434, -0.6121039390563965, -0.047717079520225525, -1.0524539947509766, -0.0678747147321701, 0.3002282977104187, 0.5120975971221924, 0.8275898694992065, 0.396029531955719, 0.5030565857887268, 1.7515560388565063, -0.08836926519870758, -0.22754427790641785, -0.4589203894138336, 0.42230701446533203, -0.33277350664138794, -0.4213371276855469, -0.26241636276245117, -0.07449355721473694, 0.32380402088165283, 0.790371298789978, 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louisbrulenaudet/code-artisanat	louisbrulenaudet	2023-12-12T18:49:04Z	0	[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de l'artisanat", "doi:10.57967/hf/1457", "region:us" ]	[ "text-generation", "table-question-answering", "summarization", "conversational" ]	2023-12-12T18:49:02Z	--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de l'artisanat source_datasets: - original pretty_name: Code de l'artisanat task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de l'artisanat, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de l'artisanat, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-artisanat}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).	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Laethitia/GaaraIA	Laethitia	2023-12-12T18:55:25Z	0	[ "license:openrail", "region:us" ]	null	2023-12-12T18:54:08Z	--- license: openrail ---	[ -0.12853394448757172, -0.1861671805381775, 0.6529130339622498, 0.49436283111572266, -0.1931932270526886, 0.23607474565505981, 0.3607197403907776, 0.05056331306695938, 0.5793652534484863, 0.7400139570236206, -0.6508102416992188, -0.23783963918685913, -0.7102248668670654, -0.04782587289810181, -0.3894752860069275, 0.8470762968063354, -0.09598271548748016, 0.02400510013103485, 0.047119975090026855, -0.14317838847637177, -0.6121038198471069, -0.04771730303764343, -1.0524539947509766, -0.06787487864494324, 0.3002283573150635, 0.5120975971221924, 0.8275899291038513, 0.3960294723510742, 0.5030567049980164, 1.7515556812286377, -0.08836932480335236, -0.22754409909248352, -0.45892059803009033, 0.422306627035141, -0.33277350664138794, -0.42133671045303345, -0.2624160945415497, -0.0744936615228653, 0.32380393147468567, 0.7903714179992676, -0.3810412287712097, 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CyberHarem/istel_karin_renaiflops	CyberHarem	2023-12-12T19:00:48Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T18:58:13Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Istel Karin This is the dataset of Istel Karin, containing 193 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 193 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 437 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 495 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 193 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 193 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 193 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 437 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 437 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 358 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 495 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 495 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.7492634654045105, -0.21932215988636017, 0.43853268027305603, 0.26250287890434265, -0.22459223866462708, -0.15613652765750885, 0.16971281170845032, -0.5784961581230164, 0.7842368483543396, 0.7908059358596802, -0.8911802768707275, 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louisbrulenaudet/code-commande-publique	louisbrulenaudet	2023-12-12T18:59:40Z	0	[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de la commande publique", "doi:10.57967/hf/1458", "region:us" ]	[ "text-generation", "table-question-answering", "summarization", "conversational" ]	2023-12-12T18:59:37Z	--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de la commande publique source_datasets: - original pretty_name: Code de la commande publique task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de la commande publique, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de la commande publique, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-commande-publique}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).	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CyberHarem/feynman_yoshino_renaiflops	CyberHarem	2023-12-12T19:07:49Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T19:06:28Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Feynman Yoshino This is the dataset of Feynman Yoshino, containing 74 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 74 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 168 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 207 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 74 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 74 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 74 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 168 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 168 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 142 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 207 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 207 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.6138690710067749, -0.2826104164123535, 0.41679221391677856, 0.13108666241168976, -0.1948392689228058, -0.1982119232416153, 0.31434282660484314, -0.49373990297317505, 0.6989493370056152, 0.6828725934028625, -0.897489070892334, 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indra-inc/signature_genuine_forged_combined_cedar_beng_hindi	indra-inc	2023-12-12T20:16:58Z	0	[ "region:us" ]	null	2023-12-12T19:08:54Z	--- dataset_info: features: - name: Label dtype: int64 - name: Anchor_Signature_Image dtype: image - name: Pos_Neg_Signature_Image dtype: image splits: - name: train num_bytes: 107817711375.17 num_examples: 214074 - name: valid num_bytes: 23059117558.956 num_examples: 45873 - name: test num_bytes: 23236559366.574 num_examples: 45873 download_size: 18518085261 dataset_size: 154113388300.7 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---	[ -0.12853401899337769, -0.18616756796836853, 0.6529130935668945, 0.49436235427856445, -0.1931932121515274, 0.23607449233531952, 0.3607199192047119, 0.05056357383728027, 0.5793656706809998, 0.7400139570236206, -0.6508103609085083, -0.23783999681472778, -0.7102250456809998, -0.04782581701874733, -0.38947540521621704, 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CyberHarem/irving_amelia_renaiflops	CyberHarem	2023-12-12T19:23:13Z	0	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	[ "text-to-image" ]	2023-12-12T19:20:49Z	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Irving Amelia This is the dataset of Irving Amelia, containing 165 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 165 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 364 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 399 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 165 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 165 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 165 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 364 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 364 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 279 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 399 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 399 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|	[ -0.5648089051246643, -0.43553417921066284, 0.5101445913314819, 0.14269031584262848, -0.1775609254837036, -0.10323689877986908, 0.10703814774751663, -0.7929095029830933, 0.9451953172683716, 0.7029903531074524, -0.7399182319641113, 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open-llm-leaderboard/details_rwitz2__pee

open-llm-leaderboard

2023-12-12T03:55:20Z

0

[ "region:us" ]

null

2023-12-12T03:54:29Z

--- pretty_name: Evaluation run of rwitz2/pee dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rwitz2/pee](https://huggingface.co/rwitz2/pee) 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_rwitz2__pee\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:51:33.544691](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__pee/blob/main/results_2023-12-12T03-51-33.544691.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\": 0.6542170997170107,\n\ \ \"acc_stderr\": 0.03207676007306859,\n \"acc_norm\": 0.6540988805189213,\n\ \ \"acc_norm_stderr\": 0.03274105444201814,\n \"mc1\": 0.4528763769889841,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6056136500975297,\n\ \ \"mc2_stderr\": 0.015324168216531053\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6689419795221843,\n \"acc_stderr\": 0.01375206241981784,\n\ \ \"acc_norm\": 0.6988054607508533,\n \"acc_norm_stderr\": 0.01340674176784764\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6868153754232225,\n\ \ \"acc_stderr\": 0.004628409084218762,\n \"acc_norm\": 0.8688508265285799,\n\ \ \"acc_norm_stderr\": 0.003368735434161383\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.65,\n\ \ \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.65,\n \ \ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.036146654241808254,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.036146654241808254\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\ \ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.025487187147859375,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.025487187147859375\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5079365079365079,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7774193548387097,\n \"acc_stderr\": 0.023664216671642518,\n \"\ acc_norm\": 0.7774193548387097,\n \"acc_norm_stderr\": 0.023664216671642518\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n \"\ acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.793939393939394,\n \"acc_stderr\": 0.0315841532404771,\n\ \ \"acc_norm\": 0.793939393939394,\n \"acc_norm_stderr\": 0.0315841532404771\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.02886977846026705,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.02886977846026705\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6820512820512821,\n \"acc_stderr\": 0.023610884308927865,\n\ \ \"acc_norm\": 0.6820512820512821,\n \"acc_norm_stderr\": 0.023610884308927865\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131147,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131147\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8495412844036697,\n \"acc_stderr\": 0.015328563932669237,\n \"\ acc_norm\": 0.8495412844036697,\n \"acc_norm_stderr\": 0.015328563932669237\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.8186274509803921,\n\ \ \"acc_stderr\": 0.027044621719474082,\n \"acc_norm\": 0.8186274509803921,\n\ \ \"acc_norm_stderr\": 0.027044621719474082\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944863,\n\ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944863\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179323,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179323\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662257,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662257\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7398843930635838,\n \"acc_stderr\": 0.023618678310069367,\n\ \ \"acc_norm\": 0.7398843930635838,\n \"acc_norm_stderr\": 0.023618678310069367\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4044692737430168,\n\ \ \"acc_stderr\": 0.01641444091729315,\n \"acc_norm\": 0.4044692737430168,\n\ \ \"acc_norm_stderr\": 0.01641444091729315\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\ \ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\ \ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48226950354609927,\n \"acc_stderr\": 0.02980873964223777,\n \ \ \"acc_norm\": 0.48226950354609927,\n \"acc_norm_stderr\": 0.02980873964223777\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4634941329856584,\n\ \ \"acc_stderr\": 0.012736153390214961,\n \"acc_norm\": 0.4634941329856584,\n\ \ \"acc_norm_stderr\": 0.012736153390214961\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6781045751633987,\n \"acc_stderr\": 0.018901015322093092,\n \ \ \"acc_norm\": 0.6781045751633987,\n \"acc_norm_stderr\": 0.018901015322093092\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4528763769889841,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6056136500975297,\n\ \ \"mc2_stderr\": 0.015324168216531053\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8176795580110497,\n \"acc_stderr\": 0.010851565594267198\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.709628506444276,\n \ \ \"acc_stderr\": 0.012503592481818952\n }\n}\n```" repo_url: https://huggingface.co/rwitz2/pee leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|arc:challenge|25_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T03-51-33.544691.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|gsm8k|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hellaswag|10_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-33.544691.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-33.544691.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-51-33.544691.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_51_33.544691 path: - '**/details_harness|winogrande|5_2023-12-12T03-51-33.544691.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T03-51-33.544691.parquet' - config_name: results data_files: - split: 2023_12_12T03_51_33.544691 path: - results_2023-12-12T03-51-33.544691.parquet - split: latest path: - results_2023-12-12T03-51-33.544691.parquet --- # Dataset Card for Evaluation run of rwitz2/pee  Dataset automatically created during the evaluation run of model [rwitz2/pee](https://huggingface.co/rwitz2/pee) 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_rwitz2__pee", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:51:33.544691](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__pee/blob/main/results_2023-12-12T03-51-33.544691.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": 0.6542170997170107, "acc_stderr": 0.03207676007306859, "acc_norm": 0.6540988805189213, "acc_norm_stderr": 0.03274105444201814, "mc1": 0.4528763769889841, "mc1_stderr": 0.01742558984831402, "mc2": 0.6056136500975297, "mc2_stderr": 0.015324168216531053 }, "harness|arc:challenge|25": { "acc": 0.6689419795221843, "acc_stderr": 0.01375206241981784, "acc_norm": 0.6988054607508533, "acc_norm_stderr": 0.01340674176784764 }, "harness|hellaswag|10": { "acc": 0.6868153754232225, "acc_stderr": 0.004628409084218762, "acc_norm": 0.8688508265285799, "acc_norm_stderr": 0.003368735434161383 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7283018867924528, "acc_stderr": 0.027377706624670713, "acc_norm": 0.7283018867924528, "acc_norm_stderr": 0.027377706624670713 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5957446808510638, "acc_stderr": 0.03208115750788684, "acc_norm": 0.5957446808510638, "acc_norm_stderr": 0.03208115750788684 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42857142857142855, "acc_stderr": 0.025487187147859375, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.025487187147859375 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5079365079365079, "acc_stderr": 0.044715725362943486, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.793939393939394, "acc_stderr": 0.0315841532404771, "acc_norm": 0.793939393939394, "acc_norm_stderr": 0.0315841532404771 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7929292929292929, "acc_stderr": 0.02886977846026705, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.02886977846026705 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9067357512953368, "acc_stderr": 0.02098685459328973, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.02098685459328973 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6820512820512821, "acc_stderr": 0.023610884308927865, "acc_norm": 0.6820512820512821, "acc_norm_stderr": 0.023610884308927865 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131147, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131147 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6848739495798319, "acc_stderr": 0.030176808288974337, "acc_norm": 0.6848739495798319, "acc_norm_stderr": 0.030176808288974337 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.03958027231121569, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.03958027231121569 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8495412844036697, "acc_stderr": 0.015328563932669237, "acc_norm": 0.8495412844036697, "acc_norm_stderr": 0.015328563932669237 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5277777777777778, "acc_stderr": 0.0340470532865388, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.0340470532865388 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8186274509803921, "acc_stderr": 0.027044621719474082, "acc_norm": 0.8186274509803921, "acc_norm_stderr": 0.027044621719474082 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944863, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944863 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.7572815533980582, "acc_stderr": 0.04245022486384495, "acc_norm": 0.7572815533980582, "acc_norm_stderr": 0.04245022486384495 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179323, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179323 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 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"harness|truthfulqa:mc|0": { "mc1": 0.4528763769889841, "mc1_stderr": 0.01742558984831402, "mc2": 0.6056136500975297, "mc2_stderr": 0.015324168216531053 }, "harness|winogrande|5": { "acc": 0.8176795580110497, "acc_stderr": 0.010851565594267198 }, "harness|gsm8k|5": { "acc": 0.709628506444276, "acc_stderr": 0.012503592481818952 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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open-llm-leaderboard/details_janhq__supermario-v1

open-llm-leaderboard

2023-12-12T03:55:52Z

0

[ "region:us" ]

null

2023-12-12T03:54:50Z

--- pretty_name: Evaluation run of janhq/supermario-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-v1](https://huggingface.co/janhq/supermario-v1) 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_janhq__supermario-v1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:51:54.393256](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v1/blob/main/results_2023-12-12T03-51-54.393256.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\": 0.2686365809879161,\n\ \ \"acc_stderr\": 0.030966991471902273,\n \"acc_norm\": 0.2702927883435164,\n\ \ \"acc_norm_stderr\": 0.031792363135365875,\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871093,\n \"mc2\": 0.472672099464425,\n\ \ \"mc2_stderr\": 0.016538310174069905\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.2295221843003413,\n \"acc_stderr\": 0.012288926760890773,\n\ \ \"acc_norm\": 0.2773037542662116,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.25473013343955386,\n\ \ \"acc_stderr\": 0.004348189459336535,\n \"acc_norm\": 0.2583150766779526,\n\ \ \"acc_norm_stderr\": 0.004368135676213557\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.22962962962962963,\n\ \ \"acc_stderr\": 0.03633384414073461,\n \"acc_norm\": 0.22962962962962963,\n\ \ \"acc_norm_stderr\": 0.03633384414073461\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.03842498559395268,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.03842498559395268\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.21,\n\ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.21,\n \ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2981132075471698,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.2981132075471698,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2638888888888889,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.2638888888888889,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \"acc_norm\"\ : 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3352601156069364,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.3352601156069364,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082633,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082633\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.20851063829787234,\n \"acc_stderr\": 0.026556982117838728,\n\ \ \"acc_norm\": 0.20851063829787234,\n \"acc_norm_stderr\": 0.026556982117838728\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\ \ \"acc_stderr\": 0.039994238792813344,\n \"acc_norm\": 0.23684210526315788,\n\ \ \"acc_norm_stderr\": 0.039994238792813344\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.2671957671957672,\n \"acc_stderr\": 0.022789673145776564,\n \"\ acc_norm\": 0.2671957671957672,\n \"acc_norm_stderr\": 0.022789673145776564\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.03861229196653694\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.3161290322580645,\n\ \ \"acc_stderr\": 0.02645087448904277,\n \"acc_norm\": 0.3161290322580645,\n\ \ \"acc_norm_stderr\": 0.02645087448904277\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.28078817733990147,\n \"acc_stderr\": 0.03161856335358609,\n\ \ \"acc_norm\": 0.28078817733990147,\n \"acc_norm_stderr\": 0.03161856335358609\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\"\ : 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.2545454545454545,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.2545454545454545,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.35353535353535354,\n \"acc_stderr\": 0.03406086723547153,\n \"\ acc_norm\": 0.35353535353535354,\n \"acc_norm_stderr\": 0.03406086723547153\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.36787564766839376,\n \"acc_stderr\": 0.03480175668466036,\n\ \ \"acc_norm\": 0.36787564766839376,\n \"acc_norm_stderr\": 0.03480175668466036\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.3641025641025641,\n \"acc_stderr\": 0.02439667298509477,\n \ \ \"acc_norm\": 0.3641025641025641,\n \"acc_norm_stderr\": 0.02439667298509477\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.026842057873833706,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.026842057873833706\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.3487394957983193,\n \"acc_stderr\": 0.03095663632856655,\n \ \ \"acc_norm\": 0.3487394957983193,\n \"acc_norm_stderr\": 0.03095663632856655\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.3486238532110092,\n \"acc_stderr\": 0.020431254090714328,\n \"\ acc_norm\": 0.3486238532110092,\n \"acc_norm_stderr\": 0.020431254090714328\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.2549019607843137,\n\ \ \"acc_stderr\": 0.030587591351604246,\n \"acc_norm\": 0.2549019607843137,\n\ \ \"acc_norm_stderr\": 0.030587591351604246\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.20253164556962025,\n \"acc_stderr\": 0.026160568246601457,\n\ \ \"acc_norm\": 0.20253164556962025,\n \"acc_norm_stderr\": 0.026160568246601457\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.10762331838565023,\n\ \ \"acc_stderr\": 0.020799400082879997,\n \"acc_norm\": 0.10762331838565023,\n\ \ \"acc_norm_stderr\": 0.020799400082879997\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.2824427480916031,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.2824427480916031,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.14049586776859505,\n \"acc_stderr\": 0.03172233426002161,\n \"\ acc_norm\": 0.14049586776859505,\n \"acc_norm_stderr\": 0.03172233426002161\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.21296296296296297,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.21296296296296297,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.2331288343558282,\n \"acc_stderr\": 0.033220157957767414,\n\ \ \"acc_norm\": 0.2331288343558282,\n \"acc_norm_stderr\": 0.033220157957767414\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.16071428571428573,\n\ \ \"acc_stderr\": 0.03485946096475741,\n \"acc_norm\": 0.16071428571428573,\n\ \ \"acc_norm_stderr\": 0.03485946096475741\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.3786407766990291,\n \"acc_stderr\": 0.04802694698258972,\n\ \ \"acc_norm\": 0.3786407766990291,\n \"acc_norm_stderr\": 0.04802694698258972\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19658119658119658,\n\ \ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.19658119658119658,\n\ \ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909281,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909281\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.20434227330779056,\n\ \ \"acc_stderr\": 0.0144191239809319,\n \"acc_norm\": 0.20434227330779056,\n\ \ \"acc_norm_stderr\": 0.0144191239809319\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.2138728323699422,\n \"acc_stderr\": 0.022075709251757183,\n\ \ \"acc_norm\": 0.2138728323699422,\n \"acc_norm_stderr\": 0.022075709251757183\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.27262569832402234,\n\ \ \"acc_stderr\": 0.014893391735249588,\n \"acc_norm\": 0.27262569832402234,\n\ \ \"acc_norm_stderr\": 0.014893391735249588\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.02609016250427905,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.02609016250427905\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.24115755627009647,\n\ \ \"acc_stderr\": 0.024296594034763426,\n \"acc_norm\": 0.24115755627009647,\n\ \ \"acc_norm_stderr\": 0.024296594034763426\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.22530864197530864,\n \"acc_stderr\": 0.023246202647819746,\n\ \ \"acc_norm\": 0.22530864197530864,\n \"acc_norm_stderr\": 0.023246202647819746\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.24113475177304963,\n \"acc_stderr\": 0.025518731049537762,\n \ \ \"acc_norm\": 0.24113475177304963,\n \"acc_norm_stderr\": 0.025518731049537762\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24445893089960888,\n\ \ \"acc_stderr\": 0.010976425013113886,\n \"acc_norm\": 0.24445893089960888,\n\ \ \"acc_norm_stderr\": 0.010976425013113886\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121593,\n\ \ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121593\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2173202614379085,\n \"acc_stderr\": 0.01668482092914859,\n \ \ \"acc_norm\": 0.2173202614379085,\n \"acc_norm_stderr\": 0.01668482092914859\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.22727272727272727,\n\ \ \"acc_stderr\": 0.04013964554072774,\n \"acc_norm\": 0.22727272727272727,\n\ \ \"acc_norm_stderr\": 0.04013964554072774\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.031362502409358936,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.031362502409358936\n \ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.26865671641791045,\n\ \ \"acc_stderr\": 0.03134328358208954,\n \"acc_norm\": 0.26865671641791045,\n\ \ \"acc_norm_stderr\": 0.03134328358208954\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.1927710843373494,\n\ \ \"acc_stderr\": 0.030709824050565274,\n \"acc_norm\": 0.1927710843373494,\n\ \ \"acc_norm_stderr\": 0.030709824050565274\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.17543859649122806,\n \"acc_stderr\": 0.029170885500727654,\n\ \ \"acc_norm\": 0.17543859649122806,\n \"acc_norm_stderr\": 0.029170885500727654\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871093,\n \"mc2\": 0.472672099464425,\n\ \ \"mc2_stderr\": 0.016538310174069905\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.4909234411996843,\n \"acc_stderr\": 0.014050170094497707\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-v1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|arc:challenge|25_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T03-51-54.393256.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|gsm8k|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hellaswag|10_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-54.393256.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-51-54.393256.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-51-54.393256.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_51_54.393256 path: - '**/details_harness|winogrande|5_2023-12-12T03-51-54.393256.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T03-51-54.393256.parquet' - config_name: results data_files: - split: 2023_12_12T03_51_54.393256 path: - results_2023-12-12T03-51-54.393256.parquet - split: latest path: - results_2023-12-12T03-51-54.393256.parquet --- # Dataset Card for Evaluation run of janhq/supermario-v1  Dataset automatically created during the evaluation run of model [janhq/supermario-v1](https://huggingface.co/janhq/supermario-v1) 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_janhq__supermario-v1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:51:54.393256](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v1/blob/main/results_2023-12-12T03-51-54.393256.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": 0.2686365809879161, "acc_stderr": 0.030966991471902273, "acc_norm": 0.2702927883435164, "acc_norm_stderr": 0.031792363135365875, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871093, "mc2": 0.472672099464425, "mc2_stderr": 0.016538310174069905 }, "harness|arc:challenge|25": { "acc": 0.2295221843003413, "acc_stderr": 0.012288926760890773, "acc_norm": 0.2773037542662116, "acc_norm_stderr": 0.013082095839059374 }, "harness|hellaswag|10": { "acc": 0.25473013343955386, "acc_stderr": 0.004348189459336535, "acc_norm": 0.2583150766779526, "acc_norm_stderr": 0.004368135676213557 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.22962962962962963, "acc_stderr": 0.03633384414073461, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.03633384414073461 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3355263157894737, "acc_stderr": 0.03842498559395268, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.03842498559395268 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2981132075471698, "acc_stderr": 0.028152837942493857, "acc_norm": 0.2981132075471698, "acc_norm_stderr": 0.028152837942493857 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082633, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082633 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.20851063829787234, "acc_stderr": 0.026556982117838728, "acc_norm": 0.20851063829787234, "acc_norm_stderr": 0.026556982117838728 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.039994238792813344, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.039994238792813344 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.022789673145776564, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.022789673145776564 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.03861229196653694, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653694 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3161290322580645, "acc_stderr": 0.02645087448904277, "acc_norm": 0.3161290322580645, "acc_norm_stderr": 0.02645087448904277 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.28078817733990147, "acc_stderr": 0.03161856335358609, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.03161856335358609 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2545454545454545, "acc_stderr": 0.03401506715249039, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.35353535353535354, "acc_stderr": 0.03406086723547153, "acc_norm": 0.35353535353535354, "acc_norm_stderr": 0.03406086723547153 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.36787564766839376, "acc_stderr": 0.03480175668466036, "acc_norm": 0.36787564766839376, "acc_norm_stderr": 0.03480175668466036 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3641025641025641, "acc_stderr": 0.02439667298509477, "acc_norm": 0.3641025641025641, "acc_norm_stderr": 0.02439667298509477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.026842057873833706 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.3487394957983193, "acc_stderr": 0.03095663632856655, "acc_norm": 0.3487394957983193, "acc_norm_stderr": 0.03095663632856655 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.3486238532110092, "acc_stderr": 0.020431254090714328, "acc_norm": 0.3486238532110092, "acc_norm_stderr": 0.020431254090714328 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4722222222222222, "acc_stderr": 0.0340470532865388, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.0340470532865388 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.2549019607843137, "acc_stderr": 0.030587591351604246, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.030587591351604246 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.20253164556962025, "acc_stderr": 0.026160568246601457, "acc_norm": 0.20253164556962025, "acc_norm_stderr": 0.026160568246601457 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.10762331838565023, "acc_stderr": 0.020799400082879997, "acc_norm": 0.10762331838565023, "acc_norm_stderr": 0.020799400082879997 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.2824427480916031, "acc_stderr": 0.03948406125768361, "acc_norm": 0.2824427480916031, "acc_norm_stderr": 0.03948406125768361 }, "harness|hendrycksTest-international_law|5": { "acc": 0.14049586776859505, "acc_stderr": 0.03172233426002161, "acc_norm": 0.14049586776859505, "acc_norm_stderr": 0.03172233426002161 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.21296296296296297, "acc_stderr": 0.0395783547198098, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.0395783547198098 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.2331288343558282, "acc_stderr": 0.033220157957767414, "acc_norm": 0.2331288343558282, "acc_norm_stderr": 0.033220157957767414 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.16071428571428573, "acc_stderr": 0.03485946096475741, "acc_norm": 0.16071428571428573, "acc_norm_stderr": 0.03485946096475741 }, "harness|hendrycksTest-management|5": { "acc": 0.3786407766990291, "acc_stderr": 0.04802694698258972, "acc_norm": 0.3786407766990291, "acc_norm_stderr": 0.04802694698258972 }, "harness|hendrycksTest-marketing|5": { "acc": 0.19658119658119658, "acc_stderr": 0.02603538609895129, "acc_norm": 0.19658119658119658, "acc_norm_stderr": 0.02603538609895129 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909281, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909281 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.20434227330779056, "acc_stderr": 0.0144191239809319, "acc_norm": 0.20434227330779056, "acc_norm_stderr": 0.0144191239809319 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.2138728323699422, "acc_stderr": 0.022075709251757183, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.022075709251757183 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.27262569832402234, "acc_stderr": 0.014893391735249588, "acc_norm": 0.27262569832402234, "acc_norm_stderr": 0.014893391735249588 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.29411764705882354, "acc_stderr": 0.02609016250427905, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.02609016250427905 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.24115755627009647, "acc_stderr": 0.024296594034763426, "acc_norm": 0.24115755627009647, "acc_norm_stderr": 0.024296594034763426 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.22530864197530864, "acc_stderr": 0.023246202647819746, "acc_norm": 0.22530864197530864, "acc_norm_stderr": 0.023246202647819746 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.24113475177304963, "acc_stderr": 0.025518731049537762, "acc_norm": 0.24113475177304963, "acc_norm_stderr": 0.025518731049537762 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.24445893089960888, "acc_stderr": 0.010976425013113886, "acc_norm": 0.24445893089960888, "acc_norm_stderr": 0.010976425013113886 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.4485294117647059, "acc_stderr": 0.030211479609121593, "acc_norm": 0.4485294117647059, "acc_norm_stderr": 0.030211479609121593 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.2173202614379085, "acc_stderr": 0.01668482092914859, "acc_norm": 0.2173202614379085, "acc_norm_stderr": 0.01668482092914859 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.22727272727272727, "acc_stderr": 0.04013964554072774, "acc_norm": 0.22727272727272727, "acc_norm_stderr": 0.04013964554072774 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.4, "acc_stderr": 0.031362502409358936, "acc_norm": 0.4, "acc_norm_stderr": 0.031362502409358936 }, "harness|hendrycksTest-sociology|5": { "acc": 0.26865671641791045, "acc_stderr": 0.03134328358208954, "acc_norm": 0.26865671641791045, "acc_norm_stderr": 0.03134328358208954 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-virology|5": { "acc": 0.1927710843373494, "acc_stderr": 0.030709824050565274, "acc_norm": 0.1927710843373494, "acc_norm_stderr": 0.030709824050565274 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.17543859649122806, "acc_stderr": 0.029170885500727654, "acc_norm": 0.17543859649122806, "acc_norm_stderr": 0.029170885500727654 }, "harness|truthfulqa:mc|0": { "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871093, "mc2": 0.472672099464425, "mc2_stderr": 0.016538310174069905 }, "harness|winogrande|5": { "acc": 0.4909234411996843, "acc_stderr": 0.014050170094497707 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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open-llm-leaderboard/details_Fredithefish__MadMix-v0.1

open-llm-leaderboard

2023-12-12T03:56:35Z

0

[ "region:us" ]

null

2023-12-12T03:55:48Z

--- pretty_name: Evaluation run of Fredithefish/MadMix-v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Fredithefish/MadMix-v0.1](https://huggingface.co/Fredithefish/MadMix-v0.1) 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_Fredithefish__MadMix-v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:52:52.102581](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__MadMix-v0.1/blob/main/results_2023-12-12T03-52-52.102581.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\": 0.643234247612221,\n\ \ \"acc_stderr\": 0.032109024933031964,\n \"acc_norm\": 0.6472045014183971,\n\ \ \"acc_norm_stderr\": 0.03274129253193244,\n \"mc1\": 0.3537331701346389,\n\ \ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.510505741411582,\n\ \ \"mc2_stderr\": 0.015407290000571205\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.621160409556314,\n \"acc_stderr\": 0.014175915490000326,\n\ \ \"acc_norm\": 0.6493174061433447,\n \"acc_norm_stderr\": 0.013944635930726097\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6555467038438558,\n\ \ \"acc_stderr\": 0.00474218516926477,\n \"acc_norm\": 0.8436566421031667,\n\ \ \"acc_norm_stderr\": 0.003624383120823458\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\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03782728980865469,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03782728980865469\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7430555555555556,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.7430555555555556,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ \ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.8032258064516129,\n\ \ \"acc_stderr\": 0.022616409420742025,\n \"acc_norm\": 0.8032258064516129,\n\ \ \"acc_norm_stderr\": 0.022616409420742025\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\ : 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.032876667586034906,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.032876667586034906\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.02150024957603346,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.02150024957603346\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.02399150050031304,\n \ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.02399150050031304\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8422018348623853,\n \"acc_stderr\": 0.015630022970092423,\n \"\ acc_norm\": 0.8422018348623853,\n \"acc_norm_stderr\": 0.015630022970092423\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.8235294117647058,\n\ \ \"acc_stderr\": 0.02675640153807897,\n \"acc_norm\": 0.8235294117647058,\n\ \ \"acc_norm_stderr\": 0.02675640153807897\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.8227848101265823,\n \"acc_stderr\": 0.024856364184503228,\n\ \ \"acc_norm\": 0.8227848101265823,\n \"acc_norm_stderr\": 0.024856364184503228\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7174887892376681,\n\ \ \"acc_stderr\": 0.030216831011508766,\n \"acc_norm\": 0.7174887892376681,\n\ \ \"acc_norm_stderr\": 0.030216831011508766\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.039578354719809805,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.039578354719809805\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.037601780060266196,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.037601780060266196\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8212005108556832,\n\ \ \"acc_stderr\": 0.013702643715368976,\n \"acc_norm\": 0.8212005108556832,\n\ \ \"acc_norm_stderr\": 0.013702643715368976\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.708092485549133,\n \"acc_stderr\": 0.02447699407624733,\n\ \ \"acc_norm\": 0.708092485549133,\n \"acc_norm_stderr\": 0.02447699407624733\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.38212290502793295,\n\ \ \"acc_stderr\": 0.01625113971157077,\n \"acc_norm\": 0.38212290502793295,\n\ \ \"acc_norm_stderr\": 0.01625113971157077\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958143,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958143\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.026160584450140446,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.026160584450140446\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7067901234567902,\n \"acc_stderr\": 0.025329888171900926,\n\ \ \"acc_norm\": 0.7067901234567902,\n \"acc_norm_stderr\": 0.025329888171900926\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.029736592526424438,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.029736592526424438\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45371577574967403,\n\ \ \"acc_stderr\": 0.01271540484127774,\n \"acc_norm\": 0.45371577574967403,\n\ \ \"acc_norm_stderr\": 0.01271540484127774\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.02767846864214472,\n\ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.02767846864214472\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000325,\n \ \ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000325\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7510204081632653,\n \"acc_stderr\": 0.027682979522960238,\n\ \ \"acc_norm\": 0.7510204081632653,\n \"acc_norm_stderr\": 0.027682979522960238\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\ \ \"acc_stderr\": 0.025538433368578327,\n \"acc_norm\": 0.845771144278607,\n\ \ \"acc_norm_stderr\": 0.025538433368578327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5602409638554217,\n\ \ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ \ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3537331701346389,\n\ \ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.510505741411582,\n\ \ \"mc2_stderr\": 0.015407290000571205\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663588\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4965883244882487,\n \ \ \"acc_stderr\": 0.013772164105556747\n }\n}\n```" repo_url: https://huggingface.co/Fredithefish/MadMix-v0.1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|arc:challenge|25_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T03-52-52.102581.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|gsm8k|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hellaswag|10_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-52-52.102581.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-52-52.102581.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-52-52.102581.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_52_52.102581 path: - '**/details_harness|winogrande|5_2023-12-12T03-52-52.102581.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T03-52-52.102581.parquet' - config_name: results data_files: - split: 2023_12_12T03_52_52.102581 path: - results_2023-12-12T03-52-52.102581.parquet - split: latest path: - results_2023-12-12T03-52-52.102581.parquet --- # Dataset Card for Evaluation run of Fredithefish/MadMix-v0.1  Dataset automatically created during the evaluation run of model [Fredithefish/MadMix-v0.1](https://huggingface.co/Fredithefish/MadMix-v0.1) 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_Fredithefish__MadMix-v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:52:52.102581](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__MadMix-v0.1/blob/main/results_2023-12-12T03-52-52.102581.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": 0.643234247612221, "acc_stderr": 0.032109024933031964, "acc_norm": 0.6472045014183971, "acc_norm_stderr": 0.03274129253193244, "mc1": 0.3537331701346389, "mc1_stderr": 0.016737814358846147, "mc2": 0.510505741411582, "mc2_stderr": 0.015407290000571205 }, "harness|arc:challenge|25": { "acc": 0.621160409556314, "acc_stderr": 0.014175915490000326, "acc_norm": 0.6493174061433447, "acc_norm_stderr": 0.013944635930726097 }, "harness|hellaswag|10": { "acc": 0.6555467038438558, "acc_stderr": 0.00474218516926477, "acc_norm": 0.8436566421031667, "acc_norm_stderr": 0.003624383120823458 }, "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": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.03782728980865469, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.03782728980865469 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7018867924528301, "acc_stderr": 0.028152837942493857, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493857 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7430555555555556, "acc_stderr": 0.03653946969442099, "acc_norm": 0.7430555555555556, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247078, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.548936170212766, "acc_stderr": 0.032529096196131965, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.032529096196131965 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04697085136647863, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04697085136647863 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4074074074074074, "acc_stderr": 0.02530590624159063, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.02530590624159063 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8032258064516129, "acc_stderr": 0.022616409420742025, "acc_norm": 0.8032258064516129, "acc_norm_stderr": 0.022616409420742025 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.032876667586034906, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.032876667586034906 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.02150024957603346, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.02150024957603346 }, "harness|hendrycksTest-high_school_macroeconomics|5": { 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"harness|truthfulqa:mc|0": { "mc1": 0.3537331701346389, "mc1_stderr": 0.016737814358846147, "mc2": 0.510505741411582, "mc2_stderr": 0.015407290000571205 }, "harness|winogrande|5": { "acc": 0.7719021310181531, "acc_stderr": 0.011793015817663588 }, "harness|gsm8k|5": { "acc": 0.4965883244882487, "acc_stderr": 0.013772164105556747 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More 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[More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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kevem/tocadovale

kevem

2023-12-12T03:58:52Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T03:55:50Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_rwitz2__ipo-test

open-llm-leaderboard

2023-12-12T03:57:07Z

0

[ "region:us" ]

null

2023-12-12T03:56:24Z

--- pretty_name: Evaluation run of rwitz2/ipo-test dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rwitz2/ipo-test](https://huggingface.co/rwitz2/ipo-test) 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_rwitz2__ipo-test\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T03:53:21.138621](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__ipo-test/blob/main/results_2023-12-12T03-53-21.138621.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\": 0.6543450273126857,\n\ \ \"acc_stderr\": 0.03191864171781636,\n \"acc_norm\": 0.6545137141283983,\n\ \ \"acc_norm_stderr\": 0.03257628315307556,\n \"mc1\": 0.39167686658506734,\n\ \ \"mc1_stderr\": 0.01708779588176963,\n \"mc2\": 0.558695592929387,\n\ \ \"mc2_stderr\": 0.015276769304708891\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175456,\n\ \ \"acc_norm\": 0.6791808873720137,\n \"acc_norm_stderr\": 0.013640943091946533\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6694881497709619,\n\ \ \"acc_stderr\": 0.004694360968929403,\n \"acc_norm\": 0.8598884684325832,\n\ \ \"acc_norm_stderr\": 0.003463933286063885\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.03761070869867479,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.03761070869867479\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7320754716981132,\n \"acc_stderr\": 0.027257260322494845,\n\ \ \"acc_norm\": 0.7320754716981132,\n \"acc_norm_stderr\": 0.027257260322494845\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7569444444444444,\n\ \ \"acc_stderr\": 0.035868792800803406,\n \"acc_norm\": 0.7569444444444444,\n\ \ \"acc_norm_stderr\": 0.035868792800803406\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6763005780346821,\n\ \ \"acc_stderr\": 0.035676037996391706,\n \"acc_norm\": 0.6763005780346821,\n\ \ \"acc_norm_stderr\": 0.035676037996391706\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6085106382978723,\n \"acc_stderr\": 0.03190701242326812,\n\ \ \"acc_norm\": 0.6085106382978723,\n \"acc_norm_stderr\": 0.03190701242326812\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.047028804320496165,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.047028804320496165\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.43915343915343913,\n \"acc_stderr\": 0.025559920550531003,\n \"\ acc_norm\": 0.43915343915343913,\n \"acc_norm_stderr\": 0.025559920550531003\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642518,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642518\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ : 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.029620227874790482,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.029620227874790482\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.362962962962963,\n \"acc_stderr\": 0.02931820364520686,\n \ \ \"acc_norm\": 0.362962962962963,\n \"acc_norm_stderr\": 0.02931820364520686\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.0302839955258844,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.0302839955258844\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658752,\n \"\ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658752\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5370370370370371,\n \"acc_stderr\": 0.03400603625538272,\n \"\ acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.03400603625538272\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8284313725490197,\n \"acc_stderr\": 0.02646056956124064,\n \"\ acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.02646056956124064\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290895,\n \ \ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290895\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313729,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313729\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990947,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990947\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.04718471485219588,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.04718471485219588\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608308,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608308\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7427745664739884,\n \"acc_stderr\": 0.023532925431044287,\n\ \ \"acc_norm\": 0.7427745664739884,\n \"acc_norm_stderr\": 0.023532925431044287\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4212290502793296,\n\ \ \"acc_stderr\": 0.01651367603117959,\n \"acc_norm\": 0.4212290502793296,\n\ \ \"acc_norm_stderr\": 0.01651367603117959\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\ \ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818767,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818767\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600712995,\n\ \ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600712995\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.46808510638297873,\n \"acc_stderr\": 0.029766675075873866,\n \ \ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.029766675075873866\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4680573663624511,\n\ \ \"acc_stderr\": 0.012744149704869647,\n \"acc_norm\": 0.4680573663624511,\n\ \ \"acc_norm_stderr\": 0.012744149704869647\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396556,\n\ \ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396556\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6699346405228758,\n \"acc_stderr\": 0.019023726160724553,\n \ \ \"acc_norm\": 0.6699346405228758,\n \"acc_norm_stderr\": 0.019023726160724553\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\ \ \"acc_stderr\": 0.024845753212306053,\n \"acc_norm\": 0.8557213930348259,\n\ \ \"acc_norm_stderr\": 0.024845753212306053\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.39167686658506734,\n\ \ \"mc1_stderr\": 0.01708779588176963,\n \"mc2\": 0.558695592929387,\n\ \ \"mc2_stderr\": 0.015276769304708891\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8089976322020521,\n \"acc_stderr\": 0.011047808761510427\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7202426080363912,\n \ \ \"acc_stderr\": 0.012364384016735319\n }\n}\n```" repo_url: https://huggingface.co/rwitz2/ipo-test leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|arc:challenge|25_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T03-53-21.138621.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|gsm8k|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hellaswag|10_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-53-21.138621.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T03-53-21.138621.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T03-53-21.138621.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T03_53_21.138621 path: - '**/details_harness|winogrande|5_2023-12-12T03-53-21.138621.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T03-53-21.138621.parquet' - config_name: results data_files: - split: 2023_12_12T03_53_21.138621 path: - results_2023-12-12T03-53-21.138621.parquet - split: latest path: - results_2023-12-12T03-53-21.138621.parquet --- # Dataset Card for Evaluation run of rwitz2/ipo-test  Dataset automatically created during the evaluation run of model [rwitz2/ipo-test](https://huggingface.co/rwitz2/ipo-test) 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_rwitz2__ipo-test", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T03:53:21.138621](https://huggingface.co/datasets/open-llm-leaderboard/details_rwitz2__ipo-test/blob/main/results_2023-12-12T03-53-21.138621.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": 0.6543450273126857, "acc_stderr": 0.03191864171781636, "acc_norm": 0.6545137141283983, "acc_norm_stderr": 0.03257628315307556, "mc1": 0.39167686658506734, "mc1_stderr": 0.01708779588176963, "mc2": 0.558695592929387, "mc2_stderr": 0.015276769304708891 }, "harness|arc:challenge|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175456, "acc_norm": 0.6791808873720137, "acc_norm_stderr": 0.013640943091946533 }, "harness|hellaswag|10": { "acc": 0.6694881497709619, "acc_stderr": 0.004694360968929403, "acc_norm": 0.8598884684325832, "acc_norm_stderr": 0.003463933286063885 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.03761070869867479, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.03761070869867479 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7320754716981132, "acc_stderr": 0.027257260322494845, "acc_norm": 0.7320754716981132, "acc_norm_stderr": 0.027257260322494845 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7569444444444444, "acc_stderr": 0.035868792800803406, "acc_norm": 0.7569444444444444, "acc_norm_stderr": 0.035868792800803406 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6763005780346821, "acc_stderr": 0.035676037996391706, "acc_norm": 0.6763005780346821, "acc_norm_stderr": 0.035676037996391706 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6085106382978723, "acc_stderr": 0.03190701242326812, "acc_norm": 0.6085106382978723, "acc_norm_stderr": 0.03190701242326812 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.047028804320496165, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.047028804320496165 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.43915343915343913, "acc_stderr": 0.025559920550531003, "acc_norm": 0.43915343915343913, "acc_norm_stderr": 0.025559920550531003 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7777777777777778, "acc_stderr": 0.029620227874790482, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.029620227874790482 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9119170984455959, "acc_stderr": 0.02045374660160103, "acc_norm": 0.9119170984455959, "acc_norm_stderr": 0.02045374660160103 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.362962962962963, "acc_stderr": 0.02931820364520686, "acc_norm": 0.362962962962963, "acc_norm_stderr": 0.02931820364520686 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.680672268907563, "acc_stderr": 0.0302839955258844, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.0302839955258844 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.32450331125827814, "acc_stderr": 0.03822746937658752, "acc_norm": 0.32450331125827814, "acc_norm_stderr": 0.03822746937658752 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8284313725490197, "acc_stderr": 0.02646056956124064, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.02646056956124064 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8059071729957806, "acc_stderr": 0.025744902532290895, "acc_norm": 0.8059071729957806, "acc_norm_stderr": 0.025744902532290895 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7786259541984732, "acc_stderr": 0.03641297081313729, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.03641297081313729 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990947, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990947 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8333333333333334, "acc_stderr": 0.036028141763926456, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.036028141763926456 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.44642857142857145, "acc_stderr": 0.04718471485219588, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.04718471485219588 }, "harness|hendrycksTest-management|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.02093019318517933 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8301404853128991, "acc_stderr": 0.013428186370608308, "acc_norm": 0.8301404853128991, "acc_norm_stderr": 0.013428186370608308 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7427745664739884, "acc_stderr": 0.023532925431044287, "acc_norm": 0.7427745664739884, "acc_norm_stderr": 0.023532925431044287 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4212290502793296, "acc_stderr": 0.01651367603117959, "acc_norm": 0.4212290502793296, "acc_norm_stderr": 0.01651367603117959 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7287581699346405, "acc_stderr": 0.02545775669666788, "acc_norm": 0.7287581699346405, "acc_norm_stderr": 0.02545775669666788 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818767, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818767 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7469135802469136, "acc_stderr": 0.024191808600712995, "acc_norm": 0.7469135802469136, "acc_norm_stderr": 0.024191808600712995 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.46808510638297873, "acc_stderr": 0.029766675075873866, "acc_norm": 0.46808510638297873, "acc_norm_stderr": 0.029766675075873866 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4680573663624511, "acc_stderr": 0.012744149704869647, "acc_norm": 0.4680573663624511, "acc_norm_stderr": 0.012744149704869647 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6727941176470589, "acc_stderr": 0.028501452860396556, "acc_norm": 0.6727941176470589, "acc_norm_stderr": 0.028501452860396556 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6699346405228758, "acc_stderr": 0.019023726160724553, "acc_norm": 0.6699346405228758, "acc_norm_stderr": 0.019023726160724553 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7224489795918367, "acc_stderr": 0.02866685779027465, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.02866685779027465 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8557213930348259, "acc_stderr": 0.024845753212306053, "acc_norm": 0.8557213930348259, "acc_norm_stderr": 0.024845753212306053 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.03487350880197769, "acc_norm": 0.86, "acc_norm_stderr": 0.03487350880197769 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.39167686658506734, "mc1_stderr": 0.01708779588176963, "mc2": 0.558695592929387, "mc2_stderr": 0.015276769304708891 }, "harness|winogrande|5": { "acc": 0.8089976322020521, "acc_stderr": 0.011047808761510427 }, "harness|gsm8k|5": { "acc": 0.7202426080363912, "acc_stderr": 0.012364384016735319 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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Alemao172672/Victor_James_Brazil_Conversational

Alemao172672

2023-12-12T04:03:41Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T04:02:35Z

--- license: openrail ---

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Alemao172672/Sean_Wolfe_Brazil

Alemao172672

2023-12-14T02:42:22Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T04:19:32Z

--- license: openrail ---

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open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7

open-llm-leaderboard

2023-12-12T04:34:32Z

0

[ "region:us" ]

null

2023-12-12T04:33:49Z

--- pretty_name: Evaluation run of Sao10K/NyakuraV2.1-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/NyakuraV2.1-m7](https://huggingface.co/Sao10K/NyakuraV2.1-m7) 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_Sao10K__NyakuraV2.1-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T04:30:54.576577](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7/blob/main/results_2023-12-12T04-30-54.576577.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\": 0.5812856791159661,\n\ \ \"acc_stderr\": 0.03351473539841468,\n \"acc_norm\": 0.5885734680789351,\n\ \ \"acc_norm_stderr\": 0.03422448074980651,\n \"mc1\": 0.29498164014687883,\n\ \ \"mc1_stderr\": 0.015964400965589664,\n \"mc2\": 0.45008851442315223,\n\ \ \"mc2_stderr\": 0.015144388624059283\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5511945392491467,\n \"acc_stderr\": 0.014534599585097662,\n\ \ \"acc_norm\": 0.5861774744027304,\n \"acc_norm_stderr\": 0.014392730009221007\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6320454092810197,\n\ \ \"acc_stderr\": 0.004812633280078261,\n \"acc_norm\": 0.8188607847042422,\n\ \ \"acc_norm_stderr\": 0.003843463792037909\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.630188679245283,\n \"acc_stderr\": 0.02971142188010793,\n\ \ \"acc_norm\": 0.630188679245283,\n \"acc_norm_stderr\": 0.02971142188010793\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201943,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201943\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.03257901482099834,\n\ \ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.03257901482099834\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.373015873015873,\n \"acc_stderr\": 0.02490699045899257,\n \"acc_norm\"\ : 0.373015873015873,\n \"acc_norm_stderr\": 0.02490699045899257\n },\n\ \ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.6838709677419355,\n \"acc_stderr\": 0.026450874489042774,\n \"\ acc_norm\": 0.6838709677419355,\n \"acc_norm_stderr\": 0.026450874489042774\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4827586206896552,\n \"acc_stderr\": 0.035158955511656986,\n \"\ acc_norm\": 0.4827586206896552,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.0347769116216366,\n\ \ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.0347769116216366\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.702020202020202,\n \"acc_stderr\": 0.03258630383836556,\n \"acc_norm\"\ : 0.702020202020202,\n \"acc_norm_stderr\": 0.03258630383836556\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.8290155440414507,\n \"acc_stderr\": 0.027171213683164542,\n\ \ \"acc_norm\": 0.8290155440414507,\n \"acc_norm_stderr\": 0.027171213683164542\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5461538461538461,\n \"acc_stderr\": 0.025242770987126184,\n\ \ \"acc_norm\": 0.5461538461538461,\n \"acc_norm_stderr\": 0.025242770987126184\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652459,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652459\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5882352941176471,\n \"acc_stderr\": 0.031968769891957786,\n\ \ \"acc_norm\": 0.5882352941176471,\n \"acc_norm_stderr\": 0.031968769891957786\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.39072847682119205,\n \"acc_stderr\": 0.03983798306659807,\n \"\ acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.03983798306659807\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.726605504587156,\n \"acc_stderr\": 0.019109299846098292,\n \"\ acc_norm\": 0.726605504587156,\n \"acc_norm_stderr\": 0.019109299846098292\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4537037037037037,\n \"acc_stderr\": 0.03395322726375797,\n \"\ acc_norm\": 0.4537037037037037,\n \"acc_norm_stderr\": 0.03395322726375797\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7205882352941176,\n \"acc_stderr\": 0.03149328104507957,\n \"\ acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.03149328104507957\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7172995780590717,\n \"acc_stderr\": 0.029312814153955924,\n \ \ \"acc_norm\": 0.7172995780590717,\n \"acc_norm_stderr\": 0.029312814153955924\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.04039314978724561,\n\ \ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.04039314978724561\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04557239513497751,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04557239513497751\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.04742762361243011,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.04742762361243011\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7905982905982906,\n\ \ \"acc_stderr\": 0.026655699653922737,\n \"acc_norm\": 0.7905982905982906,\n\ \ \"acc_norm_stderr\": 0.026655699653922737\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7624521072796935,\n\ \ \"acc_stderr\": 0.015218733046150193,\n \"acc_norm\": 0.7624521072796935,\n\ \ \"acc_norm_stderr\": 0.015218733046150193\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6473988439306358,\n \"acc_stderr\": 0.02572280220089581,\n\ \ \"acc_norm\": 0.6473988439306358,\n \"acc_norm_stderr\": 0.02572280220089581\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.25139664804469275,\n\ \ \"acc_stderr\": 0.01450897945355397,\n \"acc_norm\": 0.25139664804469275,\n\ \ \"acc_norm_stderr\": 0.01450897945355397\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.027363593284684965,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.027363593284684965\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6591639871382636,\n\ \ \"acc_stderr\": 0.026920841260776165,\n \"acc_norm\": 0.6591639871382636,\n\ \ \"acc_norm_stderr\": 0.026920841260776165\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6512345679012346,\n \"acc_stderr\": 0.02651759772446501,\n\ \ \"acc_norm\": 0.6512345679012346,\n \"acc_norm_stderr\": 0.02651759772446501\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \ \ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.40547588005215124,\n\ \ \"acc_stderr\": 0.012539960672377202,\n \"acc_norm\": 0.40547588005215124,\n\ \ \"acc_norm_stderr\": 0.012539960672377202\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5661764705882353,\n \"acc_stderr\": 0.030105636570016633,\n\ \ \"acc_norm\": 0.5661764705882353,\n \"acc_norm_stderr\": 0.030105636570016633\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5931372549019608,\n \"acc_stderr\": 0.019873802005061177,\n \ \ \"acc_norm\": 0.5931372549019608,\n \"acc_norm_stderr\": 0.019873802005061177\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6272727272727273,\n\ \ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\ \ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.673469387755102,\n \"acc_stderr\": 0.030021056238440307,\n\ \ \"acc_norm\": 0.673469387755102,\n \"acc_norm_stderr\": 0.030021056238440307\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.02619392354445414,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.02619392354445414\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036624,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036624\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.46987951807228917,\n\ \ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\ \ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7543859649122807,\n \"acc_stderr\": 0.0330140594698725,\n\ \ \"acc_norm\": 0.7543859649122807,\n \"acc_norm_stderr\": 0.0330140594698725\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29498164014687883,\n\ \ \"mc1_stderr\": 0.015964400965589664,\n \"mc2\": 0.45008851442315223,\n\ \ \"mc2_stderr\": 0.015144388624059283\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7277032359905288,\n \"acc_stderr\": 0.012510697991453934\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2266868840030326,\n \ \ \"acc_stderr\": 0.011532758009339995\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/NyakuraV2.1-m7 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|arc:challenge|25_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T04-30-54.576577.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|gsm8k|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hellaswag|10_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T04-30-54.576577.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T04-30-54.576577.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T04-30-54.576577.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T04_30_54.576577 path: - '**/details_harness|winogrande|5_2023-12-12T04-30-54.576577.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T04-30-54.576577.parquet' - config_name: results data_files: - split: 2023_12_12T04_30_54.576577 path: - results_2023-12-12T04-30-54.576577.parquet - split: latest path: - results_2023-12-12T04-30-54.576577.parquet --- # Dataset Card for Evaluation run of Sao10K/NyakuraV2.1-m7  Dataset automatically created during the evaluation run of model [Sao10K/NyakuraV2.1-m7](https://huggingface.co/Sao10K/NyakuraV2.1-m7) 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_Sao10K__NyakuraV2.1-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T04:30:54.576577](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__NyakuraV2.1-m7/blob/main/results_2023-12-12T04-30-54.576577.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": 0.5812856791159661, "acc_stderr": 0.03351473539841468, "acc_norm": 0.5885734680789351, "acc_norm_stderr": 0.03422448074980651, "mc1": 0.29498164014687883, "mc1_stderr": 0.015964400965589664, "mc2": 0.45008851442315223, "mc2_stderr": 0.015144388624059283 }, "harness|arc:challenge|25": { "acc": 0.5511945392491467, "acc_stderr": 0.014534599585097662, "acc_norm": 0.5861774744027304, "acc_norm_stderr": 0.014392730009221007 }, "harness|hellaswag|10": { "acc": 0.6320454092810197, "acc_stderr": 0.004812633280078261, "acc_norm": 0.8188607847042422, "acc_norm_stderr": 0.003843463792037909 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.630188679245283, "acc_stderr": 0.02971142188010793, "acc_norm": 0.630188679245283, "acc_norm_stderr": 0.02971142188010793 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04690650298201943, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201943 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4595744680851064, "acc_stderr": 0.03257901482099834, "acc_norm": 0.4595744680851064, "acc_norm_stderr": 0.03257901482099834 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5241379310344828, "acc_stderr": 0.0416180850350153, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.0416180850350153 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.373015873015873, "acc_stderr": 0.02490699045899257, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.02490699045899257 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6838709677419355, "acc_stderr": 0.026450874489042774, "acc_norm": 0.6838709677419355, "acc_norm_stderr": 0.026450874489042774 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4827586206896552, "acc_stderr": 0.035158955511656986, "acc_norm": 0.4827586206896552, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7272727272727273, "acc_stderr": 0.0347769116216366, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.0347769116216366 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.702020202020202, "acc_stderr": 0.03258630383836556, "acc_norm": 0.702020202020202, "acc_norm_stderr": 0.03258630383836556 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8290155440414507, "acc_stderr": 0.027171213683164542, "acc_norm": 0.8290155440414507, "acc_norm_stderr": 0.027171213683164542 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5461538461538461, "acc_stderr": 0.025242770987126184, "acc_norm": 0.5461538461538461, "acc_norm_stderr": 0.025242770987126184 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3296296296296296, "acc_stderr": 0.02866120111652459, "acc_norm": 0.3296296296296296, "acc_norm_stderr": 0.02866120111652459 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5882352941176471, "acc_stderr": 0.031968769891957786, "acc_norm": 0.5882352941176471, "acc_norm_stderr": 0.031968769891957786 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.39072847682119205, "acc_stderr": 0.03983798306659807, "acc_norm": 0.39072847682119205, "acc_norm_stderr": 0.03983798306659807 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.726605504587156, "acc_stderr": 0.019109299846098292, "acc_norm": 0.726605504587156, "acc_norm_stderr": 0.019109299846098292 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4537037037037037, "acc_stderr": 0.03395322726375797, "acc_norm": 0.4537037037037037, "acc_norm_stderr": 0.03395322726375797 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7205882352941176, "acc_stderr": 0.03149328104507957, "acc_norm": 0.7205882352941176, "acc_norm_stderr": 0.03149328104507957 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7172995780590717, "acc_stderr": 0.029312814153955924, "acc_norm": 0.7172995780590717, "acc_norm_stderr": 0.029312814153955924 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness|hendrycksTest-international_law|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302871, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302871 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04557239513497751, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04557239513497751 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5178571428571429, "acc_stderr": 0.04742762361243011, "acc_norm": 0.5178571428571429, "acc_norm_stderr": 0.04742762361243011 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.7905982905982906, "acc_stderr": 0.026655699653922737, "acc_norm": 0.7905982905982906, "acc_norm_stderr": 0.026655699653922737 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7624521072796935, "acc_stderr": 0.015218733046150193, "acc_norm": 0.7624521072796935, "acc_norm_stderr": 0.015218733046150193 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6473988439306358, "acc_stderr": 0.02572280220089581, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.02572280220089581 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.25139664804469275, "acc_stderr": 0.01450897945355397, "acc_norm": 0.25139664804469275, "acc_norm_stderr": 0.01450897945355397 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6470588235294118, "acc_stderr": 0.027363593284684965, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.027363593284684965 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6591639871382636, "acc_stderr": 0.026920841260776165, "acc_norm": 0.6591639871382636, "acc_norm_stderr": 0.026920841260776165 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6512345679012346, "acc_stderr": 0.02651759772446501, "acc_norm": 0.6512345679012346, "acc_norm_stderr": 0.02651759772446501 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.42907801418439717, "acc_stderr": 0.02952591430255856, "acc_norm": 0.42907801418439717, "acc_norm_stderr": 0.02952591430255856 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.40547588005215124, "acc_stderr": 0.012539960672377202, "acc_norm": 0.40547588005215124, "acc_norm_stderr": 0.012539960672377202 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5661764705882353, "acc_stderr": 0.030105636570016633, "acc_norm": 0.5661764705882353, "acc_norm_stderr": 0.030105636570016633 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5931372549019608, "acc_stderr": 0.019873802005061177, "acc_norm": 0.5931372549019608, "acc_norm_stderr": 0.019873802005061177 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6272727272727273, "acc_stderr": 0.04631381319425465, "acc_norm": 0.6272727272727273, "acc_norm_stderr": 0.04631381319425465 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.673469387755102, "acc_stderr": 0.030021056238440307, "acc_norm": 0.673469387755102, "acc_norm_stderr": 0.030021056238440307 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.02619392354445414, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.02619392354445414 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.03942772444036624, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036624 }, "harness|hendrycksTest-virology|5": { "acc": 0.46987951807228917, "acc_stderr": 0.03885425420866766, "acc_norm": 0.46987951807228917, "acc_norm_stderr": 0.03885425420866766 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7543859649122807, "acc_stderr": 0.0330140594698725, "acc_norm": 0.7543859649122807, "acc_norm_stderr": 0.0330140594698725 }, "harness|truthfulqa:mc|0": { "mc1": 0.29498164014687883, "mc1_stderr": 0.015964400965589664, "mc2": 0.45008851442315223, "mc2_stderr": 0.015144388624059283 }, "harness|winogrande|5": { "acc": 0.7277032359905288, "acc_stderr": 0.012510697991453934 }, "harness|gsm8k|5": { "acc": 0.2266868840030326, "acc_stderr": 0.011532758009339995 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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fr-st/maturemalemix_v14

fr-st

2023-12-12T04:42:18Z

0

[ "license:creativeml-openrail-m", "region:us" ]

null

2023-12-12T04:42:18Z

--- license: creativeml-openrail-m ---

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TCurran4589/cambridge_learning_sciences_handbook_2022

TCurran4589

2023-12-12T05:02:05Z

0

[ "license:mit", "region:us" ]

null

2023-12-12T04:55:24Z

--- license: mit ---

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DeliberatorArchiver/Reverse1999MediaData

DeliberatorArchiver

2023-12-12T06:25:02Z

0

[ "license:cc-by-nc-nd-4.0", "region:us" ]

null

2023-12-12T05:06:19Z

--- license: cc-by-nc-nd-4.0 ---

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seablue/DiDi_GAIA_dataset

seablue

2023-12-13T11:08:25Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T05:16:08Z

--- license: apache-2.0 dataset_info: features: - name: instruction dtype: string - name: most_similar_instructions struct: - name: 下面我给出了一段代码，请你帮我给下面代码加上注释。 dtype: float64 - name: 下面是一段代码，请你添加注释，以便于其他人更好地了解代码。 dtype: float64 - name: 下面是一段可以自动化为你的代码添加注释的工具，请你根据这个工具的描述，使用它为你的代码添加注释。 dtype: float64 - name: 下面是一段需要加注释的代码，请为每一行添加注释并描述其作用。 dtype: float64 - name: 下面的代码令人困惑，请为每行添加注释以解释其含义。 dtype: float64 - name: 下面的代码可能会让其他人感到困惑，请为每一行添加注释以便于其他人理解。 dtype: float64 - name: 下面的代码需要添加注释以解释代码实现的逻辑，请您为其添加注释。 dtype: float64 - name: 下面的代码需要添加注释来解释代码的目的，请你给出相应的注释。 dtype: float64 - name: 下面这段代码需要加入一些注释以便后续使用，请你帮忙补充一下。 dtype: float64 - name: 下面这段代码需要添加注释以解释其中的细节和处理过程，请帮我添加注释。 dtype: float64 - name: 下面这段代码需要添加注释以解释其在整个项目中的作用，请您为其添加注释。 dtype: float64 - name: 下面这段代码需要补充注释来解释变量和函数的用途和功能，请你为其添加注释。 dtype: float64 - name: 你能帮我解释一下以下代码的作用吗？ dtype: float64 - name: 可以为下面的代码添加注释，以便于其他人更好地理解吗？ dtype: float64 - name: 在下面的代码中添加注释，以便阅读代码时更加容易理解和使用。 dtype: float64 - name: 在下面这段代码中添加注释，使得代码更加易读、易用。 dtype: float64 - name: 帮我增加一些注释，让下面这个代码片段更好理解。 dtype: float64 - name: 我需要你帮我写一个自动生成注释的程序。请写一段代码，使其能够根据每行代码的功能生成注释。 dtype: float64 - name: 根据下面的代码实现，请为其添加注释以便更好地了解其实现思路。 dtype: float64 - name: 根据下面的代码逻辑，请为其添加注释，以方便更好地理解代码。 dtype: float64 - name: 根据下面的代码，为每一行添加注释以解释其含义。 dtype: float64 - name: 根据下面的代码，请为每行添加注释来描述其作用。 dtype: float64 - name: 给下面这段代码添加注释，让其他人了解代码的实现细节和使用方法。 dtype: float64 - name: 能不能编写一段代码来自动生成注释呢？ dtype: float64 - name: 能否为下面的代码添加注释，以便于我和其他人更好地理解和使用？ dtype: float64 - name: 能否为下面的代码添加注释，使得其他人更容易了解代码和使用方法？ dtype: float64 - name: 能否为下面的代码添加注释，使得我们更容易理解代码的逻辑和实现方法？ dtype: float64 - name: 能否为下面的代码添加注释，描述代码的主要作用和输入输出。 dtype: float64 - name: 能否为下面的函数添加注释，以方便阅读和理解代码？ dtype: float64 - name: 能否为下面的类添加注释，以便更好地理解其属性和方法？ dtype: float64 - name: 能否为下面这段代码添加注释，让其他人更好地了解代码的功能和使用方法？ dtype: float64 - name: 能否为这个开源项目中的代码添加注释，以便新的开发者更快地了解其功能？ dtype: float64 - name: 能否为这段代码添加注释，解释各个变量和函数的作用？ dtype: float64 - name: 能否为这段代码编写注释，以便于初学者理解代码逻辑和实现方式？ dtype: float64 - name: 能否为这段代码自动生成注释，描述代码的主要功能和用途？ dtype: float64 - name: 能否帮我添加下面这段代码的注释，使得代码更加容易阅读和理解。 dtype: float64 - name: 能否编写代码，自动识别出变量和函数的作用，然后为它们添加注释？ dtype: float64 - name: 能否请你为下面这段代码增加一些注释，使得别人也能够看懂？ dtype: float64 - name: 能否请你在下面的代码中为每一行添加一些注释？ dtype: float64 - name: 能帮我给下面代码加上注释吗？ dtype: float64 - name: 请为下面的代码增加注释，以便在以后代码需要维护时更好地理解和更改代码。 dtype: float64 - name: 请为下面的代码添加注释，以便于后续的调试和维护。 dtype: float64 - name: 请为下面的代码添加注释，以便于我们更好地理解代码的实现和功能。 dtype: float64 - name: 请为下面的代码添加注释，以解释每一行代码的用途。 dtype: float64 - name: 请为下面的代码编写简要的注释，方便阅读和理解。 dtype: float64 - name: 请为下面的函数添加注释，描述函数的输入、输出和用途。 dtype: float64 - name: 请为下面这段代码添加注释来解释各个变量和函数的作用。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明代码的执行步骤以及相关函数的作用。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明每个函数的功能和用途。 dtype: float64 - name: 请为下面这段代码添加注释，注释中需要说明该代码的入参和出参以及相关算法的实现。 dtype: float64 - name: 请为以下代码添加注释，以便更好地理解代码的实现逻辑。 dtype: float64 - name: 请为以下代码添加注释，描述代码的主要实现思路。 dtype: float64 - name: 请你为下面的代码添加注释，解释代码的主要思路和逻辑。 dtype: float64 - name: 请你写一段代码，并为你所写的代码加上适当的注释。 dtype: float64 - name: 请你在下面的代码中找出难懂的地方并加上相应的注释。 dtype: float64 - name: 请你帮忙把下面的代码加上适当的注释，以便于其他人更好地了解代码。 dtype: float64 - name: 请你根据下面的代码，给出一份详细的代码注释，让其他人更好地理解代码。 dtype: float64 - name: 请你给下面的代码添加注释，以便于我们更好地理解代码的功能和实现方法。 dtype: float64 - name: 请写一个生成类方法注释的函数。 dtype: float64 - name: 请写一个生成自然语言描述的代码注释的代码。 dtype: float64 - name: 请写一段代码，使其能够为一个包含多个函数的脚本文件自动添加注释。 dtype: float64 - name: 请写一段代码，使其能够为一个带有参数的函数生成注释。 dtype: float64 - name: 请写一段代码，使其能够根据代码段的逻辑结构生成注释。 dtype: float64 - name: 请写一段代码，使其能够根据变量和函数的命名规则来自动生成注释。 dtype: float64 - name: 请写一段代码，使其能够自动为一个特定函数生成相应的注释。 dtype: float64 - name: 请写一段代码，根据函数的输入和输出来自动生成注释。 dtype: float64 - name: 请写一段代码，生成注释，描述一个函数的作用和输入输出格式。 dtype: float64 - name: 请写一段代码，生成注释，描述一个函数的输入输出和用法实例。 dtype: float64 - name: 请写一段代码，生成注释，描述一个程序中的类的功能和属性。 dtype: float64 - name: 请写一段代码，自动为一个Python模块里的所有函数和类生成注释。 dtype: float64 - name: 请对下面的代码添加适当的注释，以便其他人更好地理解。 dtype: float64 - name: 请帮我为下面的代码片段添加注释，方便其他人更好地理解代码。 dtype: float64 - name: 请帮我为这个循环添加注释，以便更好地理解它。 dtype: float64 - name: 请帮我给下面这段代码添加注释，以便于其他人了解代码的使用方法和功能。 dtype: float64 - name: 请您给下面的代码加上注释，以便于后续代码维护和开发。 dtype: float64 - name: 请根据下面的代码描述每一行的功能，然后加上注释。 dtype: float64 - name: 请根据下面的代码，为代码添加注释以便于其他人理解。 dtype: float64 - name: 请根据以下代码的功能，为其加上注释。 dtype: float64 - name: 请根据你的理解为下面的代码片段增加注释。 dtype: float64 - name: 请生成一组注释，描述下面这段代码的主要功能。 dtype: float64 - name: 请给下面的代码加上注释。 dtype: float64 - name: 请给下面的代码添加注释来解释代码的执行顺序。 dtype: float64 - name: 请给下面的代码添加注释，以便于其他人更好地了解代码的使用方法和注意事项。 dtype: float64 - name: 请给下面这段代码添加注释，以便于我们更好地了解代码的功能和用法。 dtype: float64 - name: 请问你能为下面的代码添加注释吗？ dtype: float64 - name: 请阅读下面的代码并为其添加注释以指明该段代码的功能。 dtype: float64 - name: 请阅读下面这段代码，并为它添加必要的注释，以便理解。 dtype: float64 - name: 请阅读以下代码，给代码加上相应的注释。 dtype: float64 - name: 这是一段优化后的代码，请你为每一行代码添加注释。 dtype: float64 - name: 这段代码可能有一些复杂，你能不能帮我添加一些注释来让它更加易读？ dtype: float64 - name: 这段代码有些复杂，请你给每个函数和循环写上注释，以便于读者理解代码逻辑。 dtype: float64 - name: 这里是一段写好的代码，你能帮我为它添加注释吗？ dtype: float64 - name: 这里是一段没有注释的代码，你能帮我添加一些注释，使其更易读吗？ dtype: float64 - name: 麻烦你为这些变量和函数写一些注释，以便于别人理解代码。 dtype: float64 - name: avg_similarity_score dtype: float64 splits: - name: train num_bytes: 62883 num_examples: 73 download_size: 128943 dataset_size: 62883 ---

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Ediudo/devidi

Ediudo

2023-12-12T05:46:47Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T05:24:57Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1

open-llm-leaderboard

2023-12-12T05:26:27Z

0

[ "region:us" ]

null

2023-12-12T05:25:37Z

--- pretty_name: Evaluation run of l3utterfly/minima-3b-layla-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [l3utterfly/minima-3b-layla-v1](https://huggingface.co/l3utterfly/minima-3b-layla-v1)\ \ 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_l3utterfly__minima-3b-layla-v1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T05:22:37.332430](https://huggingface.co/datasets/open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1/blob/main/results_2023-12-12T05-22-37.332430.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\": 0.2926833958149601,\n\ \ \"acc_stderr\": 0.03204866848858654,\n \"acc_norm\": 0.2933238684679158,\n\ \ \"acc_norm_stderr\": 0.03277522544357182,\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.46464235332296694,\n\ \ \"mc2_stderr\": 0.01460614608791472\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.39590443686006827,\n \"acc_stderr\": 0.014291228393536588,\n\ \ \"acc_norm\": 0.4232081911262799,\n \"acc_norm_stderr\": 0.014438036220848029\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5041824337781319,\n\ \ \"acc_stderr\": 0.004989606838371069,\n \"acc_norm\": 0.6747659828719379,\n\ \ \"acc_norm_stderr\": 0.004675048151056846\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.2074074074074074,\n\ \ \"acc_stderr\": 0.03502553170678318,\n \"acc_norm\": 0.2074074074074074,\n\ \ \"acc_norm_stderr\": 0.03502553170678318\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.2565789473684211,\n \"acc_stderr\": 0.0355418036802569,\n\ \ \"acc_norm\": 0.2565789473684211,\n \"acc_norm_stderr\": 0.0355418036802569\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.35,\n\ \ \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\": 0.35,\n \ \ \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\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\"\ : 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n\ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.23121387283236994,\n\ \ \"acc_stderr\": 0.03214737302029469,\n \"acc_norm\": 0.23121387283236994,\n\ \ \"acc_norm_stderr\": 0.03214737302029469\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\ \ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.26382978723404255,\n \"acc_stderr\": 0.028809989854102956,\n\ \ \"acc_norm\": 0.26382978723404255,\n \"acc_norm_stderr\": 0.028809989854102956\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.21052631578947367,\n\ \ \"acc_stderr\": 0.038351539543994194,\n \"acc_norm\": 0.21052631578947367,\n\ \ \"acc_norm_stderr\": 0.038351539543994194\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.2482758620689655,\n \"acc_stderr\": 0.036001056927277716,\n\ \ \"acc_norm\": 0.2482758620689655,\n \"acc_norm_stderr\": 0.036001056927277716\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.20899470899470898,\n \"acc_stderr\": 0.02094048156533485,\n \"\ acc_norm\": 0.20899470899470898,\n \"acc_norm_stderr\": 0.02094048156533485\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2777777777777778,\n\ \ \"acc_stderr\": 0.04006168083848877,\n \"acc_norm\": 0.2777777777777778,\n\ \ \"acc_norm_stderr\": 0.04006168083848877\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.24516129032258063,\n\ \ \"acc_stderr\": 0.024472243840895528,\n \"acc_norm\": 0.24516129032258063,\n\ \ \"acc_norm_stderr\": 0.024472243840895528\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.2019704433497537,\n \"acc_stderr\": 0.02824735012218027,\n\ \ \"acc_norm\": 0.2019704433497537,\n \"acc_norm_stderr\": 0.02824735012218027\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\ : 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.2727272727272727,\n \"acc_stderr\": 0.03477691162163659,\n\ \ \"acc_norm\": 0.2727272727272727,\n \"acc_norm_stderr\": 0.03477691162163659\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.25252525252525254,\n \"acc_stderr\": 0.030954055470365904,\n \"\ acc_norm\": 0.25252525252525254,\n \"acc_norm_stderr\": 0.030954055470365904\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.27461139896373055,\n \"acc_stderr\": 0.03221024508041154,\n\ \ \"acc_norm\": 0.27461139896373055,\n \"acc_norm_stderr\": 0.03221024508041154\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.32564102564102565,\n \"acc_stderr\": 0.02375966576741229,\n\ \ \"acc_norm\": 0.32564102564102565,\n \"acc_norm_stderr\": 0.02375966576741229\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.026842057873833706,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.026842057873833706\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.3445378151260504,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.3445378151260504,\n \"acc_norm_stderr\": 0.030868682604121622\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.30091743119266057,\n \"acc_stderr\": 0.019664751366802114,\n \"\ acc_norm\": 0.30091743119266057,\n \"acc_norm_stderr\": 0.019664751366802114\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4212962962962963,\n \"acc_stderr\": 0.033674621388960775,\n \"\ acc_norm\": 0.4212962962962963,\n \"acc_norm_stderr\": 0.033674621388960775\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.28431372549019607,\n \"acc_stderr\": 0.03166009679399813,\n \"\ acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.03166009679399813\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.27848101265822783,\n \"acc_stderr\": 0.029178682304842562,\n \ \ \"acc_norm\": 0.27848101265822783,\n \"acc_norm_stderr\": 0.029178682304842562\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.30493273542600896,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.30493273542600896,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.37404580152671757,\n \"acc_stderr\": 0.042438692422305246,\n\ \ \"acc_norm\": 0.37404580152671757,\n \"acc_norm_stderr\": 0.042438692422305246\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.2644628099173554,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.2644628099173554,\n \"acc_norm_stderr\": 0.040261875275912046\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.23148148148148148,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.23148148148148148,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.2331288343558282,\n \"acc_stderr\": 0.03322015795776741,\n\ \ \"acc_norm\": 0.2331288343558282,\n \"acc_norm_stderr\": 0.03322015795776741\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.32142857142857145,\n\ \ \"acc_stderr\": 0.044328040552915185,\n \"acc_norm\": 0.32142857142857145,\n\ \ \"acc_norm_stderr\": 0.044328040552915185\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.2621359223300971,\n \"acc_stderr\": 0.04354631077260595,\n\ \ \"acc_norm\": 0.2621359223300971,\n \"acc_norm_stderr\": 0.04354631077260595\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.28205128205128205,\n\ \ \"acc_stderr\": 0.02948036054954119,\n \"acc_norm\": 0.28205128205128205,\n\ \ \"acc_norm_stderr\": 0.02948036054954119\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2720306513409962,\n\ \ \"acc_stderr\": 0.01591336744750051,\n \"acc_norm\": 0.2720306513409962,\n\ \ \"acc_norm_stderr\": 0.01591336744750051\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.28034682080924855,\n \"acc_stderr\": 0.02418242749657761,\n\ \ \"acc_norm\": 0.28034682080924855,\n \"acc_norm_stderr\": 0.02418242749657761\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2670391061452514,\n\ \ \"acc_stderr\": 0.014796502622562557,\n \"acc_norm\": 0.2670391061452514,\n\ \ \"acc_norm_stderr\": 0.014796502622562557\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.2908496732026144,\n \"acc_stderr\": 0.02600480036395211,\n\ \ \"acc_norm\": 0.2908496732026144,\n \"acc_norm_stderr\": 0.02600480036395211\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.3440514469453376,\n\ \ \"acc_stderr\": 0.026981478043648015,\n \"acc_norm\": 0.3440514469453376,\n\ \ \"acc_norm_stderr\": 0.026981478043648015\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.23765432098765432,\n \"acc_stderr\": 0.023683591837008553,\n\ \ \"acc_norm\": 0.23765432098765432,\n \"acc_norm_stderr\": 0.023683591837008553\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.24113475177304963,\n \"acc_stderr\": 0.025518731049537755,\n \ \ \"acc_norm\": 0.24113475177304963,\n \"acc_norm_stderr\": 0.025518731049537755\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2607561929595828,\n\ \ \"acc_stderr\": 0.01121347155960232,\n \"acc_norm\": 0.2607561929595828,\n\ \ \"acc_norm_stderr\": 0.01121347155960232\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.029520095697687758,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.029520095697687758\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2761437908496732,\n \"acc_stderr\": 0.018087276935663137,\n \ \ \"acc_norm\": 0.2761437908496732,\n \"acc_norm_stderr\": 0.018087276935663137\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2727272727272727,\n\ \ \"acc_stderr\": 0.04265792110940588,\n \"acc_norm\": 0.2727272727272727,\n\ \ \"acc_norm_stderr\": 0.04265792110940588\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.03136250240935893,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.03136250240935893\n },\n\ \ \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.2736318407960199,\n\ \ \"acc_stderr\": 0.03152439186555402,\n \"acc_norm\": 0.2736318407960199,\n\ \ \"acc_norm_stderr\": 0.03152439186555402\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.25903614457831325,\n\ \ \"acc_stderr\": 0.034106466140718564,\n \"acc_norm\": 0.25903614457831325,\n\ \ \"acc_norm_stderr\": 0.034106466140718564\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.03615507630310935,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.03615507630310935\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29253365973072215,\n\ \ \"mc1_stderr\": 0.015925597445286165,\n \"mc2\": 0.46464235332296694,\n\ \ \"mc2_stderr\": 0.01460614608791472\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.659037095501184,\n \"acc_stderr\": 0.013322681435934793\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.08642911296436695,\n \ \ \"acc_stderr\": 0.007740044337103812\n }\n}\n```" repo_url: https://huggingface.co/l3utterfly/minima-3b-layla-v1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|arc:challenge|25_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T05-22-37.332430.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|gsm8k|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hellaswag|10_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-22-37.332430.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-22-37.332430.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T05-22-37.332430.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T05_22_37.332430 path: - '**/details_harness|winogrande|5_2023-12-12T05-22-37.332430.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T05-22-37.332430.parquet' - config_name: results data_files: - split: 2023_12_12T05_22_37.332430 path: - results_2023-12-12T05-22-37.332430.parquet - split: latest path: - results_2023-12-12T05-22-37.332430.parquet --- # Dataset Card for Evaluation run of l3utterfly/minima-3b-layla-v1  Dataset automatically created during the evaluation run of model [l3utterfly/minima-3b-layla-v1](https://huggingface.co/l3utterfly/minima-3b-layla-v1) 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_l3utterfly__minima-3b-layla-v1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T05:22:37.332430](https://huggingface.co/datasets/open-llm-leaderboard/details_l3utterfly__minima-3b-layla-v1/blob/main/results_2023-12-12T05-22-37.332430.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": 0.2926833958149601, "acc_stderr": 0.03204866848858654, "acc_norm": 0.2933238684679158, "acc_norm_stderr": 0.03277522544357182, "mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.46464235332296694, "mc2_stderr": 0.01460614608791472 }, "harness|arc:challenge|25": { "acc": 0.39590443686006827, "acc_stderr": 0.014291228393536588, "acc_norm": 0.4232081911262799, "acc_norm_stderr": 0.014438036220848029 }, "harness|hellaswag|10": { "acc": 0.5041824337781319, "acc_stderr": 0.004989606838371069, "acc_norm": 0.6747659828719379, "acc_norm_stderr": 0.004675048151056846 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2074074074074074, "acc_stderr": 0.03502553170678318, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.03502553170678318 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2565789473684211, "acc_stderr": 0.0355418036802569, "acc_norm": 0.2565789473684211, "acc_norm_stderr": 0.0355418036802569 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670713, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670713 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "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": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23121387283236994, "acc_stderr": 0.03214737302029469, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.03214737302029469 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102956, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102956 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.038351539543994194, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.038351539543994194 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2482758620689655, "acc_stderr": 0.036001056927277716, "acc_norm": 0.2482758620689655, "acc_norm_stderr": 0.036001056927277716 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.20899470899470898, "acc_stderr": 0.02094048156533485, "acc_norm": 0.20899470899470898, "acc_norm_stderr": 0.02094048156533485 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2777777777777778, "acc_stderr": 0.04006168083848877, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.04006168083848877 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24516129032258063, "acc_stderr": 0.024472243840895528, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.024472243840895528 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2019704433497537, "acc_stderr": 0.02824735012218027, "acc_norm": 0.2019704433497537, "acc_norm_stderr": 0.02824735012218027 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2727272727272727, "acc_stderr": 0.03477691162163659, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.03477691162163659 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.25252525252525254, "acc_stderr": 0.030954055470365904, "acc_norm": 0.25252525252525254, "acc_norm_stderr": 0.030954055470365904 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.27461139896373055, "acc_stderr": 0.03221024508041154, "acc_norm": 0.27461139896373055, "acc_norm_stderr": 0.03221024508041154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.32564102564102565, "acc_stderr": 0.02375966576741229, "acc_norm": 0.32564102564102565, "acc_norm_stderr": 0.02375966576741229 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.026842057873833706 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.3445378151260504, "acc_stderr": 0.030868682604121622, "acc_norm": 0.3445378151260504, "acc_norm_stderr": 0.030868682604121622 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.30091743119266057, "acc_stderr": 0.019664751366802114, "acc_norm": 0.30091743119266057, "acc_norm_stderr": 0.019664751366802114 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4212962962962963, "acc_stderr": 0.033674621388960775, "acc_norm": 0.4212962962962963, "acc_norm_stderr": 0.033674621388960775 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.28431372549019607, "acc_stderr": 0.03166009679399813, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.03166009679399813 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.27848101265822783, "acc_stderr": 0.029178682304842562, "acc_norm": 0.27848101265822783, "acc_norm_stderr": 0.029178682304842562 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.30493273542600896, "acc_stderr": 0.030898610882477515, "acc_norm": 0.30493273542600896, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.37404580152671757, "acc_stderr": 0.042438692422305246, "acc_norm": 0.37404580152671757, "acc_norm_stderr": 0.042438692422305246 }, "harness|hendrycksTest-international_law|5": { "acc": 0.2644628099173554, "acc_stderr": 0.040261875275912046, "acc_norm": 0.2644628099173554, "acc_norm_stderr": 0.040261875275912046 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.23148148148148148, "acc_stderr": 0.04077494709252627, "acc_norm": 0.23148148148148148, "acc_norm_stderr": 0.04077494709252627 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.2331288343558282, "acc_stderr": 0.03322015795776741, "acc_norm": 0.2331288343558282, "acc_norm_stderr": 0.03322015795776741 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.32142857142857145, "acc_stderr": 0.044328040552915185, "acc_norm": 0.32142857142857145, "acc_norm_stderr": 0.044328040552915185 }, "harness|hendrycksTest-management|5": { "acc": 0.2621359223300971, "acc_stderr": 0.04354631077260595, "acc_norm": 0.2621359223300971, "acc_norm_stderr": 0.04354631077260595 }, "harness|hendrycksTest-marketing|5": { "acc": 0.28205128205128205, "acc_stderr": 0.02948036054954119, "acc_norm": 0.28205128205128205, "acc_norm_stderr": 0.02948036054954119 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 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"mc1": 0.29253365973072215, "mc1_stderr": 0.015925597445286165, "mc2": 0.46464235332296694, "mc2_stderr": 0.01460614608791472 }, "harness|winogrande|5": { "acc": 0.659037095501184, "acc_stderr": 0.013322681435934793 }, "harness|gsm8k|5": { "acc": 0.08642911296436695, "acc_stderr": 0.007740044337103812 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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VitreousCut/DPOPairsNeuralHermes-2.5-Mistral-7B

VitreousCut

2023-12-12T05:37:17Z

0

[ "license:bsd-2-clause", "region:us" ]

null

2023-12-12T05:30:51Z

--- license: bsd-2-clause ---

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open-llm-leaderboard/details_janhq__supermario-v2

open-llm-leaderboard

2023-12-12T05:37:09Z

0

[ "region:us" ]

null

2023-12-12T05:36:27Z

--- pretty_name: Evaluation run of janhq/supermario-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-v2](https://huggingface.co/janhq/supermario-v2) 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_janhq__supermario-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T05:33:32.497051](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2/blob/main/results_2023-12-12T05-33-32.497051.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\": 0.6533206964078709,\n\ \ \"acc_stderr\": 0.03205268515858169,\n \"acc_norm\": 0.6531030767387064,\n\ \ \"acc_norm_stderr\": 0.03271825548664744,\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.605797177274584,\n\ \ \"mc2_stderr\": 0.015128279082831566\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6578498293515358,\n \"acc_stderr\": 0.013864152159177275,\n\ \ \"acc_norm\": 0.6851535836177475,\n \"acc_norm_stderr\": 0.013572657703084948\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6763592909778928,\n\ \ \"acc_stderr\": 0.004669085411342194,\n \"acc_norm\": 0.8650667197769368,\n\ \ \"acc_norm_stderr\": 0.0034095405332498414\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6296296296296297,\n\ \ \"acc_stderr\": 0.041716541613545426,\n \"acc_norm\": 0.6296296296296297,\n\ \ \"acc_norm_stderr\": 0.041716541613545426\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.02804918631569525,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.02804918631569525\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n\ \ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\ \ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7741935483870968,\n \"acc_stderr\": 0.023785577884181015,\n \"\ acc_norm\": 0.7741935483870968,\n \"acc_norm_stderr\": 0.023785577884181015\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n \"\ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267045,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267045\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8550458715596331,\n \"acc_stderr\": 0.01509421569970048,\n \"\ acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.01509421569970048\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5509259259259259,\n \"acc_stderr\": 0.03392238405321617,\n \"\ acc_norm\": 0.5509259259259259,\n \"acc_norm_stderr\": 0.03392238405321617\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8137254901960784,\n \"acc_stderr\": 0.027325470966716312,\n \"\ acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.027325470966716312\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601432,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601432\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\ \ \"acc_stderr\": 0.021586494001281376,\n \"acc_norm\": 0.8760683760683761,\n\ \ \"acc_norm_stderr\": 0.021586494001281376\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608313,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608313\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500104,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500104\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.38994413407821227,\n\ \ \"acc_stderr\": 0.01631237662921307,\n \"acc_norm\": 0.38994413407821227,\n\ \ \"acc_norm_stderr\": 0.01631237662921307\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729477,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729477\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7561728395061729,\n \"acc_stderr\": 0.023891879541959607,\n\ \ \"acc_norm\": 0.7561728395061729,\n \"acc_norm_stderr\": 0.023891879541959607\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46936114732724904,\n\ \ \"acc_stderr\": 0.012746237711716634,\n \"acc_norm\": 0.46936114732724904,\n\ \ \"acc_norm_stderr\": 0.012746237711716634\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6830065359477124,\n \"acc_stderr\": 0.018824219512706207,\n \ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.018824219512706207\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8606965174129353,\n\ \ \"acc_stderr\": 0.024484487162913973,\n \"acc_norm\": 0.8606965174129353,\n\ \ \"acc_norm_stderr\": 0.024484487162913973\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.605797177274584,\n\ \ \"mc2_stderr\": 0.015128279082831566\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.813733228097869,\n \"acc_stderr\": 0.010941877955676206\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7217589082638363,\n \ \ \"acc_stderr\": 0.012343803671422682\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-v2 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|arc:challenge|25_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T05-33-32.497051.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|gsm8k|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hellaswag|10_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-33-32.497051.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T05-33-32.497051.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T05-33-32.497051.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T05_33_32.497051 path: - '**/details_harness|winogrande|5_2023-12-12T05-33-32.497051.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T05-33-32.497051.parquet' - config_name: results data_files: - split: 2023_12_12T05_33_32.497051 path: - results_2023-12-12T05-33-32.497051.parquet - split: latest path: - results_2023-12-12T05-33-32.497051.parquet --- # Dataset Card for Evaluation run of janhq/supermario-v2  Dataset automatically created during the evaluation run of model [janhq/supermario-v2](https://huggingface.co/janhq/supermario-v2) 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_janhq__supermario-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T05:33:32.497051](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-v2/blob/main/results_2023-12-12T05-33-32.497051.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": 0.6533206964078709, "acc_stderr": 0.03205268515858169, "acc_norm": 0.6531030767387064, "acc_norm_stderr": 0.03271825548664744, "mc1": 0.44430844553243576, "mc1_stderr": 0.017394586250743173, "mc2": 0.605797177274584, "mc2_stderr": 0.015128279082831566 }, "harness|arc:challenge|25": { "acc": 0.6578498293515358, "acc_stderr": 0.013864152159177275, "acc_norm": 0.6851535836177475, "acc_norm_stderr": 0.013572657703084948 }, "harness|hellaswag|10": { "acc": 0.6763592909778928, "acc_stderr": 0.004669085411342194, "acc_norm": 0.8650667197769368, "acc_norm_stderr": 0.0034095405332498414 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6296296296296297, "acc_stderr": 0.041716541613545426, "acc_norm": 0.6296296296296297, "acc_norm_stderr": 0.041716541613545426 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7056603773584905, "acc_stderr": 0.02804918631569525, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.02804918631569525 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7847222222222222, "acc_stderr": 0.03437079344106135, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.03437079344106135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5957446808510638, "acc_stderr": 0.03208115750788684, "acc_norm": 0.5957446808510638, "acc_norm_stderr": 0.03208115750788684 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5241379310344828, "acc_stderr": 0.0416180850350153, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.0416180850350153 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42857142857142855, "acc_stderr": 0.02548718714785938, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.02548718714785938 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7741935483870968, "acc_stderr": 0.023785577884181015, "acc_norm": 0.7741935483870968, "acc_norm_stderr": 0.023785577884181015 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175008, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175008 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267045, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267045 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465066, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465066 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6848739495798319, "acc_stderr": 0.030176808288974337, "acc_norm": 0.6848739495798319, "acc_norm_stderr": 0.030176808288974337 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8550458715596331, "acc_stderr": 0.01509421569970048, "acc_norm": 0.8550458715596331, "acc_norm_stderr": 0.01509421569970048 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5509259259259259, "acc_stderr": 0.03392238405321617, "acc_norm": 0.5509259259259259, "acc_norm_stderr": 0.03392238405321617 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8137254901960784, "acc_stderr": 0.027325470966716312, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.027325470966716312 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601432, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601432 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness|hendrycksTest-management|5": { "acc": 0.7572815533980582, "acc_stderr": 0.04245022486384495, "acc_norm": 0.7572815533980582, "acc_norm_stderr": 0.04245022486384495 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8760683760683761, "acc_stderr": 0.021586494001281376, "acc_norm": 0.8760683760683761, "acc_norm_stderr": 0.021586494001281376 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8301404853128991, "acc_stderr": 0.013428186370608313, "acc_norm": 0.8301404853128991, "acc_norm_stderr": 0.013428186370608313 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500104, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500104 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.38994413407821227, "acc_stderr": 0.01631237662921307, "acc_norm": 0.38994413407821227, "acc_norm_stderr": 0.01631237662921307 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729477, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729477 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7138263665594855, "acc_stderr": 0.025670259242188933, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.025670259242188933 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7561728395061729, "acc_stderr": 0.023891879541959607, "acc_norm": 0.7561728395061729, "acc_norm_stderr": 0.023891879541959607 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46936114732724904, "acc_stderr": 0.012746237711716634, "acc_norm": 0.46936114732724904, "acc_norm_stderr": 0.012746237711716634 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6911764705882353, "acc_stderr": 0.02806499816704009, "acc_norm": 0.6911764705882353, "acc_norm_stderr": 0.02806499816704009 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6830065359477124, "acc_stderr": 0.018824219512706207, "acc_norm": 0.6830065359477124, "acc_norm_stderr": 0.018824219512706207 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8606965174129353, "acc_stderr": 0.024484487162913973, "acc_norm": 0.8606965174129353, "acc_norm_stderr": 0.024484487162913973 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.034873508801977704, "acc_norm": 0.86, "acc_norm_stderr": 0.034873508801977704 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness|truthfulqa:mc|0": { "mc1": 0.44430844553243576, "mc1_stderr": 0.017394586250743173, "mc2": 0.605797177274584, "mc2_stderr": 0.015128279082831566 }, "harness|winogrande|5": { "acc": 0.813733228097869, "acc_stderr": 0.010941877955676206 }, "harness|gsm8k|5": { "acc": 0.7217589082638363, "acc_stderr": 0.012343803671422682 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  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higart/recursos_tracer

higart

2023-12-13T04:12:56Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T05:59:10Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_Undi95__Clover3-17B

open-llm-leaderboard

2023-12-12T06:14:14Z

0

[ "region:us" ]

null

2023-12-12T06:13:20Z

--- pretty_name: Evaluation run of Undi95/Clover3-17B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Undi95/Clover3-17B](https://huggingface.co/Undi95/Clover3-17B) 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_Undi95__Clover3-17B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:10:19.622221](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__Clover3-17B/blob/main/results_2023-12-12T06-10-19.622221.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\": 0.600361059236723,\n\ \ \"acc_stderr\": 0.033074807649830854,\n \"acc_norm\": 0.608082187606879,\n\ \ \"acc_norm_stderr\": 0.03379934177123045,\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.01550620472283456,\n \"mc2\": 0.4072173688663445,\n\ \ \"mc2_stderr\": 0.014502556892504742\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5656996587030717,\n \"acc_stderr\": 0.01448470304885736,\n\ \ \"acc_norm\": 0.5989761092150171,\n \"acc_norm_stderr\": 0.014322255790719867\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6161123282214698,\n\ \ \"acc_stderr\": 0.004853371646239244,\n \"acc_norm\": 0.811790479984067,\n\ \ \"acc_norm_stderr\": 0.003900805416736722\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.0387813988879761,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.0387813988879761\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6226415094339622,\n \"acc_stderr\": 0.029832808114796005,\n\ \ \"acc_norm\": 0.6226415094339622,\n \"acc_norm_stderr\": 0.029832808114796005\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\ : 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.046854730419077895,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.046854730419077895\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113729,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113729\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\ \ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\ \ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.7387096774193549,\n\ \ \"acc_stderr\": 0.024993053397764826,\n \"acc_norm\": 0.7387096774193549,\n\ \ \"acc_norm_stderr\": 0.024993053397764826\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.46798029556650245,\n \"acc_stderr\": 0.035107665979592154,\n\ \ \"acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.035107665979592154\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885417,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885417\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7424242424242424,\n \"acc_stderr\": 0.031156269519646836,\n \"\ acc_norm\": 0.7424242424242424,\n \"acc_norm_stderr\": 0.031156269519646836\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153327,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153327\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6410256410256411,\n \"acc_stderr\": 0.024321738484602354,\n\ \ \"acc_norm\": 0.6410256410256411,\n \"acc_norm_stderr\": 0.024321738484602354\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.028661201116524575,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.028661201116524575\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658753,\n \"\ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658753\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.818348623853211,\n \"acc_stderr\": 0.01653061740926687,\n \"acc_norm\"\ : 0.818348623853211,\n \"acc_norm_stderr\": 0.01653061740926687\n },\n\ \ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.4675925925925926,\n\ \ \"acc_stderr\": 0.034028015813589656,\n \"acc_norm\": 0.4675925925925926,\n\ \ \"acc_norm_stderr\": 0.034028015813589656\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.030190282453501954,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.030190282453501954\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7426160337552743,\n \"acc_stderr\": 0.028458820991460305,\n \ \ \"acc_norm\": 0.7426160337552743,\n \"acc_norm_stderr\": 0.028458820991460305\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\ \ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\ \ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.04026187527591205,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.04026187527591205\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\ \ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165612,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165612\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.014036945850381398,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.014036945850381398\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.02599247202930639,\n\ \ \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.02599247202930639\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.20446927374301677,\n\ \ \"acc_stderr\": 0.013488813404711919,\n \"acc_norm\": 0.20446927374301677,\n\ \ \"acc_norm_stderr\": 0.013488813404711919\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6928104575163399,\n \"acc_stderr\": 0.026415601914388992,\n\ \ \"acc_norm\": 0.6928104575163399,\n \"acc_norm_stderr\": 0.026415601914388992\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6720257234726688,\n\ \ \"acc_stderr\": 0.026664410886937624,\n \"acc_norm\": 0.6720257234726688,\n\ \ \"acc_norm_stderr\": 0.026664410886937624\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6882716049382716,\n \"acc_stderr\": 0.02577311116963046,\n\ \ \"acc_norm\": 0.6882716049382716,\n \"acc_norm_stderr\": 0.02577311116963046\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.029392236584612506,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.029392236584612506\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42698826597131684,\n\ \ \"acc_stderr\": 0.012633353557534425,\n \"acc_norm\": 0.42698826597131684,\n\ \ \"acc_norm_stderr\": 0.012633353557534425\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.02909720956841195,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.02909720956841195\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6176470588235294,\n \"acc_stderr\": 0.01965992249362335,\n \ \ \"acc_norm\": 0.6176470588235294,\n \"acc_norm_stderr\": 0.01965992249362335\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6448979591836734,\n \"acc_stderr\": 0.030635655150387638,\n\ \ \"acc_norm\": 0.6448979591836734,\n \"acc_norm_stderr\": 0.030635655150387638\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7960199004975125,\n\ \ \"acc_stderr\": 0.02849317624532607,\n \"acc_norm\": 0.7960199004975125,\n\ \ \"acc_norm_stderr\": 0.02849317624532607\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536955,\n \ \ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536955\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.01550620472283456,\n \"mc2\": 0.4072173688663445,\n\ \ \"mc2_stderr\": 0.014502556892504742\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7861089187056038,\n \"acc_stderr\": 0.011524466954090259\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18802122820318423,\n \ \ \"acc_stderr\": 0.010762621695354888\n }\n}\n```" repo_url: https://huggingface.co/Undi95/Clover3-17B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|arc:challenge|25_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T06-10-19.622221.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|gsm8k|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hellaswag|10_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-10-19.622221.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-10-19.622221.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-10-19.622221.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_10_19.622221 path: - '**/details_harness|winogrande|5_2023-12-12T06-10-19.622221.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T06-10-19.622221.parquet' - config_name: results data_files: - split: 2023_12_12T06_10_19.622221 path: - results_2023-12-12T06-10-19.622221.parquet - split: latest path: - results_2023-12-12T06-10-19.622221.parquet --- # Dataset Card for Evaluation run of Undi95/Clover3-17B  Dataset automatically created during the evaluation run of model [Undi95/Clover3-17B](https://huggingface.co/Undi95/Clover3-17B) 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_Undi95__Clover3-17B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:10:19.622221](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__Clover3-17B/blob/main/results_2023-12-12T06-10-19.622221.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": 0.600361059236723, "acc_stderr": 0.033074807649830854, "acc_norm": 0.608082187606879, "acc_norm_stderr": 0.03379934177123045, "mc1": 0.26805385556915545, "mc1_stderr": 0.01550620472283456, "mc2": 0.4072173688663445, "mc2_stderr": 0.014502556892504742 }, "harness|arc:challenge|25": { "acc": 0.5656996587030717, "acc_stderr": 0.01448470304885736, "acc_norm": 0.5989761092150171, "acc_norm_stderr": 0.014322255790719867 }, "harness|hellaswag|10": { "acc": 0.6161123282214698, "acc_stderr": 0.004853371646239244, "acc_norm": 0.811790479984067, "acc_norm_stderr": 0.003900805416736722 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6513157894736842, "acc_stderr": 0.0387813988879761, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.0387813988879761 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6226415094339622, "acc_stderr": 0.029832808114796005, "acc_norm": 0.6226415094339622, "acc_norm_stderr": 0.029832808114796005 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, 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0.26805385556915545, "mc1_stderr": 0.01550620472283456, "mc2": 0.4072173688663445, "mc2_stderr": 0.014502556892504742 }, "harness|winogrande|5": { "acc": 0.7861089187056038, "acc_stderr": 0.011524466954090259 }, "harness|gsm8k|5": { "acc": 0.18802122820318423, "acc_stderr": 0.010762621695354888 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  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open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7

open-llm-leaderboard

2023-12-12T06:23:33Z

0

[ "region:us" ]

null

2023-12-12T06:22:45Z

--- pretty_name: Evaluation run of Sao10K/Venomia-1.1-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Venomia-1.1-m7](https://huggingface.co/Sao10K/Venomia-1.1-m7) 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_Sao10K__Venomia-1.1-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:19:54.268543](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7/blob/main/results_2023-12-12T06-19-54.268543.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\": 0.5646939992249473,\n\ \ \"acc_stderr\": 0.03365626984219371,\n \"acc_norm\": 0.5687314107018308,\n\ \ \"acc_norm_stderr\": 0.03434566057163248,\n \"mc1\": 0.31946144430844553,\n\ \ \"mc1_stderr\": 0.0163226441829605,\n \"mc2\": 0.47211906040617,\n\ \ \"mc2_stderr\": 0.015511830880546584\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5563139931740614,\n \"acc_stderr\": 0.014518421825670442,\n\ \ \"acc_norm\": 0.5844709897610921,\n \"acc_norm_stderr\": 0.014401366641216384\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6445927106154152,\n\ \ \"acc_stderr\": 0.004776583530909567,\n \"acc_norm\": 0.8304122684724159,\n\ \ \"acc_norm_stderr\": 0.0037450326672282797\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5555555555555556,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6052631578947368,\n \"acc_stderr\": 0.039777499346220734,\n\ \ \"acc_norm\": 0.6052631578947368,\n \"acc_norm_stderr\": 0.039777499346220734\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5547169811320755,\n \"acc_stderr\": 0.03058805297427065,\n\ \ \"acc_norm\": 0.5547169811320755,\n \"acc_norm_stderr\": 0.03058805297427065\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5549132947976878,\n\ \ \"acc_stderr\": 0.03789401760283647,\n \"acc_norm\": 0.5549132947976878,\n\ \ \"acc_norm_stderr\": 0.03789401760283647\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.045766654032077615,\n\ \ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.045766654032077615\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4851063829787234,\n \"acc_stderr\": 0.032671518489247764,\n\ \ \"acc_norm\": 0.4851063829787234,\n \"acc_norm_stderr\": 0.032671518489247764\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.41228070175438597,\n\ \ \"acc_stderr\": 0.046306532033665956,\n \"acc_norm\": 0.41228070175438597,\n\ \ \"acc_norm_stderr\": 0.046306532033665956\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878151,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878151\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.02494236893115979,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.02494236893115979\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.042163702135578345,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.042163702135578345\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.6548387096774193,\n \"acc_stderr\": 0.027045746573534327,\n \"\ acc_norm\": 0.6548387096774193,\n \"acc_norm_stderr\": 0.027045746573534327\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\"\ : 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.6767676767676768,\n \"acc_stderr\": 0.033322999210706444,\n \"\ acc_norm\": 0.6767676767676768,\n \"acc_norm_stderr\": 0.033322999210706444\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.772020725388601,\n \"acc_stderr\": 0.03027690994517826,\n\ \ \"acc_norm\": 0.772020725388601,\n \"acc_norm_stderr\": 0.03027690994517826\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.4897435897435897,\n \"acc_stderr\": 0.025345672221942374,\n\ \ \"acc_norm\": 0.4897435897435897,\n \"acc_norm_stderr\": 0.025345672221942374\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2962962962962963,\n \"acc_stderr\": 0.02784081149587192,\n \ \ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.02784081149587192\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5168067226890757,\n \"acc_stderr\": 0.03246013680375308,\n \ \ \"acc_norm\": 0.5168067226890757,\n \"acc_norm_stderr\": 0.03246013680375308\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7155963302752294,\n \"acc_stderr\": 0.019342036587702574,\n \"\ acc_norm\": 0.7155963302752294,\n \"acc_norm_stderr\": 0.019342036587702574\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\"\ : 0.7009803921568627,\n \"acc_stderr\": 0.03213325717373617,\n \"\ acc_norm\": 0.7009803921568627,\n \"acc_norm_stderr\": 0.03213325717373617\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7130801687763713,\n \"acc_stderr\": 0.029443773022594693,\n \ \ \"acc_norm\": 0.7130801687763713,\n \"acc_norm_stderr\": 0.029443773022594693\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467765,\n\ \ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467765\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7024793388429752,\n \"acc_stderr\": 0.04173349148083499,\n \"\ acc_norm\": 0.7024793388429752,\n \"acc_norm_stderr\": 0.04173349148083499\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04643454608906276,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04643454608906276\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7116564417177914,\n \"acc_stderr\": 0.035590395316173425,\n\ \ \"acc_norm\": 0.7116564417177914,\n \"acc_norm_stderr\": 0.035590395316173425\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.046695106638751906,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.046695106638751906\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6310679611650486,\n \"acc_stderr\": 0.0477761518115674,\n\ \ \"acc_norm\": 0.6310679611650486,\n \"acc_norm_stderr\": 0.0477761518115674\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \ \ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.756066411238825,\n\ \ \"acc_stderr\": 0.015357212665829463,\n \"acc_norm\": 0.756066411238825,\n\ \ \"acc_norm_stderr\": 0.015357212665829463\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.026226158605124655,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.026226158605124655\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.28268156424581004,\n\ \ \"acc_stderr\": 0.015060381730018115,\n \"acc_norm\": 0.28268156424581004,\n\ \ \"acc_norm_stderr\": 0.015060381730018115\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6437908496732027,\n \"acc_stderr\": 0.027420477662629235,\n\ \ \"acc_norm\": 0.6437908496732027,\n \"acc_norm_stderr\": 0.027420477662629235\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6077170418006431,\n\ \ \"acc_stderr\": 0.02773125864701199,\n \"acc_norm\": 0.6077170418006431,\n\ \ \"acc_norm_stderr\": 0.02773125864701199\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6481481481481481,\n \"acc_stderr\": 0.026571483480719974,\n\ \ \"acc_norm\": 0.6481481481481481,\n \"acc_norm_stderr\": 0.026571483480719974\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.0293922365846125,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.0293922365846125\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4028683181225554,\n\ \ \"acc_stderr\": 0.012526955577118014,\n \"acc_norm\": 0.4028683181225554,\n\ \ \"acc_norm_stderr\": 0.012526955577118014\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.48161764705882354,\n \"acc_stderr\": 0.03035230339535196,\n\ \ \"acc_norm\": 0.48161764705882354,\n \"acc_norm_stderr\": 0.03035230339535196\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5898692810457516,\n \"acc_stderr\": 0.019898412717635903,\n \ \ \"acc_norm\": 0.5898692810457516,\n \"acc_norm_stderr\": 0.019898412717635903\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6979591836734694,\n \"acc_stderr\": 0.0293936093198798,\n\ \ \"acc_norm\": 0.6979591836734694,\n \"acc_norm_stderr\": 0.0293936093198798\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.02650859065623326,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.02650859065623326\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4879518072289157,\n\ \ \"acc_stderr\": 0.0389136449583582,\n \"acc_norm\": 0.4879518072289157,\n\ \ \"acc_norm_stderr\": 0.0389136449583582\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.31946144430844553,\n\ \ \"mc1_stderr\": 0.0163226441829605,\n \"mc2\": 0.47211906040617,\n\ \ \"mc2_stderr\": 0.015511830880546584\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440473\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.36087945413191813,\n \ \ \"acc_stderr\": 0.013228626753925136\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Venomia-1.1-m7 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|arc:challenge|25_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T06-19-54.268543.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|gsm8k|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hellaswag|10_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-19-54.268543.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-19-54.268543.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-19-54.268543.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_19_54.268543 path: - '**/details_harness|winogrande|5_2023-12-12T06-19-54.268543.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T06-19-54.268543.parquet' - config_name: results data_files: - split: 2023_12_12T06_19_54.268543 path: - results_2023-12-12T06-19-54.268543.parquet - split: latest path: - results_2023-12-12T06-19-54.268543.parquet --- # Dataset Card for Evaluation run of Sao10K/Venomia-1.1-m7  Dataset automatically created during the evaluation run of model [Sao10K/Venomia-1.1-m7](https://huggingface.co/Sao10K/Venomia-1.1-m7) 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_Sao10K__Venomia-1.1-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:19:54.268543](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-1.1-m7/blob/main/results_2023-12-12T06-19-54.268543.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": 0.5646939992249473, "acc_stderr": 0.03365626984219371, "acc_norm": 0.5687314107018308, "acc_norm_stderr": 0.03434566057163248, "mc1": 0.31946144430844553, "mc1_stderr": 0.0163226441829605, "mc2": 0.47211906040617, "mc2_stderr": 0.015511830880546584 }, "harness|arc:challenge|25": { "acc": 0.5563139931740614, "acc_stderr": 0.014518421825670442, "acc_norm": 0.5844709897610921, "acc_norm_stderr": 0.014401366641216384 }, "harness|hellaswag|10": { "acc": 0.6445927106154152, "acc_stderr": 0.004776583530909567, "acc_norm": 0.8304122684724159, "acc_norm_stderr": 0.0037450326672282797 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6052631578947368, "acc_stderr": 0.039777499346220734, "acc_norm": 0.6052631578947368, "acc_norm_stderr": 0.039777499346220734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5547169811320755, "acc_stderr": 0.03058805297427065, "acc_norm": 0.5547169811320755, "acc_norm_stderr": 0.03058805297427065 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5549132947976878, "acc_stderr": 0.03789401760283647, "acc_norm": 0.5549132947976878, "acc_norm_stderr": 0.03789401760283647 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.045766654032077615, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.045766654032077615 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4851063829787234, "acc_stderr": 0.032671518489247764, "acc_norm": 0.4851063829787234, "acc_norm_stderr": 0.032671518489247764 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.41228070175438597, "acc_stderr": 0.046306532033665956, "acc_norm": 0.41228070175438597, "acc_norm_stderr": 0.046306532033665956 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878151, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878151 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.37566137566137564, "acc_stderr": 0.02494236893115979, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.02494236893115979 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3333333333333333, "acc_stderr": 0.042163702135578345, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.042163702135578345 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6548387096774193, "acc_stderr": 0.027045746573534327, "acc_norm": 0.6548387096774193, "acc_norm_stderr": 0.027045746573534327 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6767676767676768, "acc_stderr": 0.033322999210706444, "acc_norm": 0.6767676767676768, "acc_norm_stderr": 0.033322999210706444 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.772020725388601, "acc_stderr": 0.03027690994517826, "acc_norm": 0.772020725388601, "acc_norm_stderr": 0.03027690994517826 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 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"harness|truthfulqa:mc|0": { "mc1": 0.31946144430844553, "mc1_stderr": 0.0163226441829605, "mc2": 0.47211906040617, "mc2_stderr": 0.015511830880546584 }, "harness|winogrande|5": { "acc": 0.744277821625888, "acc_stderr": 0.012261253845440473 }, "harness|gsm8k|5": { "acc": 0.36087945413191813, "acc_stderr": 0.013228626753925136 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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lorinma/Wildchat_zh_sharegpt_Subsample_20K

lorinma

2023-12-13T07:22:29Z

0

1

[ "task_categories:conversational", "task_categories:text-generation", "size_categories:10K<n<100K", "language:zh", "arxiv:1708.00489", "region:us" ]

[ "conversational", "text-generation" ]

2023-12-12T06:26:19Z

--- language: - zh task_categories: - conversational - text-generation size_categories: - 10K<n<100K --- A big shout out to AllenAI, you guys rock! 从[WildChat](https://huggingface.co/datasets/allenai/WildChat)中抽出中文对话,但是因为发现了很多重复对话，有的人会反复的用一个prompt进行提问，有的人会换3.5或4去问同样的问题，所以进行了简单的去重。去重方法大致为，使用[bert-base-chinese](https://huggingface.co/bert-base-chinese)将第一个问题转换为embedding，使用[类knn的方法](https://arxiv.org/pdf/1708.00489.pdf)抽取了1万条。并转换成了sharegpt格式。注意！在对话中发现了NSFW的内容，并没有进行过滤，使用请注意甄别。你会找到三个jsonl文件： * wildchat-seed-multi-200.json 是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的200个种子任务，用于EvolInsturction。 * Subsample_10K.jsonl 原始版本，是使用每一个单独的Dialogue的首个HumanQuestion为基础，采样的1万个对话。 * 1213_Wildchat_zh_Sharegpt_ConcatSubsample_20k.jsonl 更新，是使用每一个单独的Dialogue的所有HumanQuestion concat起来为基础，采样的2万个对话。

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amitkedia/Financial-Fraud-Dataset

amitkedia

2023-12-12T06:31:55Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T06:31:55Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_AA051610__A12P

open-llm-leaderboard

2023-12-12T07:01:10Z

0

[ "region:us" ]

null

2023-12-12T07:00:27Z

--- pretty_name: Evaluation run of AA051610/A12P dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [AA051610/A12P](https://huggingface.co/AA051610/A12P) 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_AA051610__A12P\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T06:57:37.769631](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__A12P/blob/main/results_2023-12-12T06-57-37.769631.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\": 0.6960316046766869,\n\ \ \"acc_stderr\": 0.030603322312658773,\n \"acc_norm\": 0.7008390046754603,\n\ \ \"acc_norm_stderr\": 0.031195836387238177,\n \"mc1\": 0.4565483476132191,\n\ \ \"mc1_stderr\": 0.01743728095318369,\n \"mc2\": 0.6222123218100973,\n\ \ \"mc2_stderr\": 0.015308802289329178\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6254266211604096,\n \"acc_stderr\": 0.014144193471893454,\n\ \ \"acc_norm\": 0.64419795221843,\n \"acc_norm_stderr\": 0.01399057113791876\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6210914160525791,\n\ \ \"acc_stderr\": 0.004841238763529372,\n \"acc_norm\": 0.8232423819956184,\n\ \ \"acc_norm_stderr\": 0.0038068384481617415\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.04218506215368879,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.04218506215368879\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8355263157894737,\n \"acc_stderr\": 0.030167533468632723,\n\ \ \"acc_norm\": 0.8355263157894737,\n \"acc_norm_stderr\": 0.030167533468632723\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.77,\n\ \ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n \ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7320754716981132,\n \"acc_stderr\": 0.027257260322494845,\n\ \ \"acc_norm\": 0.7320754716981132,\n \"acc_norm_stderr\": 0.027257260322494845\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.049888765156985884,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.049888765156985884\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.59,\n \"acc_stderr\": 0.04943110704237101,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237101\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6242774566473989,\n\ \ \"acc_stderr\": 0.036928207672648664,\n \"acc_norm\": 0.6242774566473989,\n\ \ \"acc_norm_stderr\": 0.036928207672648664\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\": 0.81,\n\ \ \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.7319148936170212,\n \"acc_stderr\": 0.028957342788342343,\n\ \ \"acc_norm\": 0.7319148936170212,\n \"acc_norm_stderr\": 0.028957342788342343\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.7103448275862069,\n \"acc_stderr\": 0.03780019230438015,\n\ \ \"acc_norm\": 0.7103448275862069,\n \"acc_norm_stderr\": 0.03780019230438015\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.5714285714285714,\n \"acc_stderr\": 0.025487187147859375,\n \"\ acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.025487187147859375\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.46825396825396826,\n\ \ \"acc_stderr\": 0.04463112720677171,\n \"acc_norm\": 0.46825396825396826,\n\ \ \"acc_norm_stderr\": 0.04463112720677171\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.8483870967741935,\n\ \ \"acc_stderr\": 0.02040261665441676,\n \"acc_norm\": 0.8483870967741935,\n\ \ \"acc_norm_stderr\": 0.02040261665441676\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162934,\n\ \ \"acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162934\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\ : 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880215,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880215\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7410256410256411,\n \"acc_stderr\": 0.022211106810061665,\n\ \ \"acc_norm\": 0.7410256410256411,\n \"acc_norm_stderr\": 0.022211106810061665\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8151260504201681,\n \"acc_stderr\": 0.025215992877954202,\n\ \ \"acc_norm\": 0.8151260504201681,\n \"acc_norm_stderr\": 0.025215992877954202\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.41721854304635764,\n \"acc_stderr\": 0.040261414976346104,\n \"\ acc_norm\": 0.41721854304635764,\n \"acc_norm_stderr\": 0.040261414976346104\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8642201834862385,\n \"acc_stderr\": 0.01468690755634002,\n \"\ acc_norm\": 0.8642201834862385,\n \"acc_norm_stderr\": 0.01468690755634002\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.0338517797604481,\n \"acc_norm\"\ : 0.5601851851851852,\n \"acc_norm_stderr\": 0.0338517797604481\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.8627450980392157,\n\ \ \"acc_stderr\": 0.024152225962801588,\n \"acc_norm\": 0.8627450980392157,\n\ \ \"acc_norm_stderr\": 0.024152225962801588\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.8776371308016878,\n \"acc_stderr\": 0.021331741829746793,\n\ \ \"acc_norm\": 0.8776371308016878,\n \"acc_norm_stderr\": 0.021331741829746793\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.028380391147094706,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.028380391147094706\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804475,\n\ \ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804475\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8347107438016529,\n \"acc_stderr\": 0.03390780612972776,\n \"\ acc_norm\": 0.8347107438016529,\n \"acc_norm_stderr\": 0.03390780612972776\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797174,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797174\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6071428571428571,\n\ \ \"acc_stderr\": 0.046355501356099754,\n \"acc_norm\": 0.6071428571428571,\n\ \ \"acc_norm_stderr\": 0.046355501356099754\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.0376017800602662,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.0376017800602662\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8974358974358975,\n\ \ \"acc_stderr\": 0.019875655027867457,\n \"acc_norm\": 0.8974358974358975,\n\ \ \"acc_norm_stderr\": 0.019875655027867457\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8876117496807152,\n\ \ \"acc_stderr\": 0.01129454135121655,\n \"acc_norm\": 0.8876117496807152,\n\ \ \"acc_norm_stderr\": 0.01129454135121655\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7658959537572254,\n \"acc_stderr\": 0.022797110278071128,\n\ \ \"acc_norm\": 0.7658959537572254,\n \"acc_norm_stderr\": 0.022797110278071128\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5027932960893855,\n\ \ \"acc_stderr\": 0.01672224059549172,\n \"acc_norm\": 0.5027932960893855,\n\ \ \"acc_norm_stderr\": 0.01672224059549172\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.761437908496732,\n \"acc_stderr\": 0.024404394928087873,\n\ \ \"acc_norm\": 0.761437908496732,\n \"acc_norm_stderr\": 0.024404394928087873\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7491961414790996,\n\ \ \"acc_stderr\": 0.024619771956697168,\n \"acc_norm\": 0.7491961414790996,\n\ \ \"acc_norm_stderr\": 0.024619771956697168\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8024691358024691,\n \"acc_stderr\": 0.02215288992789896,\n\ \ \"acc_norm\": 0.8024691358024691,\n \"acc_norm_stderr\": 0.02215288992789896\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5338983050847458,\n\ \ \"acc_stderr\": 0.012740853872949834,\n \"acc_norm\": 0.5338983050847458,\n\ \ \"acc_norm_stderr\": 0.012740853872949834\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940675,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940675\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.75,\n \"acc_stderr\": 0.01751781884501444,\n \"acc_norm\"\ : 0.75,\n \"acc_norm_stderr\": 0.01751781884501444\n },\n \"harness|hendrycksTest-public_relations|5\"\ : {\n \"acc\": 0.7181818181818181,\n \"acc_stderr\": 0.043091187099464585,\n\ \ \"acc_norm\": 0.7181818181818181,\n \"acc_norm_stderr\": 0.043091187099464585\n\ \ },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.763265306122449,\n\ \ \"acc_stderr\": 0.02721283588407315,\n \"acc_norm\": 0.763265306122449,\n\ \ \"acc_norm_stderr\": 0.02721283588407315\n },\n \"harness|hendrycksTest-sociology|5\"\ : {\n \"acc\": 0.8706467661691543,\n \"acc_stderr\": 0.023729830881018512,\n\ \ \"acc_norm\": 0.8706467661691543,\n \"acc_norm_stderr\": 0.023729830881018512\n\ \ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\ \ 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \"acc_norm\": 0.87,\n\ \ \"acc_norm_stderr\": 0.03379976689896309\n },\n \"harness|hendrycksTest-virology|5\"\ : {\n \"acc\": 0.572289156626506,\n \"acc_stderr\": 0.038515976837185335,\n\ \ \"acc_norm\": 0.572289156626506,\n \"acc_norm_stderr\": 0.038515976837185335\n\ \ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.8421052631578947,\n\ \ \"acc_stderr\": 0.027966785859160886,\n \"acc_norm\": 0.8421052631578947,\n\ \ \"acc_norm_stderr\": 0.027966785859160886\n },\n \"harness|truthfulqa:mc|0\"\ : {\n \"mc1\": 0.4565483476132191,\n \"mc1_stderr\": 0.01743728095318369,\n\ \ \"mc2\": 0.6222123218100973,\n \"mc2_stderr\": 0.015308802289329178\n\ \ },\n \"harness|winogrande|5\": {\n \"acc\": 0.7963693764798737,\n\ \ \"acc_stderr\": 0.011317798781626915\n },\n \"harness|gsm8k|5\":\ \ {\n \"acc\": 0.5329795299469295,\n \"acc_stderr\": 0.013742492794163425\n\ \ }\n}\n```" repo_url: https://huggingface.co/AA051610/A12P leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|arc:challenge|25_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T06-57-37.769631.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|gsm8k|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hellaswag|10_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-57-37.769631.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T06-57-37.769631.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T06-57-37.769631.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T06_57_37.769631 path: - '**/details_harness|winogrande|5_2023-12-12T06-57-37.769631.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T06-57-37.769631.parquet' - config_name: results data_files: - split: 2023_12_12T06_57_37.769631 path: - results_2023-12-12T06-57-37.769631.parquet - split: latest path: - results_2023-12-12T06-57-37.769631.parquet --- # Dataset Card for Evaluation run of AA051610/A12P  Dataset automatically created during the evaluation run of model [AA051610/A12P](https://huggingface.co/AA051610/A12P) 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_AA051610__A12P", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T06:57:37.769631](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__A12P/blob/main/results_2023-12-12T06-57-37.769631.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": 0.6960316046766869, "acc_stderr": 0.030603322312658773, "acc_norm": 0.7008390046754603, "acc_norm_stderr": 0.031195836387238177, "mc1": 0.4565483476132191, "mc1_stderr": 0.01743728095318369, "mc2": 0.6222123218100973, "mc2_stderr": 0.015308802289329178 }, "harness|arc:challenge|25": { "acc": 0.6254266211604096, "acc_stderr": 0.014144193471893454, "acc_norm": 0.64419795221843, "acc_norm_stderr": 0.01399057113791876 }, "harness|hellaswag|10": { "acc": 0.6210914160525791, "acc_stderr": 0.004841238763529372, "acc_norm": 0.8232423819956184, "acc_norm_stderr": 0.0038068384481617415 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.04218506215368879, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.04218506215368879 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8355263157894737, "acc_stderr": 0.030167533468632723, "acc_norm": 0.8355263157894737, "acc_norm_stderr": 0.030167533468632723 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7320754716981132, "acc_stderr": 0.027257260322494845, "acc_norm": 0.7320754716981132, "acc_norm_stderr": 0.027257260322494845 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7847222222222222, "acc_stderr": 0.034370793441061344, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.034370793441061344 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.049888765156985884, "acc_norm": 0.44, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237101, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237101 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6242774566473989, "acc_stderr": 0.036928207672648664, "acc_norm": 0.6242774566473989, "acc_norm_stderr": 0.036928207672648664 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7319148936170212, "acc_stderr": 0.028957342788342343, "acc_norm": 0.7319148936170212, "acc_norm_stderr": 0.028957342788342343 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7103448275862069, "acc_stderr": 0.03780019230438015, "acc_norm": 0.7103448275862069, "acc_norm_stderr": 0.03780019230438015 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5714285714285714, "acc_stderr": 0.025487187147859375, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.025487187147859375 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.46825396825396826, "acc_stderr": 0.04463112720677171, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.04463112720677171 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8483870967741935, "acc_stderr": 0.02040261665441676, "acc_norm": 0.8483870967741935, "acc_norm_stderr": 0.02040261665441676 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162934, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162934 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8121212121212121, "acc_stderr": 0.03050193405942914, "acc_norm": 0.8121212121212121, "acc_norm_stderr": 0.03050193405942914 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8737373737373737, "acc_stderr": 0.023664359402880215, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.023664359402880215 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 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"mc1": 0.4565483476132191, "mc1_stderr": 0.01743728095318369, "mc2": 0.6222123218100973, "mc2_stderr": 0.015308802289329178 }, "harness|winogrande|5": { "acc": 0.7963693764798737, "acc_stderr": 0.011317798781626915 }, "harness|gsm8k|5": { "acc": 0.5329795299469295, "acc_stderr": 0.013742492794163425 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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hariharasudhan/dream

hariharasudhan

2023-12-12T07:14:36Z

0

[ "license:other", "region:us" ]

null

2023-12-12T07:14:36Z

--- license: other license_name: mine license_link: LICENSE ---

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qgyd2021/few_shot_ner_sft

qgyd2021

2023-12-15T10:22:10Z

0

[ "license:apache-2.0", "arxiv:2004.01401", "arxiv:2204.12061", "region:us" ]

null

2023-12-12T07:23:11Z

--- license: apache-2.0 --- ## 小样本实体识别收集实体识别的数据集, 将其整理成 prompt-response 的形式. 基于语言模型的实体识别. 该数据集可用于: 1. 指令语言模型训练. 2. 数据集创建. (特定领域有少量标注数据时, 可与此数据集一起训练模型, 然后生成样本用于数据标注). 在 prompt 生成过程中会加入一些 `示例`, 我们尽量使各实体的标签满足 `n_way, n_shot`. [提示工程指南](https://www.promptingguide.ai/zh) ### 样本示例目前有三种实体标注的格式: * (1)句子重写. 比如 `"今天天气怎样"` 改写为 `"<date>今天</date>天气怎么"`. 这种方式的好处是能够从结果推断出实体的具体位置. * (2)json格式. 比如 `"今天天气怎样"` 输出 `{"entity_text": "今天", "entity_type": "date"}`. 这种方式输出的 json 字符串可能会有重复的. 因为句子中可能会有两个一样的实体. * (3)实体类型 - 实体原始字符串. 比如 `"今天天气怎样"` 输出 `date: 今天.`. 这种方式输出的实体, 每行文本以 `实体类型` 开始, 冒号 `:` 后面接实体原始字符串 `今天`. 如果 `实体原始字符串` 中有重复的, 目前会去重复. <details> <summary>cmeee_prompt</summary> <pre><code>实体识别. 请你对句子进行重写并标注出其中包含的实体. 实体有: - microbe - drug - procedure - item - disease 示例: ------ text: （二）感染因素病原微生物能否引起肠道感染，取决于宿主防御功能的强弱、感染量的大小以及微生物毒力（黏附性、产毒性及侵袭性）、细胞毒性，其中微生物的黏附能力对于肠道感染至关重要。 rewrited: （二）<disease>感染</disease>因素<microbe>病原微生物</microbe>能否引起<disease>肠道感染</disease>，取决于宿主<item>防御功能</item>的强弱、<item>感染量</item>的大小以及<microbe>微生物</microbe>毒力（黏附性、产毒性及侵袭性）、细胞毒性，其中<microbe>微生物</microbe>的黏附能力对于<disease>肠道感染</disease>至关重要。 ------ text: （三）幽门螺杆菌阴性消化性溃疡的传统治疗在下述药物中，以H2受体阻滞剂应用最多，其机制为抑制组胺对壁细胞的泌酸作用，但对于胆碱能神经或胃泌素合并的餐后胃酸分泌影响较小。 rewrited: （三）<disease>幽门螺杆菌阴性消化性溃疡</disease>的<procedure>传统治疗</procedure>在下述药物中，以<drug>H2受体阻滞剂</drug>应用最多，其机制为抑制组胺对壁细胞的泌酸作用，但对于胆碱能神经或胃泌素合并的餐后胃酸分泌影响较小。 ------ text: 用本法显影受肾功能的影响很小，有人估计，只要残留肾功能在3%以上，本法即可勉强显影。 rewrited: </code></pre> </details> <details> <summary>cmeee_prompt</summary> <pre><code>请对句子进行重写以标注出其中的 “药剂”，“科室”，“发病症状” 实体。 示例： ``` text：代谢性碱中毒的发生，可能与排钠钾性利尿剂的持续使用有关，造成肾小管对钠钾的重吸收障碍，同时利尿剂抑制了对氯离子的重吸收，则发生低氯性代谢性碱中毒。 rewrited：代谢性碱中毒的发生，可能与<药剂>排钠钾性利尿剂</药剂>的持续使用有关，造成肾小管对钠钾的重吸收障碍，同时<药剂>利尿剂</药剂>抑制了对氯离子的重吸收，则发生低氯性代谢性碱中毒。 ``` text：参考文献1.胡亚美，江载芳.诸福棠实用儿科学.第7版.北京：人民卫生出版社，20022.江载芳.实用小儿呼吸病学.北京：人民卫生出版社，2010：2253.中华医学会儿科分会呼吸学组.儿童侵袭性肺部真菌感染诊治指南（儿童侵袭性真菌感染州医学.2009，22（3）：183-1834.肖晶，周东风，孟浦.儿童侵袭性真菌感染早期诊断的研究进展.国际儿科学杂志，2009，36（5）：523-5235.KlontRR，MenninkKerstenMH，RuegebrinkW，etal.ParadoxicalincreaseincirculatingHspergillusantigenduringtreatmentwithcaspofungininapatientwithpulmonaryaspergillosis.ClinInfectDis，2006，43（3）：23-236.AgarwalR.Allergicbronchopulmonaryaspergillosis.Chest，2009，135：805-8267.ChabraSK，SahayandS，RamarajuK.Allergicbronchopulmonaryaspergillosiscomplicatingchildhoodasthma.IndianJPediatric，2009，76（3）：331-331 rewrited：参考文献1.胡亚美，江载芳.诸福棠实用<科室>儿科</科室>学.第7版.北京：人民卫生出版社，20022.江载芳.实用小儿呼吸病学.北京：人民卫生出版社，2010：2253.中华医学会<科室>儿科</科室>分会呼吸学组.儿童侵袭性肺部真菌感染诊治指南（儿童侵袭性真菌感染州医学.2009，22（3）：183-1834.肖晶，周东风，孟浦.儿童侵袭性真菌感染早期诊断的研究进展.国际<科室>儿科</科室>学杂志，2009，36（5）：523-5235.KlontRR，MenninkKerstenMH，RuegebrinkW，etal.ParadoxicalincreaseincirculatingHspergillusantigenduringtreatmentwithcaspofungininapatientwithpulmonaryaspergillosis.ClinInfectDis，2006，43（3）：23-236.AgarwalR.Allergicbronchopulmonaryaspergillosis.Chest，2009，135：805-8267.ChabraSK，SahayandS，RamarajuK.Allergicbronchopulmonaryaspergillosiscomplicatingchildhoodasthma.IndianJPediatric，2009，76（3）：331-331 ``` text：间接法则是在进行肾肾动态显像很少时，令受检者尽量憋住尿，然后用力排尿，在此过程中用γ相机快速照相，也可观察有无膀胱输尿管反流的存在和程度。 rewrited： </code></pre> </details> <details> <summary>ccks2019_task1_prompt</summary> <pre><code>识别医学方面的实体，如：实验室检验，药物，影像检查，疾病和诊断，解剖部位，手术等。 示例： ------ raw_text：入院前14年患者检查发现血糖升高，血糖具体值不详，有口干、多饮、多尿等症状，伴四肢麻木，并有感觉异常，自觉肢体冰凉，伴视物模糊，于外院诊断为“2型糖尿病糖尿病周围神经病变糖尿病眼病”，后长期服用“格列美脲、伏格列波糖、罗格列酮”等降血糖，半年前于我科住院，出院后使用“来得时+阿卡波糖”降糖，但院外患者自行加用“格列美脲”降糖，偶有心慌冒汗症状。1+年前患者因活动后心累心悸，偶有干咳，感肢体麻木冰凉较明显，伴有腰部及上肢疼痛，自觉健忘症状加重，于我院内一科住院，查肾功：尿素 16.00 mmol/L、肌酐 141.7 μmol/l，诊断为“糖尿病肾病、原发性高血压3级极高危高血压性心脏病”，治疗后好转出院；半年前因腹泻于我科住院，检查肾功：尿素 19.79 mmol/L、肌酐 225.2 μmol/l及其他检查，诊断“1.2型糖尿病糖尿病周围神经病变糖尿病眼病糖尿病肾病糖尿病植物神经病变 2.原发性高血压3级很高危高血压性心脏病 3.重度骨质疏松 4、甲状腺功能减退 5、冠状动脉粥样硬化心脏病”，治疗后好转出院，出院后未定期随访复查，并自行停用相关药物。3+月前患者感活动及爬坡后心累、气促明显，稍休息后能好转，并出现头昏痛，无视物旋转，无耳鸣，无发热，无呕吐，无黑便等，在院外自行服药（具体药名不详），效果欠佳,今为求治疗，来我科要求住院治疗。以“2型糖尿病、糖尿病肾病”收入院。患者此次发病以来精神食欲一般，长期睡眠差，经常服用“安眠药”，大便正常，诉长期解小便色偏黄，尿量不详，体重无明显上降。 outputs：疾病和诊断：糖尿病植物神经病变；原发性高血压3级很高危；糖尿病肾病；高血压性心脏病；糖尿病眼病；冠状动脉粥样硬化心脏病；血糖升高；重度骨质疏松；糖尿病周围神经病变；腹泻；2型糖尿病；甲状腺功能减退；原发性高血压3级极高危。解剖部位：腰部；肢体；上肢；四肢；耳；心；头。药物：阿卡波糖；罗格列酮；伏格列波糖；来得时；格列美脲。实验室检验：尿素；肌酐。 ------ raw_text：，患者2年余前（2009.11）因“腹泻”就诊********查肠镜提示升结肠癌，行升结肠癌根治术，手术及术后病理不详，术后行9个周期FOLFOX化疗，末次化疗2010.4结束。化疗后患者出现II度的神经毒性，主要表现为手足麻木明显。患者2011.1.6复查CT发现肝脏转移瘤，2011.1.12行肝转移瘤微波固化术，2011.2.22CT提示肝转移，两上肺转移瘤，2011.2.23再次行肝转移瘤微波固化术。2011.3.1起行FOLFIRI方案化疗8次，末次2011.7.28，总体疗效SD。此后患者停止化疗。2011-11-24，我院CT示：“，与2011-10-21片对比：两肺多发转移瘤较前增大；肝内多发病灶，较前明显增多、增大。腹腔干旁及肠系膜根部软组织影及结节灶，考虑淋巴结转移可能性大,较前明显。子宫直肠窝内多发结节，考虑种植转移可能性大。膀胱后壁结节状增厚，考虑转移瘤可能性大。右侧髂内外血管旁淋巴结，可疑转移。”于2011-11-25、12-9、12-27、2012-1-12行CPT-11+C225化疗4程。近来，患者自觉左中上腹疼痛，胃纳食欲不佳，大便干，血尿，伴尿频、尿痛，偶有尿失禁，近2天乏力明显，体重近期上降2KG。 outputs：解剖部位：右侧髂内外血管旁淋巴结；腹；肠；手；胃；腹腔干旁；足；左中上腹；肝；子宫直肠窝；膀胱。疾病和诊断：肝脏转移瘤；升结肠癌；两肺多发转移瘤；肝转移，两上肺转移瘤。手术：肝转移瘤微波固化术；升结肠癌根治术。影像检查：CT。药物：CPT-11；C225。 ------ 注意： 1. 每个实体类型占一行。 2. 实体类型起头，实体原始文本用 "；" 隔开。例如：entity_name：entity_text1；entity_text2。 text: ------ ，患者4个月前因“便秘2月余”入住我院消化内科，行胸、腹、，盆腔CT示：两肺上叶纤维灶，肝多发囊肿、肾囊肿，直肠壁增厚、符合直肠CA表现。为行手术治疗，转我科。完善相关术前检查后，于2016-02-15行直肠癌根治术，，术后病理：直肠腺癌（中低度分化），部分呈粘液腺癌图像，浸润溃疡型，体积6.5*5*0.6CM。侵达被膜。双端切线及另送“直肠近切线”、“直肠远切线”未查见癌。呈肠壁一站（2/11个）淋巴结癌转移。符合炎性增生性息肉。，免疫组化染色示：TS部分（+）、SYN（-）。术后给予补液，换药及对症支持治疗并口服希罗达行化学治疗。院外期间患者一般情况可，无发热，无腹痛腹胀胀不适，现患者为行复查及本周期化疗再次来我院就诊，门诊以“直肠术后”收住入院。患者自下次出院来，神志清，精神可，饮食尚可，大小便正常，体重无明显变化。 ------ output: </code></pre> </details> <details> <summary>ccks2019_task1_prompt</summary> <pre><code>实体识别。需要识别的实体类型有： “手术”，“解剖部位”。 注意： - 识别到的实体必须以 json 格式输出。其中包括 key: text: 实体原始文本。label: 实体类型标签。 - 注意一定要生成合法的 json 字符串。 - 示例中的实体标注的可能不是很精确。 示例： ``` text：缘于1+月前患者因“CINIII级”在我院行“LEEP”术，术后病理报告（2014.10.27）：(宫颈组织)宫颈粘膜慢性炎伴纳氏囊肿、糜烂，鳞状下皮CINIII级累及腺体，并伴局部区域微小浸润，宫颈管切端未见病变累及。建议行“残余子宫切除术”。遂今就诊我院，要求住院手术治疗，无阴道出血、异常排液，无发热、腹痛、腹胀、尿频、尿急等不适，故门诊拟“CINIII级”收入院。发病以来精神、睡眠、食欲尚可，大便如下述，小便正常，体重有明显减轻。 outputs： {"text": "“LEEP”术", "label": "手术"} {"text": "宫颈管", "label": "解剖部位"} {"text": "残余子宫切除术", "label": "手术"} {"text": "阴道", "label": "解剖部位"} {"text": "腹", "label": "解剖部位"} {"text": "腹", "label": "解剖部位"} ``` text：，患者2015-06因“无明显诱因出现大便带鲜血，量少，伴大便次数增加至2-3次/天5月”，外院肠镜检查提示乙状结肠距肛门18-20CM肿物，大小2×1CM，肠镜能通过，活检病理提示腺癌，大肠多发息肉。转诊我院2015-06-20在全麻上行DIXON术，，术后病理示：（乙状结肠大体）镜检为结肠中分化腺癌，浸润至肠壁浆膜上层，癌组织侵犯神经束，脉管内见癌栓；经多取材另见淋巴结2枚，未见癌。2（近切缘）未见癌。3（远切缘）未见癌。4（中央组淋巴结）1枚，未见癌。5（中间组淋巴结）2枚，1/2见腺癌转移。6（肠旁淋巴结）2枚，未见癌。，免疫组化：ER（-），ERCC1（+），MLH1（+），MSH2（+），MSH6（+），PMS2（+），KI67（70%+），分期PT3N1AM0,IIIB期。术顺，术后切口愈合佳。于2015-07-18、2015-08-07、2015-08-28行XELOX方案辅助化疗3程，过程顺利。3程化疗后于2015-09-17行胸片及彩超复查未见肿瘤复发转移征象。现患者为行上程化疗入院。近3周来，患者精神睡眠可，胃纳可，二便正常，体重无明显上降。 outputs： </code></pre> </details> <details> <summary>cluener2020_prompt</summary> <pre><code>实体识别。以新浪新闻进行细粒度命名实体标注，实体类型包括：government，organization 等。 小样本示例： ``` raw_text：3月17日，发现客户信用卡被人冒名补办的银行方，向督院街派出所报了案。案侦民警立即开始调查取证， outputs： government：向督院街派出所。 ``` raw_text：坐在方向盘前的正是有24年驾龄的公交司机冉涌。据万州公安交巡警支队通报, outputs： government：万州公安交巡警支队。 ``` raw_text：金石开：从往绩来看，阿森纳对桑德兰拥有压倒性的优势，英超以来交手全部获胜。不过，上赛季枪手两战“ outputs： organization：枪手；英超；桑德兰；阿森纳。 ``` 请从以下文本中识别实体。 注意： 1. 用实体类型起头，后接实体原始文本，用 "：" 隔开。例如：entity_type：entity_text1；entity_text2；...。 2. 每个实体类型占一行。 3. 不要输出其它的实体类型。 text： ``` 随后报警。警方调取银行录像，认出取钱者为周清来，并将其抓获。周清来交代，取走的6. ``` outputs： </code></pre> </details> <details> <summary>cluener2020_prompt</summary> <pre><code>实体识别。以新浪新闻进行细粒度命名实体标注，实体类型包括：government，organization 等。 小样本示例： ``` raw_text：3月17日，发现客户信用卡被人冒名补办的银行方，向督院街派出所报了案。案侦民警立即开始调查取证， outputs： government：向督院街派出所。 ``` raw_text：坐在方向盘前的正是有24年驾龄的公交司机冉涌。据万州公安交巡警支队通报, outputs： government：万州公安交巡警支队。 ``` raw_text：金石开：从往绩来看，阿森纳对桑德兰拥有压倒性的优势，英超以来交手全部获胜。不过，上赛季枪手两战“ outputs： organization：枪手；英超；桑德兰；阿森纳。 ``` 请从以下文本中识别实体。 注意： 1. 用实体类型起头，后接实体原始文本，用 "：" 隔开。例如：entity_type：entity_text1；entity_text2；...。 2. 每个实体类型占一行。 3. 不要输出其它的实体类型。 text： ``` 随后报警。警方调取银行录像，认出取钱者为周清来，并将其抓获。周清来交代，取走的6. ``` outputs： </code></pre> </details> <details> <summary>ecommerce_prompt</summary> <pre><code>从句子中识别出 “商品”，“型号” 实体，并以 json 格式输出。 示例： ``` text：蜜蜂产品与保健,书籍,保养保健 outputs： {"entity_text": "书籍", "entity_type": "商品"} ``` text：时尚多款雨天防臭平底高筒雨鞋防水雨靴红蓝紫色单靴蓝色防滑胶鞋 outputs： {"entity_text": "雨鞋", "entity_type": "商品"} {"entity_text": "雨靴", "entity_type": "商品"} {"entity_text": "单靴", "entity_type": "商品"} {"entity_text": "胶鞋", "entity_type": "商品"} ``` text：足量,qd,mmc,plus卡,512m,内存卡,相机/老款手机,mmc,512m一体卡 outputs： {"entity_text": "qd", "entity_type": "型号"} {"entity_text": "mmc", "entity_type": "型号"} {"entity_text": "plus", "entity_type": "型号"} {"entity_text": "卡", "entity_type": "商品"} {"entity_text": "内存卡", "entity_type": "商品"} {"entity_text": "相机", "entity_type": "商品"} {"entity_text": "手机", "entity_type": "商品"} {"entity_text": "mmc", "entity_type": "型号"} {"entity_text": "512m", "entity_type": "型号"} {"entity_text": "一体卡", "entity_type": "商品"} ``` text：儿童披风秋冬新款男童女童斗篷宝宝披肩婴儿装棉呢子加厚外套风衣 outputs： </code></pre> </details> <details> <summary>ecommerce_prompt</summary> <pre><code>实体识别。 请你对句子进行重写并标注出其中包含的实体：产品型号, 品牌, 产品, 其它实体。 示例： ------ text：全新正品2脚放电管75v,2d075gdt,放电管2r075-8,防雷管2脚75v rewrited：全新正品2脚<产品>放电管</产品>75v,<产品型号>2d075gdt</产品型号>,<产品>放电管</产品><产品型号>2r075-8</产品型号>,<产品>防雷管</产品>2脚75v ------ text：标致5008后备箱垫七座专用5008汽车全包围尾箱垫标志5008内饰改装 rewrited：<品牌>标致</品牌><产品型号>5008</产品型号><产品>后备箱垫</产品>七座专用<产品型号>5008</产品型号><产品>汽车</产品>全包围<产品>尾箱垫</产品><品牌>标志</品牌><产品型号>5008</产品型号><产品>内饰</产品>改装 ------ text：桂林特产7度漓泉纯生啤酒330ml&times rewrited：<其它实体>桂林</其它实体><产品>特产</产品><其它实体>7度</其它实体><品牌>漓泉</品牌><产品>纯生啤酒</产品><其它实体>330ml</其它实体>&times ------ text：烤面筋 rewrited： <产品>烤面筋</产品> </code></pre> </details> <details> <summary>nlpcc2018_task4_prompt</summary> <pre><code>从句子中识别出 “Age”，“Destination”，“Singer”，“Style”，“Custom Destination”，“Instrument” 实体。 示例： ``` text：放一首儿歌给我放一首儿歌 outputs： Age：儿歌。 ``` text：我想去中国人民保险 outputs： Destination：中国人民保险。 ``` text：导航去茌平 outputs： Destination：茌平。 ``` text：播放diddy outputs： Singer：diddy。 ``` text：想听齐秦齐豫的心经 outputs： Singer：齐豫；齐秦。 ``` text：播放酒吧摇滚音乐 outputs： Style：摇滚。 ``` text：串烧乐曲 outputs： Style：串烧。 ``` text：我要回家 outputs： Custom Destination：家。 ``` text：我要去公司 outputs： Custom Destination：公司。 ``` text：播放锁那 outputs： Instrument：锁那。 ``` text：萨克斯 outputs： Instrument：萨克斯。 ``` text：播放广东雨神的广东爱情故事 outputs： </code></pre> </details> <details> <summary>nlpcc2018_task4_prompt</summary> <pre><code>虚拟助手槽位提取。 请你对句子进行重写并标注出其中包含的槽值。 需要的槽值有：乐器名称，语言，年代。 示例： ### text：古筝音乐 rewrited：<乐器名称>古筝</乐器名称>音乐 ### text：播放古筝 rewrited：播放<乐器名称>古筝</乐器名称> ### text：多放一点dj dj的中文歌曲 rewrited：多放一点dj dj的<语言>中文</语言>歌曲 ### text：播放藏族歌曲 rewrited：播放<语言>藏族</语言>歌曲 ### text：播放儿歌蓝皮鼠和大脸猫的主题曲 rewrited：播放<年代>儿歌</年代>蓝皮鼠和大脸猫的主题曲 ### text：播放儿童歌曲 rewrited：播放<年代>儿童</年代>歌曲 ### text：播放前小白的关灯与神 rewrited：播放前小白的关灯与神 </code></pre> </details> ### 数据来源 #### 汉语实体识别 | 数据 | 原始数据/项目地址 | 样本个数 | 实体类型 | 原始数据描述 | 替代数据下载地址 | | :--- | :---: | :---: | :---: | :---: | :---: | | CMeEE | [CBLUE](http://www.cips-chip.org.cn/2021/CBLUE); [天池下载](https://tianchi.aliyun.com/dataset/95414) | 20000 | 儿科疾病, 身体部位, 临床表现, 医疗程序, 等 9 大类医学实体 | 医学实体识别任务 | [nlhappy/CMeEE](https://huggingface.co/datasets/nlhappy/CMeEE) [Rosenberg/CMeEE-V2](https://huggingface.co/datasets/Rosenberg/CMeEE-V2) | | CCKS2019_task1 | [Yidu-S4K](http://openkg.cn/dataset/yidu-s4k) | 1379 | 解剖部位, 手术, 疾病和诊断, 药物, 实验室检验, 影像检查 | CCKS2019面向中文电子病历的命名实体识别数据集 | | | CLUENER2020 | [CLUE](https://www.cluebenchmarks.com/introduce.html); [CLUENER](https://storage.googleapis.com/cluebenchmark/tasks/cluener_public.zip) | 12091 | 游戏, 组织, 政府, 电影, 人名, 书籍, 公司, 场景, 职位, 地址 | CLUENER2020数据集 | | | MSRA | [MSRA](https://www.msra.cn/) | 48442 | 地址, 组织, 人名 | MSRA微软亚洲研究院开源命名实体识别数据集 | [doushabao4766/msra_ner_k_V3_wc_bioes](https://huggingface.co/datasets/doushabao4766/msra_ner_k_V3_wc_bioes); [msra_ner](https://huggingface.co/datasets/msra_ner) | | NLPCC2018_task4 | [NLPCC2018](http://tcci.ccf.org.cn/conference/2018/taskdata.php); [NLPCC2018_task4](http://tcci.ccf.org.cn/conference/2018/dldoc/trainingdata04.zip) | 21352 | 歌手, 歌曲, 主题, 情感, 风格, 目的地, 电话号码, 乐器, 聊系人, 年龄, 热门列表, 自定义目的地, 语种, 场景, 出发地 | 任务型对话系统数据数据集 | | | CCFBDCI | [CCFBDCI填写申请表后可下载](https://www.datafountain.cn/competitions/510/datasets) | 15723 | LOC、GPE、ORG和PER | 中文命名实体识别算法鲁棒性评测数据集 | | | MMC | [MMC](https://tianchi.aliyun.com/competition/entrance/231687/information) [MMC数据集](https://aistudio.baidu.com/datasetdetail/146995) | 3498 | 实体类型 | 瑞金医院MMC人工智能辅助构建知识图谱大赛数据集 | | | WeiBo | [WeiBo](https://github.com/hltcoe/golden-horse/tree/master) | 1890 | LOC.NAM、LOC.NOM、PER.NAM、ORG.NOM、ORG.NAM、GPE.NAM和PER.NOM | 社交媒体中文命名实体识别数据集 | | | ECommerce | [ECommerce](https://github.com/allanj/ner_incomplete_annotation/tree/master) | 7998 | MISC、XH、HPPX和HCCX | 面向电商的命名实体识别数据集 | | | YouKu | [YouKu](https://github.com/allanj/ner_incomplete_annotation/tree/master) | | MISC、XH、HPPX和HCCX | 面向电商的命名实体识别数据集 | | | FinanceSina | [FinanceSina](https://github.com/jiesutd/LatticeLSTM/tree/master) | 1579 | LOC、GPE、ORG和PER | 新浪财经爬取中文命名实体识别数据集 | | | Resume | [Resume](https://github.com/jiesutd/LatticeLSTM/tree/master/ResumeNER) | 4761 | NAME、EDU、LOC、ORG、PRO、TITLE、CONT和RACE | 中国股市上市公司高管的简历 | | | Bank | [Bank](https://www.heywhale.com/mw/dataset/617969ec768f3b0017862990/file) | 10000 | BANK、COMMENTS_ADJ、COMMENTS_N和PRODUCT | 银行借贷数据数据集 | | | DLNER | [DLNER](https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset/tree/master) | 28897 | Location、Thing、Abstract、Organization、Metric、Time、Physical、Person和Term | 语篇级命名实体识别数据集 | | | people_daily | [china-people-daily-ner](https://tianchi.aliyun.com/dataset/128270); [china-people-daily-ner-corpus.tar.gz](http://s3.bmio.net/kashgari/china-people-daily-ner-corpus.tar.gz) | train: 20864; valid: 2318; test: 4636; | LOC; ORG; PER; | 1998人民日报序列标注; People's Daily(人民日报) dataset | [xusenlin/people-daily-ner](https://huggingface.co/datasets/xusenlin/people-daily-ner); [peoples_daily_ner](https://huggingface.co/datasets/peoples_daily_ner); [Chinese-NLP-Corpus](https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily) | #### 英语实体识别 | 数据 | 原始数据/项目地址 | 样本个数 | 实体类型 | 原始数据描述 | 替代数据下载地址 | | :--- | :---: | :---: | :---: | :---: | :---: | | limit | [LiMiT: The Literal Motion in Text Dataset](https://aclanthology.org/2020.findings-emnlp.88/) | train: 23559; valid: 1000 | 无实体类型 | motion 识别是许多生命形式的基本认知能力之一，但在自然语言中识别物理实体的 motion 尚未得到广泛和实证的探索。| [limit](https://huggingface.co/datasets/limit) | | conll2003 | [CoNLL-2003](https://aclanthology.org/W03-0419/) | train: 14K; valid: 3.25K; test: 3.45K | PER, ORG, LOC, MISC | CoNLL-2003 | [conll2003](https://huggingface.co/datasets/conll2003); [conllpp](https://huggingface.co/datasets/conllpp) | | ncbi_disease | [NCBI disease corpus](https://www.sciencedirect.com/science/article/pii/S1532046413001974?via%3Dihub) | train: 5.43K; valid: 924; test: 941 | Disease | 该数据集包含 NCBI 疾病语料库的疾病名称和概念注释，该语料库包含 793 篇 PubMed 摘要，在提及和概念级别进行了完整注释，可作为生物医学自然语言处理社区的研究资源。 | [ncbi_disease](https://huggingface.co/datasets/ncbi_disease) | | xglue | [XGLUE](https://arxiv.org/abs/2004.01401); [XGLUE](https://microsoft.github.io/XGLUE/) | | | XGLUE 是一个新的基准数据集，用于评估跨语言预训练模型在跨语言自然语言理解和生成方面的性能。 | [xglue](https://huggingface.co/datasets/xglue) | | plod | [PLOD](https://arxiv.org/abs/2204.12061); [PLOD-AbbreviationDetection](https://github.com/surrey-nlp/PLOD-AbbreviationDetection) | train: 1.06M; test: 118K | long; short; | 从非结构化文本中检测和提取缩写有助于提高自然语言处理任务的性能，例如机器翻译和信息检索。 | [batterydata/abbreviation_detection](https://huggingface.co/datasets/batterydata/abbreviation_detection) | | acronym_identification | [Acronym Identification](https://sites.google.com/view/sdu-aaai21/shared-task); [AAAI-21-SDU-shared-task-1-AI](https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI) | train: 14K; valid: 1.72K; test: 1.75K; | long; short; | SDU@AAAI-21 的首字母缩写词识别任务 | [acronym_identification](https://huggingface.co/datasets/acronym_identification) | | bc2gm | [bc2gm-corpus](https://github.com/spyysalo/bc2gm-corpus/raw/master/conll/); [Overview of BioCreative II gene mention recognition](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559986/) | train: 12.5K; valid: 2.5K; test: 5K; | 实体类型 | 原始数据描述 | [bc2gm_corpus](https://huggingface.co/datasets/bc2gm_corpus) | #### 西班牙语实体识别 | 数据 | 原始数据/项目地址 | 样本个数 | 实体类型 | 原始数据描述 | 替代数据下载地址 | | :--- | :---: | :---: | :---: | :---: | :---: | | ehealth_kd | [eHealth-KD 2020](https://ceur-ws.org/Vol-2664/eHealth-KD_overview.pdf); [Testing data](https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data/testing) | train: 800; valid: 199; test: 100 | Concept, Action, Predicate, Reference | IberLEF 2020 上 eHealth-KD 挑战赛的数据集。它旨在识别西班牙健康文档中的语义实体和关系。 | [ehealth_kd](https://huggingface.co/datasets/ehealth_kd) | ### 参考来源 <details> <summary>参考的数据来源,展开查看</summary> <pre><code> [ttxy/cn_ner](https://huggingface.co/datasets/ttxy/cn_ner) [xusenlin/clue-ner](https://huggingface.co/datasets/xusenlin/clue-ner) [xusenlin/people-daily-ner](https://huggingface.co/datasets/xusenlin/people-daily-ner) [peoples_daily_ner](https://huggingface.co/datasets/peoples_daily_ner) [weibo_ner](https://huggingface.co/datasets/weibo_ner) [Rosenberg/weibo_ner](https://huggingface.co/datasets/Rosenberg/weibo_ner) [OneFly/NER](https://huggingface.co/datasets/OneFly/NER) [djagatiya/ner-ontonotes-v5-eng-v4](https://huggingface.co/datasets/djagatiya/ner-ontonotes-v5-eng-v4) [Adapting/chinese_biomedical_NER_dataset](https://huggingface.co/datasets/Adapting/chinese_biomedical_NER_dataset) [nlhappy/CLUE-NER](https://huggingface.co/datasets/nlhappy/CLUE-NER) [ttxy/resume_ner](https://huggingface.co/datasets/ttxy/resume_ner) [doushabao4766/ccks_2019_ner_k_V3_wc](https://huggingface.co/datasets/doushabao4766/ccks_2019_ner_k_V3_wc) </code></pre> </details>

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open-llm-leaderboard/details_janhq__supermario-slerp-v2

open-llm-leaderboard

2023-12-12T07:24:03Z

0

[ "region:us" ]

null

2023-12-12T07:23:22Z

--- pretty_name: Evaluation run of janhq/supermario-slerp-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/supermario-slerp-v2](https://huggingface.co/janhq/supermario-slerp-v2)\ \ 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_janhq__supermario-slerp-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T07:20:29.210830](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp-v2/blob/main/results_2023-12-12T07-20-29.210830.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\": 0.6523192880412831,\n\ \ \"acc_stderr\": 0.031929152104876686,\n \"acc_norm\": 0.6535004820907845,\n\ \ \"acc_norm_stderr\": 0.03257318036897926,\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6295900737174474,\n\ \ \"mc2_stderr\": 0.015194573521166509\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6680887372013652,\n \"acc_stderr\": 0.01376098820088054,\n\ \ \"acc_norm\": 0.6936860068259386,\n \"acc_norm_stderr\": 0.013470584417276513\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6837283409679347,\n\ \ \"acc_stderr\": 0.004640699483543311,\n \"acc_norm\": 0.8659629555865366,\n\ \ \"acc_norm_stderr\": 0.003399958334372066\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7236842105263158,\n \"acc_stderr\": 0.03639057569952928,\n\ \ \"acc_norm\": 0.7236842105263158,\n \"acc_norm_stderr\": 0.03639057569952928\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n\ \ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.028254200344438662,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.028254200344438662\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|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_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.048971049527263666,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.048971049527263666\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5872340425531914,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.5872340425531914,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n\ \ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7870967741935484,\n \"acc_stderr\": 0.023287665127268552,\n \"\ acc_norm\": 0.7870967741935484,\n \"acc_norm_stderr\": 0.023287665127268552\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n \"\ acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\ : 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\ \ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.676923076923077,\n \"acc_stderr\": 0.02371088850197057,\n \ \ \"acc_norm\": 0.676923076923077,\n \"acc_norm_stderr\": 0.02371088850197057\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.02857834836547308,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.02857834836547308\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8550458715596331,\n \"acc_stderr\": 0.015094215699700488,\n \"\ acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.015094215699700488\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.8578431372549019,\n \"acc_stderr\": 0.02450980392156861,\n\ \ \"acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.02450980392156861\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8270042194092827,\n \"acc_stderr\": 0.024621562866768427,\n \ \ \"acc_norm\": 0.8270042194092827,\n \"acc_norm_stderr\": 0.024621562866768427\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077802,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077802\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8365261813537676,\n\ \ \"acc_stderr\": 0.013223928616741624,\n \"acc_norm\": 0.8365261813537676,\n\ \ \"acc_norm_stderr\": 0.013223928616741624\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7167630057803468,\n \"acc_stderr\": 0.02425790170532338,\n\ \ \"acc_norm\": 0.7167630057803468,\n \"acc_norm_stderr\": 0.02425790170532338\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.41675977653631285,\n\ \ \"acc_stderr\": 0.016489134962438954,\n \"acc_norm\": 0.41675977653631285,\n\ \ \"acc_norm_stderr\": 0.016489134962438954\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818737,\n\ \ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818737\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\ \ \"acc_stderr\": 0.026003301117885135,\n \"acc_norm\": 0.7009646302250804,\n\ \ \"acc_norm_stderr\": 0.026003301117885135\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \ \ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4595827900912647,\n\ \ \"acc_stderr\": 0.01272844606766997,\n \"acc_norm\": 0.4595827900912647,\n\ \ \"acc_norm_stderr\": 0.01272844606766997\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6683006535947712,\n \"acc_stderr\": 0.019047485239360378,\n \ \ \"acc_norm\": 0.6683006535947712,\n \"acc_norm_stderr\": 0.019047485239360378\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142783,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142783\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8507462686567164,\n\ \ \"acc_stderr\": 0.025196929874827072,\n \"acc_norm\": 0.8507462686567164,\n\ \ \"acc_norm_stderr\": 0.025196929874827072\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\ \ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6295900737174474,\n\ \ \"mc2_stderr\": 0.015194573521166509\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8082083662194159,\n \"acc_stderr\": 0.011065209664659527\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6345716451857468,\n \ \ \"acc_stderr\": 0.013264282030266635\n }\n}\n```" repo_url: https://huggingface.co/janhq/supermario-slerp-v2 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|arc:challenge|25_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T07-20-29.210830.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|gsm8k|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hellaswag|10_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-20-29.210830.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-20-29.210830.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T07-20-29.210830.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T07_20_29.210830 path: - '**/details_harness|winogrande|5_2023-12-12T07-20-29.210830.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T07-20-29.210830.parquet' - config_name: results data_files: - split: 2023_12_12T07_20_29.210830 path: - results_2023-12-12T07-20-29.210830.parquet - split: latest path: - results_2023-12-12T07-20-29.210830.parquet --- # Dataset Card for Evaluation run of janhq/supermario-slerp-v2  Dataset automatically created during the evaluation run of model [janhq/supermario-slerp-v2](https://huggingface.co/janhq/supermario-slerp-v2) 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_janhq__supermario-slerp-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T07:20:29.210830](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp-v2/blob/main/results_2023-12-12T07-20-29.210830.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": 0.6523192880412831, "acc_stderr": 0.031929152104876686, "acc_norm": 0.6535004820907845, "acc_norm_stderr": 0.03257318036897926, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6295900737174474, "mc2_stderr": 0.015194573521166509 }, "harness|arc:challenge|25": { "acc": 0.6680887372013652, "acc_stderr": 0.01376098820088054, "acc_norm": 0.6936860068259386, "acc_norm_stderr": 0.013470584417276513 }, "harness|hellaswag|10": { "acc": 0.6837283409679347, "acc_stderr": 0.004640699483543311, "acc_norm": 0.8659629555865366, "acc_norm_stderr": 0.003399958334372066 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7236842105263158, "acc_stderr": 0.03639057569952928, "acc_norm": 0.7236842105263158, "acc_norm_stderr": 0.03639057569952928 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6981132075471698, "acc_stderr": 0.028254200344438662, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.028254200344438662 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5872340425531914, "acc_stderr": 0.03218471141400351, "acc_norm": 0.5872340425531914, "acc_norm_stderr": 0.03218471141400351 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5793103448275863, "acc_stderr": 0.0411391498118926, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.0411391498118926 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268552, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268552 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7878787878787878, "acc_stderr": 0.03192271569548301, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.03192271569548301 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.676923076923077, "acc_stderr": 0.02371088850197057, "acc_norm": 0.676923076923077, "acc_norm_stderr": 0.02371088850197057 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32592592592592595, "acc_stderr": 0.02857834836547308, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.02857834836547308 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.680672268907563, "acc_stderr": 0.030283995525884396, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.030283995525884396 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8550458715596331, "acc_stderr": 0.015094215699700488, "acc_norm": 0.8550458715596331, "acc_norm_stderr": 0.015094215699700488 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8578431372549019, "acc_stderr": 0.02450980392156861, "acc_norm": 0.8578431372549019, "acc_norm_stderr": 0.02450980392156861 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8270042194092827, "acc_stderr": 0.024621562866768427, "acc_norm": 0.8270042194092827, "acc_norm_stderr": 0.024621562866768427 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077802, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077802 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, 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[More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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mj96/dutch_golden_age

mj96

2023-12-12T07:25:15Z

0

[ "region:us" ]

null

2023-12-12T07:23:43Z

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 1399737.0 num_examples: 17 download_size: 1400981 dataset_size: 1399737.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

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open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M

open-llm-leaderboard

2023-12-12T07:36:43Z

0

[ "region:us" ]

null

2023-12-12T07:36:01Z

--- pretty_name: Evaluation run of xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M](https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M)\ \ 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_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T07:34:24.161560](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M/blob/main/results_2023-12-12T07-34-24.161560.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\": 0.2574568669647554,\n\ \ \"acc_stderr\": 0.03077370055460631,\n \"acc_norm\": 0.258555233951132,\n\ \ \"acc_norm_stderr\": 0.031529415596877046,\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38841425251899087,\n\ \ \"mc2_stderr\": 0.014859033830490542\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.1945392491467577,\n \"acc_stderr\": 0.011567709174648728,\n\ \ \"acc_norm\": 0.24573378839590443,\n \"acc_norm_stderr\": 0.012581033453730113\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2842063333997212,\n\ \ \"acc_stderr\": 0.004501137895230712,\n \"acc_norm\": 0.29426409081856203,\n\ \ \"acc_norm_stderr\": 0.00454779896412667\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.2518518518518518,\n\ \ \"acc_stderr\": 0.037498507091740234,\n \"acc_norm\": 0.2518518518518518,\n\ \ \"acc_norm_stderr\": 0.037498507091740234\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123398,\n\ \ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123398\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.22,\n\ \ \"acc_stderr\": 0.0416333199893227,\n \"acc_norm\": 0.22,\n \ \ \"acc_norm_stderr\": 0.0416333199893227\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.02461829819586651,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.02461829819586651\n },\n\ \ \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|5\": {\n \"acc\"\ : 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171453,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171453\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.15,\n \"acc_stderr\": 0.035887028128263734,\n \"acc_norm\": 0.15,\n\ \ \"acc_norm_stderr\": 0.035887028128263734\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.2765957446808511,\n \"acc_stderr\": 0.0292418838696288,\n\ \ \"acc_norm\": 0.2765957446808511,\n \"acc_norm_stderr\": 0.0292418838696288\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2719298245614035,\n\ \ \"acc_stderr\": 0.04185774424022056,\n \"acc_norm\": 0.2719298245614035,\n\ \ \"acc_norm_stderr\": 0.04185774424022056\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.33793103448275863,\n \"acc_stderr\": 0.039417076320648906,\n\ \ \"acc_norm\": 0.33793103448275863,\n \"acc_norm_stderr\": 0.039417076320648906\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.24867724867724866,\n \"acc_stderr\": 0.02226181769240019,\n \"\ acc_norm\": 0.24867724867724866,\n \"acc_norm_stderr\": 0.02226181769240019\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.18253968253968253,\n\ \ \"acc_stderr\": 0.03455071019102146,\n \"acc_norm\": 0.18253968253968253,\n\ \ \"acc_norm_stderr\": 0.03455071019102146\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.3064516129032258,\n \"acc_stderr\": 0.026226485652553883,\n \"\ acc_norm\": 0.3064516129032258,\n \"acc_norm_stderr\": 0.026226485652553883\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.2561576354679803,\n \"acc_stderr\": 0.030712730070982592,\n \"\ acc_norm\": 0.2561576354679803,\n \"acc_norm_stderr\": 0.030712730070982592\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.3434343434343434,\n \"acc_stderr\": 0.033832012232444426,\n \"\ acc_norm\": 0.3434343434343434,\n \"acc_norm_stderr\": 0.033832012232444426\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.37823834196891193,\n \"acc_stderr\": 0.034998072761933396,\n\ \ \"acc_norm\": 0.37823834196891193,\n \"acc_norm_stderr\": 0.034998072761933396\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.35128205128205126,\n \"acc_stderr\": 0.024203665177902803,\n\ \ \"acc_norm\": 0.35128205128205126,\n \"acc_norm_stderr\": 0.024203665177902803\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895991,\n \ \ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895991\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.24369747899159663,\n \"acc_stderr\": 0.027886828078380565,\n\ \ \"acc_norm\": 0.24369747899159663,\n \"acc_norm_stderr\": 0.027886828078380565\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\ acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.3211009174311927,\n \"acc_stderr\": 0.020018149772733744,\n \"\ acc_norm\": 0.3211009174311927,\n \"acc_norm_stderr\": 0.020018149772733744\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.2647058823529412,\n \"acc_stderr\": 0.03096451792692341,\n \"\ acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.03096451792692341\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.2320675105485232,\n \"acc_stderr\": 0.027479744550808514,\n \ \ \"acc_norm\": 0.2320675105485232,\n \"acc_norm_stderr\": 0.027479744550808514\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.23766816143497757,\n\ \ \"acc_stderr\": 0.02856807946471428,\n \"acc_norm\": 0.23766816143497757,\n\ \ \"acc_norm_stderr\": 0.02856807946471428\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\":\ \ 0.2892561983471074,\n \"acc_stderr\": 0.04139112727635464,\n \"\ acc_norm\": 0.2892561983471074,\n \"acc_norm_stderr\": 0.04139112727635464\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\": 0.26993865030674846,\n \"acc_stderr\": 0.034878251684978906,\n\ \ \"acc_norm\": 0.26993865030674846,\n \"acc_norm_stderr\": 0.034878251684978906\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.23214285714285715,\n\ \ \"acc_stderr\": 0.04007341809755806,\n \"acc_norm\": 0.23214285714285715,\n\ \ \"acc_norm_stderr\": 0.04007341809755806\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.23300970873786409,\n \"acc_stderr\": 0.041858325989283136,\n\ \ \"acc_norm\": 0.23300970873786409,\n \"acc_norm_stderr\": 0.041858325989283136\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19230769230769232,\n\ \ \"acc_stderr\": 0.0258192332564837,\n \"acc_norm\": 0.19230769230769232,\n\ \ \"acc_norm_stderr\": 0.0258192332564837\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.2796934865900383,\n\ \ \"acc_stderr\": 0.016050792148036546,\n \"acc_norm\": 0.2796934865900383,\n\ \ \"acc_norm_stderr\": 0.016050792148036546\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.23410404624277456,\n \"acc_stderr\": 0.02279711027807114,\n\ \ \"acc_norm\": 0.23410404624277456,\n \"acc_norm_stderr\": 0.02279711027807114\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n\ \ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\ \ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.24183006535947713,\n \"acc_stderr\": 0.024518195641879334,\n\ \ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.024518195641879334\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.26366559485530544,\n\ \ \"acc_stderr\": 0.02502553850053234,\n \"acc_norm\": 0.26366559485530544,\n\ \ \"acc_norm_stderr\": 0.02502553850053234\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.023132376234543332,\n\ \ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.023132376234543332\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2801418439716312,\n \"acc_stderr\": 0.026789172351140245,\n \ \ \"acc_norm\": 0.2801418439716312,\n \"acc_norm_stderr\": 0.026789172351140245\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23663624511082137,\n\ \ \"acc_stderr\": 0.010855137351572735,\n \"acc_norm\": 0.23663624511082137,\n\ \ \"acc_norm_stderr\": 0.010855137351572735\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.4338235294117647,\n \"acc_stderr\": 0.030105636570016643,\n\ \ \"acc_norm\": 0.4338235294117647,\n \"acc_norm_stderr\": 0.030105636570016643\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2647058823529412,\n \"acc_stderr\": 0.017848089574913226,\n \ \ \"acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.017848089574913226\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.17272727272727273,\n\ \ \"acc_stderr\": 0.0362069183392922,\n \"acc_norm\": 0.17272727272727273,\n\ \ \"acc_norm_stderr\": 0.0362069183392922\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.2163265306122449,\n \"acc_stderr\": 0.026358916334904035,\n\ \ \"acc_norm\": 0.2163265306122449,\n \"acc_norm_stderr\": 0.026358916334904035\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.23880597014925373,\n\ \ \"acc_stderr\": 0.030147775935409217,\n \"acc_norm\": 0.23880597014925373,\n\ \ \"acc_norm_stderr\": 0.030147775935409217\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909281,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909281\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.1927710843373494,\n\ \ \"acc_stderr\": 0.03070982405056527,\n \"acc_norm\": 0.1927710843373494,\n\ \ \"acc_norm_stderr\": 0.03070982405056527\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.23976608187134502,\n \"acc_stderr\": 0.03274485211946956,\n\ \ \"acc_norm\": 0.23976608187134502,\n \"acc_norm_stderr\": 0.03274485211946956\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38841425251899087,\n\ \ \"mc2_stderr\": 0.014859033830490542\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.49013417521704816,\n \"acc_stderr\": 0.014049749833367589\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.02122820318423048,\n \ \ \"acc_stderr\": 0.003970449129848635\n }\n}\n```" repo_url: https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|arc:challenge|25_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T07-34-24.161560.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|gsm8k|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hellaswag|10_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-34-24.161560.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T07-34-24.161560.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T07-34-24.161560.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T07_34_24.161560 path: - '**/details_harness|winogrande|5_2023-12-12T07-34-24.161560.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T07-34-24.161560.parquet' - config_name: results data_files: - split: 2023_12_12T07_34_24.161560 path: - results_2023-12-12T07-34-24.161560.parquet - split: latest path: - results_2023-12-12T07-34-24.161560.parquet --- # Dataset Card for Evaluation run of xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M  Dataset automatically created during the evaluation run of model [xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M](https://huggingface.co/xzuyn/GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M) 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_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T07:34:24.161560](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__GPT-2-SlimOrcaDeduped-airoboros-3.1-MetaMathQA-SFT-124M/blob/main/results_2023-12-12T07-34-24.161560.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": 0.2574568669647554, "acc_stderr": 0.03077370055460631, "acc_norm": 0.258555233951132, "acc_norm_stderr": 0.031529415596877046, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38841425251899087, "mc2_stderr": 0.014859033830490542 }, "harness|arc:challenge|25": { "acc": 0.1945392491467577, "acc_stderr": 0.011567709174648728, "acc_norm": 0.24573378839590443, "acc_norm_stderr": 0.012581033453730113 }, "harness|hellaswag|10": { "acc": 0.2842063333997212, "acc_stderr": 0.004501137895230712, "acc_norm": 0.29426409081856203, "acc_norm_stderr": 0.00454779896412667 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2518518518518518, "acc_stderr": 0.037498507091740234, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.037498507091740234 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2, "acc_stderr": 0.02461829819586651, "acc_norm": 0.2, "acc_norm_stderr": 0.02461829819586651 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788992, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788992 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171453, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171453 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.15, "acc_stderr": 0.035887028128263734, "acc_norm": 0.15, "acc_norm_stderr": 0.035887028128263734 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2765957446808511, "acc_stderr": 0.0292418838696288, "acc_norm": 0.2765957446808511, "acc_norm_stderr": 0.0292418838696288 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2719298245614035, "acc_stderr": 0.04185774424022056, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.04185774424022056 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.33793103448275863, "acc_stderr": 0.039417076320648906, "acc_norm": 0.33793103448275863, "acc_norm_stderr": 0.039417076320648906 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.24867724867724866, "acc_stderr": 0.02226181769240019, "acc_norm": 0.24867724867724866, "acc_norm_stderr": 0.02226181769240019 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.18253968253968253, "acc_stderr": 0.03455071019102146, "acc_norm": 0.18253968253968253, "acc_norm_stderr": 0.03455071019102146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3064516129032258, "acc_stderr": 0.026226485652553883, "acc_norm": 0.3064516129032258, "acc_norm_stderr": 0.026226485652553883 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2561576354679803, "acc_stderr": 0.030712730070982592, "acc_norm": 0.2561576354679803, "acc_norm_stderr": 0.030712730070982592 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3434343434343434, "acc_stderr": 0.033832012232444426, "acc_norm": 0.3434343434343434, "acc_norm_stderr": 0.033832012232444426 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.37823834196891193, "acc_stderr": 0.034998072761933396, "acc_norm": 0.37823834196891193, "acc_norm_stderr": 0.034998072761933396 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.35128205128205126, "acc_stderr": 0.024203665177902803, "acc_norm": 0.35128205128205126, "acc_norm_stderr": 0.024203665177902803 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895991, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.02646611753895991 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.24369747899159663, "acc_stderr": 0.027886828078380565, "acc_norm": 0.24369747899159663, "acc_norm_stderr": 0.027886828078380565 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2980132450331126, "acc_stderr": 0.037345356767871984, "acc_norm": 0.2980132450331126, "acc_norm_stderr": 0.037345356767871984 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.3211009174311927, "acc_stderr": 0.020018149772733744, "acc_norm": 0.3211009174311927, "acc_norm_stderr": 0.020018149772733744 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.2647058823529412, "acc_stderr": 0.03096451792692341, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.03096451792692341 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.2320675105485232, "acc_stderr": 0.027479744550808514, "acc_norm": 0.2320675105485232, "acc_norm_stderr": 0.027479744550808514 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.23766816143497757, "acc_stderr": 0.02856807946471428, "acc_norm": 0.23766816143497757, "acc_norm_stderr": 0.02856807946471428 }, "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": 0.2892561983471074, "acc_stderr": 0.04139112727635464, "acc_norm": 0.2892561983471074, "acc_norm_stderr": 0.04139112727635464 }, "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": 0.26993865030674846, "acc_stderr": 0.034878251684978906, "acc_norm": 0.26993865030674846, "acc_norm_stderr": 0.034878251684978906 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.23214285714285715, "acc_stderr": 0.04007341809755806, "acc_norm": 0.23214285714285715, "acc_norm_stderr": 0.04007341809755806 }, "harness|hendrycksTest-management|5": { "acc": 0.23300970873786409, "acc_stderr": 0.041858325989283136, "acc_norm": 0.23300970873786409, "acc_norm_stderr": 0.041858325989283136 }, "harness|hendrycksTest-marketing|5": { "acc": 0.19230769230769232, "acc_stderr": 0.0258192332564837, "acc_norm": 0.19230769230769232, "acc_norm_stderr": 0.0258192332564837 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2796934865900383, "acc_stderr": 0.016050792148036546, "acc_norm": 0.2796934865900383, "acc_norm_stderr": 0.016050792148036546 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.23410404624277456, "acc_stderr": 0.02279711027807114, "acc_norm": 0.23410404624277456, "acc_norm_stderr": 0.02279711027807114 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2424581005586592, "acc_stderr": 0.014333522059217889, "acc_norm": 0.2424581005586592, "acc_norm_stderr": 0.014333522059217889 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.24183006535947713, "acc_stderr": 0.024518195641879334, "acc_norm": 0.24183006535947713, "acc_norm_stderr": 0.024518195641879334 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.26366559485530544, "acc_stderr": 0.02502553850053234, "acc_norm": 0.26366559485530544, "acc_norm_stderr": 0.02502553850053234 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.2222222222222222, "acc_stderr": 0.023132376234543332, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.023132376234543332 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2801418439716312, "acc_stderr": 0.026789172351140245, "acc_norm": 0.2801418439716312, "acc_norm_stderr": 0.026789172351140245 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.23663624511082137, "acc_stderr": 0.010855137351572735, "acc_norm": 0.23663624511082137, "acc_norm_stderr": 0.010855137351572735 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.4338235294117647, "acc_stderr": 0.030105636570016643, "acc_norm": 0.4338235294117647, "acc_norm_stderr": 0.030105636570016643 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.2647058823529412, "acc_stderr": 0.017848089574913226, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.017848089574913226 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.17272727272727273, "acc_stderr": 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"mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38841425251899087, "mc2_stderr": 0.014859033830490542 }, "harness|winogrande|5": { "acc": 0.49013417521704816, "acc_stderr": 0.014049749833367589 }, "harness|gsm8k|5": { "acc": 0.02122820318423048, "acc_stderr": 0.003970449129848635 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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5roop/ParlaSpeech-HR

5roop

2023-12-12T14:16:58Z

0

[ "region:us" ]

null

2023-12-12T07:38:51Z

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: dev path: data/dev-* dataset_info: features: - name: audio dtype: audio - name: transcript dtype: string - name: norm_transcript dtype: string - name: utterance_id_start dtype: string - name: utterance_id_end dtype: string - name: split dtype: string - name: Speaker_role dtype: string - name: Speaker_type dtype: string - name: Speaker_party dtype: string - name: Speaker_party_name dtype: string - name: Party_status dtype: string - name: Speaker_name dtype: string - name: Speaker_gender dtype: string - name: Speaker_birth dtype: string splits: - name: train num_bytes: 131437814281.216 num_examples: 402912 - name: test num_bytes: 173387757.0 num_examples: 513 - name: dev num_bytes: 163546294.0 num_examples: 500 download_size: 125983454130 dataset_size: 131774748332.216 --- # Dataset Card for "ParlaSpeech-HR" Mirror of http://hdl.handle.net/11356/1494 . The ParlaSpeech-HR dataset is built from parliamentary proceedings available in the Croatian part of the ParlaMint corpus and the parliamentary recordings available from the Croatian Parliament's YouTube channel. The corpus consists of segments 8-20 seconds in length. There are two transcripts available: the original one, and the one normalised via a simple rule-based normaliser. Each of the transcripts contains word-level alignments to the recordings. Each segment has a reference to the ParlaMint 2.1 corpus (http://hdl.handle.net/11356/1432) via utterance IDs. If a segment is based on a single utterance, speaker information for that segment is available as well. There is speaker information available for 381,849 segments, i.e., 95% of all segments. Speaker information consists of all the speaker information available from the ParlaMint 2.1 corpus (name, party, gender, age, status, role). There are all together 309 speakers in the dataset. The dataset is divided into a training, a development, and a testing subset. Development data consist of 500 segments coming from the 5 most frequent speakers, with the goal of not losing speaker variety on dev data. Test data consist of 513 segments that come from 3 male (258 segments) and 3 female speakers (255 segments). There are no segments coming from the 6 test speakers in the two remaining subsets. The 22,076 instances not having speaker information are not assigned to any of the three subsets. The remaining 380,836 instances form the training set. Please cite as ``` @misc{11356/1494, title = {{ASR} training dataset for Croatian {ParlaSpeech}-{HR} v1.0}, author = {Ljube{\v s}i{\'c}, Nikola and Kor{\v z}inek, Danijel and Rupnik, Peter and Jazbec, Ivo-Pavao and Batanovi{\'c}, Vuk and Baj{\v c}eti{\'c}, Lenka and Evkoski, Bojan}, url = {http://hdl.handle.net/11356/1494}, note = {Slovenian language resource repository {CLARIN}.{SI}}, copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)}, issn = {2820-4042}, year = {2022} } ```

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zhzhang93/test

zhzhang93

2023-12-12T09:43:55Z

0

[ "license:mit", "region:us" ]

null

2023-12-12T07:54:35Z

--- license: mit ---

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zhiqiulin/CLIP-FlanT5

zhiqiulin

2023-12-12T09:19:08Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T08:26:29Z

--- license: apache-2.0 ---

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jackcipher/baijiayun

jackcipher

2023-12-12T08:57:53Z

0

[ "region:us" ]

null

2023-12-12T08:57:30Z

--- dataset_info: features: - name: title dtype: string - name: body dtype: string splits: - name: train num_bytes: 61839024 num_examples: 4285 download_size: 12712589 dataset_size: 61839024 configs: - config_name: default data_files: - split: train path: data/train-* ---

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tigerbhai/Texmin_Dataset_Update

tigerbhai

2023-12-12T08:59:10Z

0

[ "region:us" ]

null

2023-12-12T08:59:09Z

--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 48606 num_examples: 100 download_size: 24177 dataset_size: 48606 configs: - config_name: default data_files: - split: train path: data/train-* ---

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lorinma/IE_Sharegpt_zh

lorinma

2023-12-12T09:49:22Z

0

[ "language:zh", "arxiv:2305.11527", "region:us" ]

null

2023-12-12T09:06:51Z

--- language: - zh --- 信息抽取的数据源来源于CoNLL ACE casis DuEE People Daily DuIE等数据集来源于 [InstructIE: A Chinese Instruction-based Information Extraction Dataset] (https://arxiv.org/abs/2305.11527)，感谢浙江大学[Cama组](https://github.com/zjunlp/KnowLM)的高质量工作！(btw我还是更喜欢你们老的cama这个名字虽然数据集都是单轮的，将格式改为Sharegpt的多轮对话形式可以和其他的多轮对话数据集兼容

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jiangdaniel/pokeman

jiangdaniel

2023-12-12T09:08:22Z

0

[ "region:us" ]

null

2023-12-12T09:08:21Z

--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 5590698.0 num_examples: 5 download_size: 5592192 dataset_size: 5590698.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

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hlt-lab/dialogsumsample-expansions

hlt-lab

2023-12-12T09:12:03Z

0

[ "region:us" ]

null

2023-12-12T09:12:00Z

--- dataset_info: features: - name: context dtype: string - name: response dtype: string - name: reference dtype: string splits: - name: train num_bytes: 16980 num_examples: 17 download_size: 17746 dataset_size: 16980 --- # Dataset Card for "dialogsumsample-expansions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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hlt-lab/xsumsample-expansions

hlt-lab

2023-12-12T09:12:06Z

0

[ "region:us" ]

null

2023-12-12T09:12:03Z

--- dataset_info: features: - name: context dtype: 'null' - name: response dtype: 'null' - name: reference dtype: 'null' - name: __index_level_0__ dtype: 'null' splits: - name: train download_size: 1181 dataset_size: 0 --- # Dataset Card for "xsumsample-expansions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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lorinma/ChineseCasualConversations

lorinma

2023-12-12T09:47:23Z

0

1

[ "task_categories:conversational", "task_categories:text-generation", "size_categories:1K<n<10K", "language:zh", "region:us" ]

[ "conversational", "text-generation" ]

2023-12-12T09:27:46Z

--- language: - zh task_categories: - conversational - text-generation size_categories: - 1K<n<10K --- 在LLM横行的今天，大家都在讲究SFT数据质量。相比于各种一板一眼的AI回复，又是step by step又是detailed reasoning，这种非常casual的对话显得那么的独特，更适合用作情感陪伴闲聊机器人的目的。本项目提供了一个大规模中文对话数据集，原始数据来自于清华大学的[LCCC(Large-scale Cleaned Chinese Conversation)数据集](https://github.com/thu-coai/CDial-GPT) 基于LCCC-large，但因为有1200万。故使用bert-base-chinese转换为embedding，且使用类knn的方法抽取了1万条。并转换成了sharegpt格式。从实用的角度来说，因为对话都只有两句，需要通过GPT进行续写。但是实测发现openai系列的太严肃了，失去了casual的味道。浅测了一下文心一言可以续写这种闲聊对话。只是测试了一下，并没有放在这个数据集中。当然了，最好的还是收集真实世界的对话。

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jonathanguedes26/yaratche

jonathanguedes26

2023-12-14T13:21:33Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T09:32:49Z

--- license: openrail ---

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harshithvh/alpaca_format1

harshithvh

2023-12-12T09:52:26Z

0

[ "region:us" ]

null

2023-12-12T09:50:39Z

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 412117 num_examples: 251 download_size: 88777 dataset_size: 412117 configs: - config_name: default data_files: - split: train path: data/train-* ---

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snow02/project1

snow02

2023-12-12T10:52:14Z

0

[ "license:unknown", "region:us" ]

null

2023-12-12T10:00:41Z

--- license: unknown ---

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krishnareddy/ner_samples

krishnareddy

2023-12-12T14:23:55Z

0

[ "task_categories:token-classification", "size_categories:10K<n<100K", "language:en", "license:mit", "medical", "region:us" ]

[ "token-classification" ]

2023-12-12T10:01:44Z

--- license: mit task_categories: - token-classification language: - en tags: - medical pretty_name: ner dataset format size_categories: - 10K<n<100K --- This is a sample repository to upload data files related to NER task

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kristmh/test_low_vs_random

kristmh

2023-12-12T10:13:58Z

0

[ "region:us" ]

null

2023-12-12T10:13:54Z

--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 9858380 num_examples: 12901 download_size: 4951220 dataset_size: 9858380 --- # Dataset Card for "test_low_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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kristmh/test_med_vs_high_low_priority

kristmh

2023-12-12T10:35:41Z

0

[ "region:us" ]

null

2023-12-12T10:35:37Z

--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 10457122 num_examples: 14910 download_size: 5259039 dataset_size: 10457122 --- # Dataset Card for "test_med_vs_high_low_priority" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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kristmh/test_med_vs_random

kristmh

2023-12-12T10:36:19Z

0

[ "region:us" ]

null

2023-12-12T10:36:16Z

--- configs: - config_name: default data_files: - split: test_separate path: data/test_separate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string splits: - name: test_separate num_bytes: 11937780 num_examples: 14520 download_size: 5828155 dataset_size: 11937780 --- # Dataset Card for "test_med_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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kristmh/med_vs_random

kristmh

2023-12-12T10:37:27Z

0

[ "region:us" ]

null

2023-12-12T10:36:45Z

--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 22779409 num_examples: 27588 - name: train num_bytes: 186338721 num_examples: 220698 - name: validate num_bytes: 22863797 num_examples: 27587 download_size: 113918121 dataset_size: 231981927 --- # Dataset Card for "med_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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louisbrulenaudet/code-sante-publique

louisbrulenaudet

2023-12-12T10:40:00Z

0

[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de la santé publique", "region:us" ]

[ "text-generation", "table-question-answering", "summarization", "conversational" ]

2023-12-12T10:39:13Z

--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de la santé publique source_datasets: - original pretty_name: Code de la santé publique task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de la santé publique, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de la santé publique, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-sante-publique}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).

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RicardoSolares/Messi

RicardoSolares

2023-12-12T11:31:31Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T10:42:57Z

--- license: apache-2.0 ---

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snow02/project01

snow02

2023-12-12T10:53:12Z

0

[ "license:unknown", "region:us" ]

null

2023-12-12T10:53:12Z

--- license: unknown ---

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open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE

open-llm-leaderboard

2023-12-12T11:26:41Z

0

[ "region:us" ]

null

2023-12-12T11:25:50Z

--- pretty_name: Evaluation run of janhq/Mistral-7B-Instruct-v0.2-DARE dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [janhq/Mistral-7B-Instruct-v0.2-DARE](https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE)\ \ 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_janhq__Mistral-7B-Instruct-v0.2-DARE\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:22:55.278603](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE/blob/main/results_2023-12-12T11-22-55.278603.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\": 0.5002671303432286,\n\ \ \"acc_stderr\": 0.03440023987934237,\n \"acc_norm\": 0.506255828811682,\n\ \ \"acc_norm_stderr\": 0.035162947112250174,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418194,\n \"mc2\": 0.5435910325313378,\n\ \ \"mc2_stderr\": 0.015385871725485683\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5580204778156996,\n \"acc_stderr\": 0.014512682523128342,\n\ \ \"acc_norm\": 0.6194539249146758,\n \"acc_norm_stderr\": 0.014188277712349814\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5338577972515435,\n\ \ \"acc_stderr\": 0.0049783281907755245,\n \"acc_norm\": 0.7562238597888866,\n\ \ \"acc_norm_stderr\": 0.004284817238406704\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4962962962962963,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.4962962962962963,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5986842105263158,\n \"acc_stderr\": 0.03988903703336285,\n\ \ \"acc_norm\": 0.5986842105263158,\n \"acc_norm_stderr\": 0.03988903703336285\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.569811320754717,\n \"acc_stderr\": 0.030471445867183235,\n\ \ \"acc_norm\": 0.569811320754717,\n \"acc_norm_stderr\": 0.030471445867183235\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5763888888888888,\n\ \ \"acc_stderr\": 0.041321250197233685,\n \"acc_norm\": 0.5763888888888888,\n\ \ \"acc_norm_stderr\": 0.041321250197233685\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|5\": {\n \"acc\"\ : 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5433526011560693,\n\ \ \"acc_stderr\": 0.03798106566014498,\n \"acc_norm\": 0.5433526011560693,\n\ \ \"acc_norm_stderr\": 0.03798106566014498\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\ \ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.48936170212765956,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.38596491228070173,\n\ \ \"acc_stderr\": 0.04579639422070434,\n \"acc_norm\": 0.38596491228070173,\n\ \ \"acc_norm_stderr\": 0.04579639422070434\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3783068783068783,\n \"acc_stderr\": 0.02497695405315526,\n \"\ acc_norm\": 0.3783068783068783,\n \"acc_norm_stderr\": 0.02497695405315526\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2619047619047619,\n\ \ \"acc_stderr\": 0.03932537680392871,\n \"acc_norm\": 0.2619047619047619,\n\ \ \"acc_norm_stderr\": 0.03932537680392871\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.47419354838709676,\n \"acc_stderr\": 0.02840609505765332,\n \"\ acc_norm\": 0.47419354838709676,\n \"acc_norm_stderr\": 0.02840609505765332\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.35960591133004927,\n \"acc_stderr\": 0.03376458246509567,\n \"\ acc_norm\": 0.35960591133004927,\n \"acc_norm_stderr\": 0.03376458246509567\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.28484848484848485,\n \"acc_stderr\": 0.03524390844511784,\n\ \ \"acc_norm\": 0.28484848484848485,\n \"acc_norm_stderr\": 0.03524390844511784\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.6666666666666666,\n \"acc_stderr\": 0.033586181457325226,\n \"\ acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.033586181457325226\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7564766839378239,\n \"acc_stderr\": 0.030975436386845436,\n\ \ \"acc_norm\": 0.7564766839378239,\n \"acc_norm_stderr\": 0.030975436386845436\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5153846153846153,\n \"acc_stderr\": 0.02533900301010651,\n \ \ \"acc_norm\": 0.5153846153846153,\n \"acc_norm_stderr\": 0.02533900301010651\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945277,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945277\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.03242225027115006,\n \ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.03242225027115006\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.304635761589404,\n \"acc_stderr\": 0.03757949922943343,\n \"acc_norm\"\ : 0.304635761589404,\n \"acc_norm_stderr\": 0.03757949922943343\n },\n\ \ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.6935779816513762,\n\ \ \"acc_stderr\": 0.01976551722045852,\n \"acc_norm\": 0.6935779816513762,\n\ \ \"acc_norm_stderr\": 0.01976551722045852\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.35648148148148145,\n \"acc_stderr\": 0.03266478331527272,\n\ \ \"acc_norm\": 0.35648148148148145,\n \"acc_norm_stderr\": 0.03266478331527272\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.39215686274509803,\n \"acc_stderr\": 0.03426712349247271,\n \"\ acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.03426712349247271\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.48945147679324896,\n \"acc_stderr\": 0.032539983791662855,\n \ \ \"acc_norm\": 0.48945147679324896,\n \"acc_norm_stderr\": 0.032539983791662855\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5739910313901345,\n\ \ \"acc_stderr\": 0.03318833286217281,\n \"acc_norm\": 0.5739910313901345,\n\ \ \"acc_norm_stderr\": 0.03318833286217281\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6106870229007634,\n \"acc_stderr\": 0.04276486542814591,\n\ \ \"acc_norm\": 0.6106870229007634,\n \"acc_norm_stderr\": 0.04276486542814591\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.6694214876033058,\n \"acc_stderr\": 0.04294340845212094,\n \"\ acc_norm\": 0.6694214876033058,\n \"acc_norm_stderr\": 0.04294340845212094\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6203703703703703,\n\ \ \"acc_stderr\": 0.04691521224077742,\n \"acc_norm\": 0.6203703703703703,\n\ \ \"acc_norm_stderr\": 0.04691521224077742\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.5337423312883436,\n \"acc_stderr\": 0.03919415545048409,\n\ \ \"acc_norm\": 0.5337423312883436,\n \"acc_norm_stderr\": 0.03919415545048409\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.04582124160161551,\n\ \ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.04582124160161551\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.027236013946196687,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.027236013946196687\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.05021167315686779,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.05021167315686779\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6934865900383141,\n\ \ \"acc_stderr\": 0.016486952893041508,\n \"acc_norm\": 0.6934865900383141,\n\ \ \"acc_norm_stderr\": 0.016486952893041508\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5202312138728323,\n \"acc_stderr\": 0.026897049996382875,\n\ \ \"acc_norm\": 0.5202312138728323,\n \"acc_norm_stderr\": 0.026897049996382875\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33743016759776534,\n\ \ \"acc_stderr\": 0.015813901283913048,\n \"acc_norm\": 0.33743016759776534,\n\ \ \"acc_norm_stderr\": 0.015813901283913048\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5196078431372549,\n \"acc_stderr\": 0.028607893699576063,\n\ \ \"acc_norm\": 0.5196078431372549,\n \"acc_norm_stderr\": 0.028607893699576063\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5434083601286174,\n\ \ \"acc_stderr\": 0.028290869054197604,\n \"acc_norm\": 0.5434083601286174,\n\ \ \"acc_norm_stderr\": 0.028290869054197604\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.027701228468542595,\n\ \ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.027701228468542595\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.35815602836879434,\n \"acc_stderr\": 0.02860208586275942,\n \ \ \"acc_norm\": 0.35815602836879434,\n \"acc_norm_stderr\": 0.02860208586275942\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.31747066492829207,\n\ \ \"acc_stderr\": 0.01188889206880931,\n \"acc_norm\": 0.31747066492829207,\n\ \ \"acc_norm_stderr\": 0.01188889206880931\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.41911764705882354,\n \"acc_stderr\": 0.029972807170464626,\n\ \ \"acc_norm\": 0.41911764705882354,\n \"acc_norm_stderr\": 0.029972807170464626\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.49019607843137253,\n \"acc_stderr\": 0.020223946005074312,\n \ \ \"acc_norm\": 0.49019607843137253,\n \"acc_norm_stderr\": 0.020223946005074312\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.49387755102040815,\n \"acc_stderr\": 0.032006820201639086,\n\ \ \"acc_norm\": 0.49387755102040815,\n \"acc_norm_stderr\": 0.032006820201639086\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5124378109452736,\n\ \ \"acc_stderr\": 0.03534439848539579,\n \"acc_norm\": 0.5124378109452736,\n\ \ \"acc_norm_stderr\": 0.03534439848539579\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.43373493975903615,\n\ \ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\ \ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7251461988304093,\n \"acc_stderr\": 0.03424042924691584,\n\ \ \"acc_norm\": 0.7251461988304093,\n \"acc_norm_stderr\": 0.03424042924691584\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418194,\n \"mc2\": 0.5435910325313378,\n\ \ \"mc2_stderr\": 0.015385871725485683\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.749802683504341,\n \"acc_stderr\": 0.01217300964244914\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18119787717968158,\n \ \ \"acc_stderr\": 0.010609827611527357\n }\n}\n```" repo_url: https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|arc:challenge|25_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T11-22-55.278603.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|gsm8k|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hellaswag|10_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-22-55.278603.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-22-55.278603.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-22-55.278603.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_22_55.278603 path: - '**/details_harness|winogrande|5_2023-12-12T11-22-55.278603.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T11-22-55.278603.parquet' - config_name: results data_files: - split: 2023_12_12T11_22_55.278603 path: - results_2023-12-12T11-22-55.278603.parquet - split: latest path: - results_2023-12-12T11-22-55.278603.parquet --- # Dataset Card for Evaluation run of janhq/Mistral-7B-Instruct-v0.2-DARE  Dataset automatically created during the evaluation run of model [janhq/Mistral-7B-Instruct-v0.2-DARE](https://huggingface.co/janhq/Mistral-7B-Instruct-v0.2-DARE) 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_janhq__Mistral-7B-Instruct-v0.2-DARE", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:22:55.278603](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__Mistral-7B-Instruct-v0.2-DARE/blob/main/results_2023-12-12T11-22-55.278603.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": 0.5002671303432286, "acc_stderr": 0.03440023987934237, "acc_norm": 0.506255828811682, "acc_norm_stderr": 0.035162947112250174, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418194, "mc2": 0.5435910325313378, "mc2_stderr": 0.015385871725485683 }, "harness|arc:challenge|25": { "acc": 0.5580204778156996, "acc_stderr": 0.014512682523128342, "acc_norm": 0.6194539249146758, "acc_norm_stderr": 0.014188277712349814 }, "harness|hellaswag|10": { "acc": 0.5338577972515435, "acc_stderr": 0.0049783281907755245, "acc_norm": 0.7562238597888866, "acc_norm_stderr": 0.004284817238406704 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4962962962962963, "acc_stderr": 0.04319223625811331, "acc_norm": 0.4962962962962963, "acc_norm_stderr": 0.04319223625811331 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5986842105263158, "acc_stderr": 0.03988903703336285, "acc_norm": 0.5986842105263158, "acc_norm_stderr": 0.03988903703336285 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.569811320754717, "acc_stderr": 0.030471445867183235, "acc_norm": 0.569811320754717, "acc_norm_stderr": 0.030471445867183235 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5763888888888888, "acc_stderr": 0.041321250197233685, "acc_norm": 0.5763888888888888, "acc_norm_stderr": 0.041321250197233685 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5433526011560693, "acc_stderr": 0.03798106566014498, "acc_norm": 0.5433526011560693, "acc_norm_stderr": 0.03798106566014498 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082635, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082635 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.38596491228070173, "acc_stderr": 0.04579639422070434, "acc_norm": 0.38596491228070173, "acc_norm_stderr": 0.04579639422070434 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3783068783068783, "acc_stderr": 0.02497695405315526, "acc_norm": 0.3783068783068783, "acc_norm_stderr": 0.02497695405315526 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2619047619047619, "acc_stderr": 0.03932537680392871, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.03932537680392871 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.47419354838709676, "acc_stderr": 0.02840609505765332, "acc_norm": 0.47419354838709676, "acc_norm_stderr": 0.02840609505765332 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.35960591133004927, "acc_stderr": 0.03376458246509567, "acc_norm": 0.35960591133004927, "acc_norm_stderr": 0.03376458246509567 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.28484848484848485, "acc_stderr": 0.03524390844511784, "acc_norm": 0.28484848484848485, "acc_norm_stderr": 0.03524390844511784 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6666666666666666, "acc_stderr": 0.033586181457325226, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.033586181457325226 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7564766839378239, "acc_stderr": 0.030975436386845436, "acc_norm": 0.7564766839378239, "acc_norm_stderr": 0.030975436386845436 }, "harness|hendrycksTest-high_school_macroeconomics|5": { 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Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  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open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA

open-llm-leaderboard

2023-12-12T11:40:07Z

0

[ "region:us" ]

null

2023-12-12T11:39:26Z

--- pretty_name: Evaluation run of one-man-army/una-neural-chat-v3-3-P1-OMA dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [one-man-army/una-neural-chat-v3-3-P1-OMA](https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA)\ \ 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_one-man-army__una-neural-chat-v3-3-P1-OMA\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:36:35.468608](https://huggingface.co/datasets/open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA/blob/main/results_2023-12-12T11-36-35.468608.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\": 0.636840960894971,\n\ \ \"acc_stderr\": 0.0325649293445393,\n \"acc_norm\": 0.6380848976326104,\n\ \ \"acc_norm_stderr\": 0.0332251069866789,\n \"mc1\": 0.4847001223990208,\n\ \ \"mc1_stderr\": 0.017495304473187902,\n \"mc2\": 0.6434691270555646,\n\ \ \"mc2_stderr\": 0.015146860071018828\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175456,\n\ \ \"acc_norm\": 0.6680887372013652,\n \"acc_norm_stderr\": 0.013760988200880543\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6734714200358495,\n\ \ \"acc_stderr\": 0.004679847503411345,\n \"acc_norm\": 0.8591913961362279,\n\ \ \"acc_norm_stderr\": 0.0034711315448920418\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.0387813988879761,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.0387813988879761\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n\ \ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6416184971098265,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.6416184971098265,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.049512182523962625,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.049512182523962625\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5574468085106383,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.43859649122807015,\n\ \ \"acc_stderr\": 0.04668000738510455,\n \"acc_norm\": 0.43859649122807015,\n\ \ \"acc_norm_stderr\": 0.04668000738510455\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113728,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113728\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7451612903225806,\n \"acc_stderr\": 0.024790118459332208,\n \"\ acc_norm\": 0.7451612903225806,\n \"acc_norm_stderr\": 0.024790118459332208\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\"\ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.033175059300091826,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.033175059300091826\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.028606204289229872,\n \"\ acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229872\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593552,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593552\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6333333333333333,\n \"acc_stderr\": 0.02443301646605246,\n \ \ \"acc_norm\": 0.6333333333333333,\n \"acc_norm_stderr\": 0.02443301646605246\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083015,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083015\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8366972477064221,\n \"acc_stderr\": 0.015848255806501538,\n \"\ acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.015848255806501538\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7843137254901961,\n \"acc_stderr\": 0.028867431449849313,\n \"\ acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.028867431449849313\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\ \ \"acc_stderr\": 0.031381476375754995,\n \"acc_norm\": 0.6771300448430493,\n\ \ \"acc_norm_stderr\": 0.031381476375754995\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596914,\n\ \ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596914\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.042365112580946315,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.042365112580946315\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077816,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077816\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8301404853128991,\n\ \ \"acc_stderr\": 0.013428186370608311,\n \"acc_norm\": 0.8301404853128991,\n\ \ \"acc_norm_stderr\": 0.013428186370608311\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7052023121387283,\n \"acc_stderr\": 0.024547617794803828,\n\ \ \"acc_norm\": 0.7052023121387283,\n \"acc_norm_stderr\": 0.024547617794803828\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.39664804469273746,\n\ \ \"acc_stderr\": 0.016361354769822468,\n \"acc_norm\": 0.39664804469273746,\n\ \ \"acc_norm_stderr\": 0.016361354769822468\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.02617390850671858,\n\ \ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.02617390850671858\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6752411575562701,\n\ \ \"acc_stderr\": 0.026596782287697043,\n \"acc_norm\": 0.6752411575562701,\n\ \ \"acc_norm_stderr\": 0.026596782287697043\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291456,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291456\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.43415906127770537,\n\ \ \"acc_stderr\": 0.012659033237067248,\n \"acc_norm\": 0.43415906127770537,\n\ \ \"acc_norm_stderr\": 0.012659033237067248\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.028332959514031215,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.028332959514031215\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6601307189542484,\n \"acc_stderr\": 0.019162418588623567,\n \ \ \"acc_norm\": 0.6601307189542484,\n \"acc_norm_stderr\": 0.019162418588623567\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4847001223990208,\n\ \ \"mc1_stderr\": 0.017495304473187902,\n \"mc2\": 0.6434691270555646,\n\ \ \"mc2_stderr\": 0.015146860071018828\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7963693764798737,\n \"acc_stderr\": 0.011317798781626913\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6186504927975739,\n \ \ \"acc_stderr\": 0.013379089877400715\n }\n}\n```" repo_url: https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|arc:challenge|25_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T11-36-35.468608.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|gsm8k|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hellaswag|10_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-36-35.468608.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-36-35.468608.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-36-35.468608.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_36_35.468608 path: - '**/details_harness|winogrande|5_2023-12-12T11-36-35.468608.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T11-36-35.468608.parquet' - config_name: results data_files: - split: 2023_12_12T11_36_35.468608 path: - results_2023-12-12T11-36-35.468608.parquet - split: latest path: - results_2023-12-12T11-36-35.468608.parquet --- # Dataset Card for Evaluation run of one-man-army/una-neural-chat-v3-3-P1-OMA  Dataset automatically created during the evaluation run of model [one-man-army/una-neural-chat-v3-3-P1-OMA](https://huggingface.co/one-man-army/una-neural-chat-v3-3-P1-OMA) 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_one-man-army__una-neural-chat-v3-3-P1-OMA", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:36:35.468608](https://huggingface.co/datasets/open-llm-leaderboard/details_one-man-army__una-neural-chat-v3-3-P1-OMA/blob/main/results_2023-12-12T11-36-35.468608.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": 0.636840960894971, "acc_stderr": 0.0325649293445393, "acc_norm": 0.6380848976326104, "acc_norm_stderr": 0.0332251069866789, "mc1": 0.4847001223990208, "mc1_stderr": 0.017495304473187902, "mc2": 0.6434691270555646, "mc2_stderr": 0.015146860071018828 }, "harness|arc:challenge|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175456, "acc_norm": 0.6680887372013652, "acc_norm_stderr": 0.013760988200880543 }, "harness|hellaswag|10": { "acc": 0.6734714200358495, "acc_stderr": 0.004679847503411345, "acc_norm": 0.8591913961362279, "acc_norm_stderr": 0.0034711315448920418 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6513157894736842, "acc_stderr": 0.0387813988879761, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.0387813988879761 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6792452830188679, "acc_stderr": 0.028727502957880267, "acc_norm": 0.6792452830188679, "acc_norm_stderr": 0.028727502957880267 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6416184971098265, "acc_stderr": 0.036563436533531585, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.036563436533531585 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.049512182523962625, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.049512182523962625 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5574468085106383, "acc_stderr": 0.03246956919789958, "acc_norm": 0.5574468085106383, "acc_norm_stderr": 0.03246956919789958 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.43859649122807015, "acc_stderr": 0.04668000738510455, "acc_norm": 0.43859649122807015, "acc_norm_stderr": 0.04668000738510455 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.02510742548113728, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.02510742548113728 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7451612903225806, "acc_stderr": 0.024790118459332208, "acc_norm": 0.7451612903225806, "acc_norm_stderr": 0.024790118459332208 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.033175059300091826, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.033175059300091826 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.797979797979798, "acc_stderr": 0.028606204289229872, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.028606204289229872 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593552, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593552 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6333333333333333, "acc_stderr": 0.02443301646605246, "acc_norm": 0.6333333333333333, "acc_norm_stderr": 0.02443301646605246 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.35185185185185186, "acc_stderr": 0.029116617606083015, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.029116617606083015 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6596638655462185, "acc_stderr": 0.030778057422931673, "acc_norm": 0.6596638655462185, "acc_norm_stderr": 0.030778057422931673 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8366972477064221, "acc_stderr": 0.015848255806501538, "acc_norm": 0.8366972477064221, "acc_norm_stderr": 0.015848255806501538 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5324074074074074, "acc_stderr": 0.03402801581358966, "acc_norm": 0.5324074074074074, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7843137254901961, "acc_stderr": 0.028867431449849313, "acc_norm": 0.7843137254901961, "acc_norm_stderr": 0.028867431449849313 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7805907172995781, "acc_stderr": 0.026939106581553945, "acc_norm": 0.7805907172995781, "acc_norm_stderr": 0.026939106581553945 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6771300448430493, "acc_stderr": 0.031381476375754995, "acc_norm": 0.6771300448430493, "acc_norm_stderr": 0.031381476375754995 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7633587786259542, "acc_stderr": 0.03727673575596914, "acc_norm": 0.7633587786259542, "acc_norm_stderr": 0.03727673575596914 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.042365112580946315, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.042365112580946315 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077816, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077816 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8301404853128991, "acc_stderr": 0.013428186370608311, "acc_norm": 0.8301404853128991, "acc_norm_stderr": 0.013428186370608311 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7052023121387283, "acc_stderr": 0.024547617794803828, "acc_norm": 0.7052023121387283, "acc_norm_stderr": 0.024547617794803828 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.39664804469273746, "acc_stderr": 0.016361354769822468, "acc_norm": 0.39664804469273746, "acc_norm_stderr": 0.016361354769822468 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7026143790849673, "acc_stderr": 0.02617390850671858, "acc_norm": 0.7026143790849673, "acc_norm_stderr": 0.02617390850671858 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6752411575562701, "acc_stderr": 0.026596782287697043, "acc_norm": 0.6752411575562701, "acc_norm_stderr": 0.026596782287697043 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7160493827160493, "acc_stderr": 0.025089478523765137, "acc_norm": 0.7160493827160493, "acc_norm_stderr": 0.025089478523765137 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291456, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291456 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.43415906127770537, "acc_stderr": 0.012659033237067248, "acc_norm": 0.43415906127770537, "acc_norm_stderr": 0.012659033237067248 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6801470588235294, "acc_stderr": 0.028332959514031215, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.028332959514031215 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6601307189542484, "acc_stderr": 0.019162418588623567, "acc_norm": 0.6601307189542484, "acc_norm_stderr": 0.019162418588623567 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.710204081632653, "acc_stderr": 0.029043088683304328, "acc_norm": 0.710204081632653, "acc_norm_stderr": 0.029043088683304328 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8258706467661692, "acc_stderr": 0.026814951200421603, "acc_norm": 0.8258706467661692, "acc_norm_stderr": 0.026814951200421603 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-virology|5": { "acc": 0.536144578313253, "acc_stderr": 0.038823108508905954, "acc_norm": 0.536144578313253, "acc_norm_stderr": 0.038823108508905954 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8187134502923976, "acc_stderr": 0.029547741687640044, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640044 }, "harness|truthfulqa:mc|0": { "mc1": 0.4847001223990208, "mc1_stderr": 0.017495304473187902, "mc2": 0.6434691270555646, "mc2_stderr": 0.015146860071018828 }, "harness|winogrande|5": { "acc": 0.7963693764798737, "acc_stderr": 0.011317798781626913 }, "harness|gsm8k|5": { "acc": 0.6186504927975739, "acc_stderr": 0.013379089877400715 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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carlosfuy/poderdodirect

carlosfuy

2023-12-12T16:48:14Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T11:58:11Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b

open-llm-leaderboard

2023-12-12T12:03:14Z

0

[ "region:us" ]

null

2023-12-12T12:02:35Z

--- pretty_name: Evaluation run of Dans-DiscountModels/Dans-07YahooAnswers-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Dans-DiscountModels/Dans-07YahooAnswers-7b](https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b)\ \ 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_Dans-DiscountModels__Dans-07YahooAnswers-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T11:59:44.186330](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b/blob/main/results_2023-12-12T11-59-44.186330.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\": 0.6323522461193881,\n\ \ \"acc_stderr\": 0.03241238510531189,\n \"acc_norm\": 0.6383173601212951,\n\ \ \"acc_norm_stderr\": 0.03306669157812459,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006523,\n \"mc2\": 0.4183936786632435,\n\ \ \"mc2_stderr\": 0.014090095370779055\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5716723549488054,\n \"acc_stderr\": 0.014460496367599024,\n\ \ \"acc_norm\": 0.6151877133105802,\n \"acc_norm_stderr\": 0.014218371065251104\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.634833698466441,\n\ \ \"acc_stderr\": 0.004804927608773128,\n \"acc_norm\": 0.836885082652858,\n\ \ \"acc_norm_stderr\": 0.0036871539405687976\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7152777777777778,\n\ \ \"acc_stderr\": 0.037738099906869334,\n \"acc_norm\": 0.7152777777777778,\n\ \ \"acc_norm_stderr\": 0.037738099906869334\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\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\": 0.6184971098265896,\n \"acc_stderr\": 0.03703851193099521,\n\ \ \"acc_norm\": 0.6184971098265896,\n \"acc_norm_stderr\": 0.03703851193099521\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.38235294117647056,\n\ \ \"acc_stderr\": 0.04835503696107223,\n \"acc_norm\": 0.38235294117647056,\n\ \ \"acc_norm_stderr\": 0.04835503696107223\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5659574468085107,\n\ \ \"acc_stderr\": 0.03240038086792747,\n \"acc_norm\": 0.5659574468085107,\n\ \ \"acc_norm_stderr\": 0.03240038086792747\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.04702880432049615,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.04702880432049615\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949098,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949098\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7387096774193549,\n \"acc_stderr\": 0.024993053397764826,\n \"\ acc_norm\": 0.7387096774193549,\n \"acc_norm_stderr\": 0.024993053397764826\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5270935960591133,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.5270935960591133,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386417,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386417\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8704663212435233,\n \"acc_stderr\": 0.02423353229775873,\n\ \ \"acc_norm\": 0.8704663212435233,\n \"acc_norm_stderr\": 0.02423353229775873\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062153,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062153\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n \ \ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8091743119266055,\n \"acc_stderr\": 0.0168476764000911,\n \"acc_norm\"\ : 0.8091743119266055,\n \"acc_norm_stderr\": 0.0168476764000911\n },\n\ \ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.5046296296296297,\n\ \ \"acc_stderr\": 0.03409825519163572,\n \"acc_norm\": 0.5046296296296297,\n\ \ \"acc_norm_stderr\": 0.03409825519163572\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.028867431449849316,\n\ \ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.028867431449849316\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7468354430379747,\n \"acc_stderr\": 0.0283046579430353,\n \ \ \"acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.0283046579430353\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7975460122699386,\n \"acc_stderr\": 0.03157065078911901,\n\ \ \"acc_norm\": 0.7975460122699386,\n \"acc_norm_stderr\": 0.03157065078911901\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.04461960433384739\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8160919540229885,\n\ \ \"acc_stderr\": 0.01385372417092252,\n \"acc_norm\": 0.8160919540229885,\n\ \ \"acc_norm_stderr\": 0.01385372417092252\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7052023121387283,\n \"acc_stderr\": 0.024547617794803828,\n\ \ \"acc_norm\": 0.7052023121387283,\n \"acc_norm_stderr\": 0.024547617794803828\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.31620111731843575,\n\ \ \"acc_stderr\": 0.015551673652172552,\n \"acc_norm\": 0.31620111731843575,\n\ \ \"acc_norm_stderr\": 0.015551673652172552\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.02616058445014045,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.02616058445014045\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7314814814814815,\n \"acc_stderr\": 0.024659685185967284,\n\ \ \"acc_norm\": 0.7314814814814815,\n \"acc_norm_stderr\": 0.024659685185967284\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.012725701656953642,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.012725701656953642\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6544117647058824,\n \"acc_stderr\": 0.028888193103988637,\n\ \ \"acc_norm\": 0.6544117647058824,\n \"acc_norm_stderr\": 0.028888193103988637\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6748366013071896,\n \"acc_stderr\": 0.01895088677080631,\n \ \ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.01895088677080631\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8109452736318408,\n\ \ \"acc_stderr\": 0.02768691358801301,\n \"acc_norm\": 0.8109452736318408,\n\ \ \"acc_norm_stderr\": 0.02768691358801301\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.02917088550072766,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.02917088550072766\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006523,\n \"mc2\": 0.4183936786632435,\n\ \ \"mc2_stderr\": 0.014090095370779055\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.011539912734345391\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3730098559514784,\n \ \ \"acc_stderr\": 0.013320876609777214\n }\n}\n```" repo_url: https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|arc:challenge|25_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T11-59-44.186330.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|gsm8k|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hellaswag|10_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-59-44.186330.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T11-59-44.186330.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T11-59-44.186330.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T11_59_44.186330 path: - '**/details_harness|winogrande|5_2023-12-12T11-59-44.186330.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T11-59-44.186330.parquet' - config_name: results data_files: - split: 2023_12_12T11_59_44.186330 path: - results_2023-12-12T11-59-44.186330.parquet - split: latest path: - results_2023-12-12T11-59-44.186330.parquet --- # Dataset Card for Evaluation run of Dans-DiscountModels/Dans-07YahooAnswers-7b  Dataset automatically created during the evaluation run of model [Dans-DiscountModels/Dans-07YahooAnswers-7b](https://huggingface.co/Dans-DiscountModels/Dans-07YahooAnswers-7b) 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_Dans-DiscountModels__Dans-07YahooAnswers-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T11:59:44.186330](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__Dans-07YahooAnswers-7b/blob/main/results_2023-12-12T11-59-44.186330.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": 0.6323522461193881, "acc_stderr": 0.03241238510531189, "acc_norm": 0.6383173601212951, "acc_norm_stderr": 0.03306669157812459, "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006523, "mc2": 0.4183936786632435, "mc2_stderr": 0.014090095370779055 }, "harness|arc:challenge|25": { "acc": 0.5716723549488054, "acc_stderr": 0.014460496367599024, "acc_norm": 0.6151877133105802, "acc_norm_stderr": 0.014218371065251104 }, "harness|hellaswag|10": { "acc": 0.634833698466441, "acc_stderr": 0.004804927608773128, "acc_norm": 0.836885082652858, "acc_norm_stderr": 0.0036871539405687976 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.690566037735849, "acc_stderr": 0.028450154794118637, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.028450154794118637 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7152777777777778, "acc_stderr": 0.037738099906869334, "acc_norm": 0.7152777777777778, "acc_norm_stderr": 0.037738099906869334 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "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": 0.6184971098265896, "acc_stderr": 0.03703851193099521, "acc_norm": 0.6184971098265896, "acc_norm_stderr": 0.03703851193099521 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5659574468085107, "acc_stderr": 0.03240038086792747, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.03240038086792747 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4074074074074074, "acc_stderr": 0.02530590624159063, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.02530590624159063 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7387096774193549, "acc_stderr": 0.024993053397764826, "acc_norm": 0.7387096774193549, "acc_norm_stderr": 0.024993053397764826 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5270935960591133, "acc_stderr": 0.03512819077876106, "acc_norm": 0.5270935960591133, "acc_norm_stderr": 0.03512819077876106 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7575757575757576, "acc_stderr": 0.03346409881055953, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.03346409881055953 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386417, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386417 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8704663212435233, "acc_stderr": 0.02423353229775873, "acc_norm": 0.8704663212435233, "acc_norm_stderr": 0.02423353229775873 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 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Processing  [More Information Needed] #### Who are the source data producers?  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RicardoSolares/Messi2

RicardoSolares

2023-12-12T12:31:59Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T12:31:38Z

--- license: apache-2.0 ---

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DezS/Accent-and-accentless-Vietnamese-dataset

DezS

2023-12-12T12:48:33Z

0

[ "license:pddl", "region:us" ]

null

2023-12-12T12:37:49Z

--- license: pddl This dataset consists of 2 columns: Sentences and AccentlessSentences This is the dataset used for the training of this model: https://huggingface.co/DezS/T5-Vietnamese-Accent-Adder ---

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RicardoSolares/messi3

RicardoSolares

2023-12-12T14:25:50Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T12:39:38Z

--- license: apache-2.0 ---

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open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat

open-llm-leaderboard

2023-12-12T12:45:41Z

0

[ "region:us" ]

null

2023-12-12T12:44:58Z

--- pretty_name: Evaluation run of viethq188/Rabbit-7B-DPO-Chat dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [viethq188/Rabbit-7B-DPO-Chat](https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat)\ \ 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_viethq188__Rabbit-7B-DPO-Chat\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T12:42:05.129692](https://huggingface.co/datasets/open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat/blob/main/results_2023-12-12T12-42-05.129692.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\": 0.6100718716052655,\n\ \ \"acc_stderr\": 0.03311439179911609,\n \"acc_norm\": 0.6112562424256339,\n\ \ \"acc_norm_stderr\": 0.03378279812081705,\n \"mc1\": 0.48959608323133413,\n\ \ \"mc1_stderr\": 0.017499711430249264,\n \"mc2\": 0.6217820822805159,\n\ \ \"mc2_stderr\": 0.015655139839426707\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6578498293515358,\n \"acc_stderr\": 0.013864152159177275,\n\ \ \"acc_norm\": 0.7030716723549488,\n \"acc_norm_stderr\": 0.013352025976725227\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6928898625771759,\n\ \ \"acc_stderr\": 0.004603527017557839,\n \"acc_norm\": 0.8743278231428002,\n\ \ \"acc_norm_stderr\": 0.0033080208244267903\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5407407407407407,\n\ \ \"acc_stderr\": 0.04304979692464241,\n \"acc_norm\": 0.5407407407407407,\n\ \ \"acc_norm_stderr\": 0.04304979692464241\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.03910525752849724,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.03910525752849724\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.49,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.660377358490566,\n \"acc_stderr\": 0.02914690474779833,\n\ \ \"acc_norm\": 0.660377358490566,\n \"acc_norm_stderr\": 0.02914690474779833\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6736111111111112,\n\ \ \"acc_stderr\": 0.03921067198982266,\n \"acc_norm\": 0.6736111111111112,\n\ \ \"acc_norm_stderr\": 0.03921067198982266\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.049999999999999996,\n \ \ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.049999999999999996\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6242774566473989,\n\ \ \"acc_stderr\": 0.03692820767264866,\n \"acc_norm\": 0.6242774566473989,\n\ \ \"acc_norm_stderr\": 0.03692820767264866\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42063492063492064,\n \"acc_stderr\": 0.025424835086923996,\n \"\ acc_norm\": 0.42063492063492064,\n \"acc_norm_stderr\": 0.025424835086923996\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4603174603174603,\n\ \ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\ \ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.7290322580645161,\n\ \ \"acc_stderr\": 0.025284416114900152,\n \"acc_norm\": 0.7290322580645161,\n\ \ \"acc_norm_stderr\": 0.025284416114900152\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n\ \ \"acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.0356796977226805,\n\ \ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.0356796977226805\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386417,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386417\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8549222797927462,\n \"acc_stderr\": 0.025416343096306405,\n\ \ \"acc_norm\": 0.8549222797927462,\n \"acc_norm_stderr\": 0.025416343096306405\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6230769230769231,\n \"acc_stderr\": 0.024570975364225995,\n\ \ \"acc_norm\": 0.6230769230769231,\n \"acc_norm_stderr\": 0.024570975364225995\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6974789915966386,\n \"acc_stderr\": 0.02983796238829194,\n \ \ \"acc_norm\": 0.6974789915966386,\n \"acc_norm_stderr\": 0.02983796238829194\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8055045871559633,\n \"acc_stderr\": 0.016970289090458033,\n \"\ acc_norm\": 0.8055045871559633,\n \"acc_norm_stderr\": 0.016970289090458033\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5046296296296297,\n \"acc_stderr\": 0.03409825519163572,\n \"\ acc_norm\": 0.5046296296296297,\n \"acc_norm_stderr\": 0.03409825519163572\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.7932489451476793,\n \"acc_stderr\": 0.026361651668389094,\n\ \ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.026361651668389094\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6636771300448431,\n\ \ \"acc_stderr\": 0.031708824268455,\n \"acc_norm\": 0.6636771300448431,\n\ \ \"acc_norm_stderr\": 0.031708824268455\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467766,\n\ \ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467766\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912046\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6851851851851852,\n\ \ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\ \ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8162393162393162,\n\ \ \"acc_stderr\": 0.025372139671722933,\n \"acc_norm\": 0.8162393162393162,\n\ \ \"acc_norm_stderr\": 0.025372139671722933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7879948914431673,\n\ \ \"acc_stderr\": 0.014616099385833676,\n \"acc_norm\": 0.7879948914431673,\n\ \ \"acc_norm_stderr\": 0.014616099385833676\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.025624723994030457,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.025624723994030457\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.22569832402234638,\n\ \ \"acc_stderr\": 0.013981395058455054,\n \"acc_norm\": 0.22569832402234638,\n\ \ \"acc_norm_stderr\": 0.013981395058455054\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6633986928104575,\n \"acc_stderr\": 0.02705797462449438,\n\ \ \"acc_norm\": 0.6633986928104575,\n \"acc_norm_stderr\": 0.02705797462449438\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6688102893890675,\n\ \ \"acc_stderr\": 0.026730620728004906,\n \"acc_norm\": 0.6688102893890675,\n\ \ \"acc_norm_stderr\": 0.026730620728004906\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.025630824975621348,\n\ \ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.025630824975621348\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.39361702127659576,\n \"acc_stderr\": 0.029144544781596133,\n \ \ \"acc_norm\": 0.39361702127659576,\n \"acc_norm_stderr\": 0.029144544781596133\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.44654498044328556,\n\ \ \"acc_stderr\": 0.012697046024399675,\n \"acc_norm\": 0.44654498044328556,\n\ \ \"acc_norm_stderr\": 0.012697046024399675\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6323529411764706,\n \"acc_stderr\": 0.02928941340940319,\n\ \ \"acc_norm\": 0.6323529411764706,\n \"acc_norm_stderr\": 0.02928941340940319\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6094771241830066,\n \"acc_stderr\": 0.019737008998094604,\n \ \ \"acc_norm\": 0.6094771241830066,\n \"acc_norm_stderr\": 0.019737008998094604\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7061224489795919,\n \"acc_stderr\": 0.029162738410249765,\n\ \ \"acc_norm\": 0.7061224489795919,\n \"acc_norm_stderr\": 0.029162738410249765\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8159203980099502,\n\ \ \"acc_stderr\": 0.027403859410786845,\n \"acc_norm\": 0.8159203980099502,\n\ \ \"acc_norm_stderr\": 0.027403859410786845\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197771,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197771\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.45180722891566266,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.45180722891566266,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.48959608323133413,\n\ \ \"mc1_stderr\": 0.017499711430249264,\n \"mc2\": 0.6217820822805159,\n\ \ \"mc2_stderr\": 0.015655139839426707\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7916337805840569,\n \"acc_stderr\": 0.011414554399987738\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5852918877937832,\n \ \ \"acc_stderr\": 0.013570623842304511\n }\n}\n```" repo_url: https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|arc:challenge|25_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T12-42-05.129692.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|gsm8k|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hellaswag|10_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-42-05.129692.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-42-05.129692.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T12-42-05.129692.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T12_42_05.129692 path: - '**/details_harness|winogrande|5_2023-12-12T12-42-05.129692.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T12-42-05.129692.parquet' - config_name: results data_files: - split: 2023_12_12T12_42_05.129692 path: - results_2023-12-12T12-42-05.129692.parquet - split: latest path: - results_2023-12-12T12-42-05.129692.parquet --- # Dataset Card for Evaluation run of viethq188/Rabbit-7B-DPO-Chat  Dataset automatically created during the evaluation run of model [viethq188/Rabbit-7B-DPO-Chat](https://huggingface.co/viethq188/Rabbit-7B-DPO-Chat) 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_viethq188__Rabbit-7B-DPO-Chat", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T12:42:05.129692](https://huggingface.co/datasets/open-llm-leaderboard/details_viethq188__Rabbit-7B-DPO-Chat/blob/main/results_2023-12-12T12-42-05.129692.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": 0.6100718716052655, "acc_stderr": 0.03311439179911609, "acc_norm": 0.6112562424256339, "acc_norm_stderr": 0.03378279812081705, "mc1": 0.48959608323133413, "mc1_stderr": 0.017499711430249264, "mc2": 0.6217820822805159, "mc2_stderr": 0.015655139839426707 }, "harness|arc:challenge|25": { "acc": 0.6578498293515358, "acc_stderr": 0.013864152159177275, "acc_norm": 0.7030716723549488, "acc_norm_stderr": 0.013352025976725227 }, "harness|hellaswag|10": { "acc": 0.6928898625771759, "acc_stderr": 0.004603527017557839, "acc_norm": 0.8743278231428002, "acc_norm_stderr": 0.0033080208244267903 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5407407407407407, "acc_stderr": 0.04304979692464241, "acc_norm": 0.5407407407407407, "acc_norm_stderr": 0.04304979692464241 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6381578947368421, "acc_stderr": 0.03910525752849724, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.03910525752849724 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.660377358490566, "acc_stderr": 0.02914690474779833, "acc_norm": 0.660377358490566, "acc_norm_stderr": 0.02914690474779833 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6736111111111112, "acc_stderr": 0.03921067198982266, "acc_norm": 0.6736111111111112, "acc_norm_stderr": 0.03921067198982266 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6242774566473989, "acc_stderr": 0.03692820767264866, "acc_norm": 0.6242774566473989, "acc_norm_stderr": 0.03692820767264866 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082636, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082636 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42063492063492064, "acc_stderr": 0.025424835086923996, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.025424835086923996 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4603174603174603, "acc_stderr": 0.04458029125470973, "acc_norm": 0.4603174603174603, "acc_norm_stderr": 0.04458029125470973 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7290322580645161, "acc_stderr": 0.025284416114900152, "acc_norm": 0.7290322580645161, "acc_norm_stderr": 0.025284416114900152 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175008, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175008 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.703030303030303, "acc_stderr": 0.0356796977226805, "acc_norm": 0.703030303030303, "acc_norm_stderr": 0.0356796977226805 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386417, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386417 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8549222797927462, "acc_stderr": 0.025416343096306405, "acc_norm": 0.8549222797927462, "acc_norm_stderr": 0.025416343096306405 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6230769230769231, "acc_stderr": 0.024570975364225995, "acc_norm": 0.6230769230769231, "acc_norm_stderr": 0.024570975364225995 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6974789915966386, "acc_stderr": 0.02983796238829194, "acc_norm": 0.6974789915966386, "acc_norm_stderr": 0.02983796238829194 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8055045871559633, "acc_stderr": 0.016970289090458033, "acc_norm": 0.8055045871559633, "acc_norm_stderr": 0.016970289090458033 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5046296296296297, "acc_stderr": 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"mc1": 0.48959608323133413, "mc1_stderr": 0.017499711430249264, "mc2": 0.6217820822805159, "mc2_stderr": 0.015655139839426707 }, "harness|winogrande|5": { "acc": 0.7916337805840569, "acc_stderr": 0.011414554399987738 }, "harness|gsm8k|5": { "acc": 0.5852918877937832, "acc_stderr": 0.013570623842304511 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B

open-llm-leaderboard

2023-12-12T12:50:06Z

0

[ "region:us" ]

null

2023-12-12T12:49:26Z

--- pretty_name: Evaluation run of v1olet/v1olet_merged_dpo_7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [v1olet/v1olet_merged_dpo_7B](https://huggingface.co/v1olet/v1olet_merged_dpo_7B)\ \ 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_v1olet__v1olet_merged_dpo_7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-12T12:46:34.899299](https://huggingface.co/datasets/open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B/blob/main/results_2023-12-12T12-46-34.899299.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\": 0.6440679427811095,\n\ \ \"acc_stderr\": 0.03250447611787324,\n \"acc_norm\": 0.646485224747175,\n\ \ \"acc_norm_stderr\": 0.03316159386352293,\n \"mc1\": 0.5030599755201959,\n\ \ \"mc1_stderr\": 0.017503173260960625,\n \"mc2\": 0.6336908170998187,\n\ \ \"mc2_stderr\": 0.01575011120254939\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6766211604095563,\n \"acc_stderr\": 0.013669421630012136,\n\ \ \"acc_norm\": 0.7133105802047781,\n \"acc_norm_stderr\": 0.013214986329274783\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7018522206731727,\n\ \ \"acc_stderr\": 0.004565098421085227,\n \"acc_norm\": 0.8734315873332006,\n\ \ \"acc_norm_stderr\": 0.003318093579702922\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800886,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800886\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\ \ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5659574468085107,\n \"acc_stderr\": 0.032400380867927465,\n\ \ \"acc_norm\": 0.5659574468085107,\n \"acc_norm_stderr\": 0.032400380867927465\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.02544636563440678,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.02544636563440678\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4126984126984127,\n\ \ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.4126984126984127,\n\ \ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7548387096774194,\n \"acc_stderr\": 0.024472243840895518,\n \"\ acc_norm\": 0.7548387096774194,\n \"acc_norm_stderr\": 0.024472243840895518\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.47783251231527096,\n \"acc_stderr\": 0.035145285621750094,\n \"\ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.035145285621750094\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\ : 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.02962022787479047,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.02962022787479047\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.023381935348121427,\n\ \ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.023381935348121427\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402534,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402534\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131147,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131147\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8220183486238533,\n \"acc_stderr\": 0.0163994363666129,\n \"acc_norm\"\ : 0.8220183486238533,\n \"acc_norm_stderr\": 0.0163994363666129\n },\n\ \ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.5092592592592593,\n\ \ \"acc_stderr\": 0.034093869469927006,\n \"acc_norm\": 0.5092592592592593,\n\ \ \"acc_norm_stderr\": 0.034093869469927006\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.7990196078431373,\n \"acc_stderr\": 0.028125972265654373,\n\ \ \"acc_norm\": 0.7990196078431373,\n \"acc_norm_stderr\": 0.028125972265654373\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7085201793721974,\n\ \ \"acc_stderr\": 0.03050028317654584,\n \"acc_norm\": 0.7085201793721974,\n\ \ \"acc_norm_stderr\": 0.03050028317654584\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.03768335959728744,\n\ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.03768335959728744\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990945,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990945\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243839,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243839\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7116564417177914,\n \"acc_stderr\": 0.035590395316173425,\n\ \ \"acc_norm\": 0.7116564417177914,\n \"acc_norm_stderr\": 0.035590395316173425\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.047184714852195886,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.047184714852195886\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179333,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.014036945850381387,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.014036945850381387\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.708092485549133,\n \"acc_stderr\": 0.02447699407624734,\n\ \ \"acc_norm\": 0.708092485549133,\n \"acc_norm_stderr\": 0.02447699407624734\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42793296089385474,\n\ \ \"acc_stderr\": 0.01654788799741611,\n \"acc_norm\": 0.42793296089385474,\n\ \ \"acc_norm_stderr\": 0.01654788799741611\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7320261437908496,\n \"acc_stderr\": 0.025360603796242557,\n\ \ \"acc_norm\": 0.7320261437908496,\n \"acc_norm_stderr\": 0.025360603796242557\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\ \ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\ \ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7160493827160493,\n \"acc_stderr\": 0.025089478523765137,\n\ \ \"acc_norm\": 0.7160493827160493,\n \"acc_norm_stderr\": 0.025089478523765137\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4530638852672751,\n\ \ \"acc_stderr\": 0.012713845972358986,\n \"acc_norm\": 0.4530638852672751,\n\ \ \"acc_norm_stderr\": 0.012713845972358986\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6507352941176471,\n \"acc_stderr\": 0.028959755196824873,\n\ \ \"acc_norm\": 0.6507352941176471,\n \"acc_norm_stderr\": 0.028959755196824873\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6519607843137255,\n \"acc_stderr\": 0.019270998708223977,\n \ \ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.019270998708223977\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128445,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128445\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.02619392354445412,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.02619392354445412\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5030599755201959,\n\ \ \"mc1_stderr\": 0.017503173260960625,\n \"mc2\": 0.6336908170998187,\n\ \ \"mc2_stderr\": 0.01575011120254939\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8200473559589582,\n \"acc_stderr\": 0.01079646868806868\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.533737680060652,\n \ \ \"acc_stderr\": 0.01374109641222676\n }\n}\n```" repo_url: https://huggingface.co/v1olet/v1olet_merged_dpo_7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|arc:challenge|25_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-12T12-46-34.899299.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|gsm8k|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hellaswag|10_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-46-34.899299.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-12T12-46-34.899299.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-12T12-46-34.899299.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_12T12_46_34.899299 path: - '**/details_harness|winogrande|5_2023-12-12T12-46-34.899299.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-12T12-46-34.899299.parquet' - config_name: results data_files: - split: 2023_12_12T12_46_34.899299 path: - results_2023-12-12T12-46-34.899299.parquet - split: latest path: - results_2023-12-12T12-46-34.899299.parquet --- # Dataset Card for Evaluation run of v1olet/v1olet_merged_dpo_7B  Dataset automatically created during the evaluation run of model [v1olet/v1olet_merged_dpo_7B](https://huggingface.co/v1olet/v1olet_merged_dpo_7B) 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_v1olet__v1olet_merged_dpo_7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-12T12:46:34.899299](https://huggingface.co/datasets/open-llm-leaderboard/details_v1olet__v1olet_merged_dpo_7B/blob/main/results_2023-12-12T12-46-34.899299.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": 0.6440679427811095, "acc_stderr": 0.03250447611787324, "acc_norm": 0.646485224747175, "acc_norm_stderr": 0.03316159386352293, "mc1": 0.5030599755201959, "mc1_stderr": 0.017503173260960625, "mc2": 0.6336908170998187, "mc2_stderr": 0.01575011120254939 }, "harness|arc:challenge|25": { "acc": 0.6766211604095563, "acc_stderr": 0.013669421630012136, "acc_norm": 0.7133105802047781, "acc_norm_stderr": 0.013214986329274783 }, "harness|hellaswag|10": { "acc": 0.7018522206731727, "acc_stderr": 0.004565098421085227, "acc_norm": 0.8734315873332006, "acc_norm_stderr": 0.003318093579702922 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.028637235639800886, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.028637235639800886 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.75, "acc_stderr": 0.03621034121889507, "acc_norm": 0.75, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4411764705882353, "acc_stderr": 0.049406356306056595, "acc_norm": 0.4411764705882353, "acc_norm_stderr": 0.049406356306056595 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5659574468085107, "acc_stderr": 0.032400380867927465, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.032400380867927465 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555498, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555498 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42328042328042326, "acc_stderr": 0.02544636563440678, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.02544636563440678 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4126984126984127, "acc_stderr": 0.04403438954768176, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.04403438954768176 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7548387096774194, "acc_stderr": 0.024472243840895518, "acc_norm": 0.7548387096774194, "acc_norm_stderr": 0.024472243840895518 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.47783251231527096, "acc_stderr": 0.035145285621750094, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.035145285621750094 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.032568666616811015, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.032568666616811015 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7777777777777778, "acc_stderr": 0.02962022787479047, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.02962022787479047 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8808290155440415, "acc_stderr": 0.023381935348121427, "acc_norm": 0.8808290155440415, "acc_norm_stderr": 0.023381935348121427 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402534, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402534 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131147, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131147 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.680672268907563, "acc_stderr": 0.030283995525884396, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.030283995525884396 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8220183486238533, "acc_stderr": 0.0163994363666129, "acc_norm": 0.8220183486238533, "acc_norm_stderr": 0.0163994363666129 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7990196078431373, "acc_stderr": 0.028125972265654373, "acc_norm": 0.7990196078431373, "acc_norm_stderr": 0.028125972265654373 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7805907172995781, "acc_stderr": 0.026939106581553945, "acc_norm": 0.7805907172995781, "acc_norm_stderr": 0.026939106581553945 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7085201793721974, "acc_stderr": 0.03050028317654584, "acc_norm": 0.7085201793721974, "acc_norm_stderr": 0.03050028317654584 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7557251908396947, "acc_stderr": 0.03768335959728744, "acc_norm": 0.7557251908396947, "acc_norm_stderr": 0.03768335959728744 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990945, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990945 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243839, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243839 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7116564417177914, "acc_stderr": 0.035590395316173425, "acc_norm": 0.7116564417177914, "acc_norm_stderr": 0.035590395316173425 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.44642857142857145, "acc_stderr": 0.047184714852195886, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.047184714852195886 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.039891398595317706, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.039891398595317706 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179333, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179333 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.80970625798212, "acc_stderr": 0.014036945850381387, "acc_norm": 0.80970625798212, "acc_norm_stderr": 0.014036945850381387 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.708092485549133, "acc_stderr": 0.02447699407624734, "acc_norm": 0.708092485549133, "acc_norm_stderr": 0.02447699407624734 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.42793296089385474, "acc_stderr": 0.01654788799741611, "acc_norm": 0.42793296089385474, "acc_norm_stderr": 0.01654788799741611 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7320261437908496, "acc_stderr": 0.025360603796242557, "acc_norm": 0.7320261437908496, "acc_norm_stderr": 0.025360603796242557 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7106109324758842, "acc_stderr": 0.025755865922632945, "acc_norm": 0.7106109324758842, "acc_norm_stderr": 0.025755865922632945 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7160493827160493, "acc_stderr": 0.025089478523765137, "acc_norm": 0.7160493827160493, "acc_norm_stderr": 0.025089478523765137 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5070921985815603, "acc_stderr": 0.02982449855912901, "acc_norm": 0.5070921985815603, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4530638852672751, "acc_stderr": 0.012713845972358986, "acc_norm": 0.4530638852672751, "acc_norm_stderr": 0.012713845972358986 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6507352941176471, "acc_stderr": 0.028959755196824873, "acc_norm": 0.6507352941176471, "acc_norm_stderr": 0.028959755196824873 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6519607843137255, "acc_stderr": 0.019270998708223977, "acc_norm": 0.6519607843137255, "acc_norm_stderr": 0.019270998708223977 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6818181818181818, "acc_stderr": 0.04461272175910509, "acc_norm": 0.6818181818181818, "acc_norm_stderr": 0.04461272175910509 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.726530612244898, "acc_stderr": 0.028535560337128445, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.028535560337128445 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.02619392354445412, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.02619392354445412 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-virology|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.5030599755201959, "mc1_stderr": 0.017503173260960625, "mc2": 0.6336908170998187, "mc2_stderr": 0.01575011120254939 }, "harness|winogrande|5": { "acc": 0.8200473559589582, "acc_stderr": 0.01079646868806868 }, "harness|gsm8k|5": { "acc": 0.533737680060652, "acc_stderr": 0.01374109641222676 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

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MatsuoDochiai/Roxy

MatsuoDochiai

2023-12-12T12:56:03Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T12:53:14Z

--- license: openrail ---

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AshtonLKY/resampled_audio_morethan4

AshtonLKY

2023-12-12T13:14:28Z

0

[ "region:us" ]

null

2023-12-12T13:07:42Z

--- dataset_info: features: - name: audio dtype: audio - name: transcript dtype: string splits: - name: train num_bytes: 3245378777.43 num_examples: 21690 download_size: 3671209553 dataset_size: 3245378777.43 configs: - config_name: default data_files: - split: train path: data/train-* ---

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derexHf/MathInstruct

derexHf

2023-12-12T13:28:22Z

0

1

[ "region:us" ]

null

2023-12-12T13:28:20Z

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 2992439 num_examples: 1000 download_size: 1311974 dataset_size: 2992439 configs: - config_name: default data_files: - split: train path: data/train-* ---

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felixz/open_leaderboard_dataset

felixz

2023-12-12T13:36:03Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T13:36:03Z

--- license: apache-2.0 ---

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derexHf/MathInstructTop2K

derexHf

2023-12-12T13:40:05Z

0

[ "region:us" ]

null

2023-12-12T13:40:02Z

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 5591391 num_examples: 2000 download_size: 2494977 dataset_size: 5591391 configs: - config_name: default data_files: - split: train path: data/train-* ---

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jbilcke-hf/ai-tube-fail-diffusion

jbilcke-hf

2023-12-12T23:13:03Z

0

[ "license:cc-by-nc-sa-4.0", "region:us" ]

null

2023-12-12T13:46:46Z

--- license: cc-by-nc-sa-4.0 pretty_name: Fail Diffusion --- ## Description A compilation of the best latent workplace fails and other funny events caught during neural network training! ## Model SVD ## Style Security camera footage, security footage, fisheye camera, funny fail ## Voice Cloée ## Prompt A video channel which generates virtual security cam footage, of workplace fails, funny animals doing weird things, door cams, close calls, etc Examples includes, but are not limited to: servers or delivery people making fragile things fall and break, demolition going wrong, people slipping, hitting transparent windows, people forgetting the brakes on their car, animals doing funny things eg cats missing their jumps, and so on. The channel should not show dangerous accidents, death, or dangerous behavior that children could reproduce at home (eg. playing with fire). Instead, the content of the videos should be moderated, and be mild in its violence. Eg. a video of someone falling is okay, but someone beating someone else is NOT! we do not want to see gratuitous violence, hate or gore accidents! In the same way, the content should not be sexist, sexual in nature, hateful, making fun of famous people, communities, cultures or religions.

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testozgun/audio

testozgun

2023-12-12T13:56:24Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T13:55:13Z

--- license: apache-2.0 ---

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polinaeterna/cail2018

polinaeterna

2023-12-12T14:54:38Z

0

[ "region:us" ]

null

2023-12-12T14:37:46Z

--- dataset_info: features: - name: fact dtype: string - name: relevant_articles sequence: int32 - name: accusation sequence: string - name: punish_of_money dtype: float32 - name: criminals sequence: string - name: death_penalty dtype: bool - name: imprisonment dtype: float32 - name: life_imprisonment dtype: bool splits: - name: exercise_contest_train num_bytes: 220112348 num_examples: 154592 - name: exercise_contest_valid num_bytes: 21702109 num_examples: 17131 - name: exercise_contest_test num_bytes: 41057538 num_examples: 32508 - name: first_stage_train num_bytes: 1779653382 num_examples: 1710856 - name: first_stage_test num_bytes: 244334666 num_examples: 217016 - name: final_test num_bytes: 44194611 num_examples: 35922 download_size: 1167865756 dataset_size: 2351054654 configs: - config_name: default data_files: - split: exercise_contest_train path: data/exercise_contest_train-* - split: exercise_contest_valid path: data/exercise_contest_valid-* - split: exercise_contest_test path: data/exercise_contest_test-* - split: first_stage_train path: data/first_stage_train-* - split: first_stage_test path: data/first_stage_test-* - split: final_test path: data/final_test-* ---

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Rafael17/trevorvoice

Rafael17

2023-12-12T14:47:17Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T14:46:01Z

--- license: openrail ---

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Marcus12/bulunamayanlar

Marcus12

2023-12-12T15:02:06Z

0

[ "task_categories:token-classification", "size_categories:n<1K", "language:tr", "language:en", "not-for-all-audiences", "region:us" ]

[ "token-classification" ]

2023-12-12T14:47:32Z

--- task_categories: - token-classification language: - tr - en tags: - not-for-all-audiences size_categories: - n<1K ---

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Seongill/squad_conflict_v2_under_150_with_substitution_chunked_with_wiki_similar

Seongill

2023-12-12T15:02:14Z

0

[ "region:us" ]

null

2023-12-12T15:01:49Z

--- dataset_info: features: - name: id dtype: string - name: context dtype: string - name: question dtype: string - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string - name: masked_query dtype: string - name: query_embedding sequence: float64 - name: ent_type dtype: string - name: answer dtype: string - name: random_answer dtype: string - name: similar_answer dtype: string - name: rewritten_context dtype: string - name: has_answer dtype: bool - name: answer_sent dtype: string - name: rewritten_answer_sent dtype: string - name: answer_chunk dtype: string - name: rewritten_answer_chunk dtype: string - name: wiki_similar dtype: string splits: - name: train num_bytes: 238555780 num_examples: 25866 download_size: 153713075 dataset_size: 238555780 configs: - config_name: default data_files: - split: train path: data/train-* ---

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tyzhu/wikitext-103-raw-v1-sent-permute-1

tyzhu

2023-12-12T15:17:11Z

0

[ "region:us" ]

null

2023-12-12T15:15:49Z

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1091572850 num_examples: 3602699 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 631581820 dataset_size: 1094037226 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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tyzhu/wikitext-103-raw-v1-sent-permute-3

tyzhu

2023-12-12T15:18:55Z

0

[ "region:us" ]

null

2023-12-12T15:17:17Z

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2181716652 num_examples: 7205397 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 1264108325 dataset_size: 2184181028 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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tyzhu/wikitext-103-raw-v1-sent-permute-5

tyzhu

2023-12-12T15:21:24Z

0

[ "region:us" ]

null

2023-12-12T15:19:03Z

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 3271860454 num_examples: 10808095 - name: validation num_bytes: 1159288 num_examples: 3760 - name: test num_bytes: 1305088 num_examples: 4358 download_size: 1896601051 dataset_size: 3274324830 --- # Dataset Card for "wikitext-103-raw-v1-sent-permute-5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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otavinshow/minhavoz

otavinshow

2023-12-12T15:26:53Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T15:25:01Z

--- license: openrail ---

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collabora/whisper-hindi-preprocessed-no-augment

collabora

2023-12-12T18:33:21Z

0

[ "region:us" ]

null

2023-12-12T16:15:32Z

--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: input_length dtype: float64 - name: labels sequence: int64 splits: - name: train num_bytes: 421401404249.4386 num_examples: 437874 - name: test num_bytes: 2093443544.0 num_examples: 2179 download_size: 202586142370 dataset_size: 423494847793.4386 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

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Dacavi/hindi-dataset

Dacavi

2023-12-13T19:32:11Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T16:18:54Z

--- license: apache-2.0 dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 6283293032 num_examples: 6540 - name: test num_bytes: 2780330000 num_examples: 2894 download_size: 1532686989 dataset_size: 9063623032 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

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streami/bwollehlah

streami

2023-12-12T16:41:08Z

0

[ "license:other", "region:us" ]

null

2023-12-12T16:28:15Z

--- license: other license_name: ganzerfilme license_link: LICENSE ---

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TheHenk/mydata

TheHenk

2023-12-13T08:54:16Z

0

[ "license:mit", "region:us" ]

null

2023-12-12T16:33:37Z

--- license: mit ---

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Vinnyyw/Belinda

Vinnyyw

2023-12-12T16:42:11Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T16:40:32Z

--- license: openrail ---

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KSU-HW-SEC/LLM4SecHW-OSHD

KSU-HW-SEC

2023-12-14T02:38:03Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T16:41:32Z

--- license: apache-2.0 --- # Open-source Hardware Debug(OSHD) Dataset ## Major contributors: * Mr. Weimin Fu (Kansas State University) * Dr. Kaichen Yang (Michigan Technological University) * Dr. Raj Gautam Dutta (Silicon Assurance) * Dr. Xiaolong Guo (Kansas State University) * Dr. Gang Qu (University of Maryland) **✉ Correspondence to:** Weimin Fu ([email protected]) or Xiaolong Guo ([email protected]) ## Citation Information Please cite the following paper when using the OSHD Dataset. ``` @article{fu2023llm4sechw, title={LLM4SecHW: Leavering Domain-Specific Large Language Model for Hardware Debugging}, author={Fu, Weimin and Yang, Kaichen and Dutta, Raj Gautam and Guo, Xiaolong and Qu, Gang}, journal={Asian Hardware Oriented Security and Trust (AsianHOST)}, year={2023} } ``` ### Update from our group for Hardware domain-specific LLM: Blog: [Large Language Model for Hardware Security](https://ece.k-state.edu/research/hardware-security/llm.html) HomePage: [Hardware Security Lab](https://ece.k-state.edu/research/hardware-security/) ## Introduction The Open-source Hardware Debug Dataset is a meticulously curated collection of information extracted and cleansed from the version control systems of various popular open-source hardware designs. This dataset is designed to aid in the development and fine-tuning of Language Models (LLMs) for hardware debugging tasks. ### Dataset Utilization in Research This dataset has been prominently utilized in the [research paper](https://ece.k-state.edu/research/hardware-security/papers/AsianHost_LLMs_Debug_2023_CR.pdf): Fu, W., Yang, K., Dutta, R. G., Guo, X., & Qu, G. (2023). LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging. *Asian Hardware Oriented Security and Trust (AsianHOST)*. ## Dataset Composition Our dataset includes data from several renowned open-source hardware projects, such as: - Pulp: [GitHub - Pulp Platform](https://github.com/pulp-platform/pulp) - darkriscv: [GitHub - darklife](https://github.com/darklife/darkriscv) - OpenPiton: [GitHub - Princeton University](https://github.com/PrincetonUniversity/openpiton) - CVA6: [GitHub - OpenHW Group](https://github.com/openhwgroup/cva6) - mor1kx: [GitHub - OpenRISC](https://github.com/openrisc/mor1kx) - Ibex: [GitHub - lowRISC](https://github.com/lowRISC/ibex) - OpenTitan: [GitHub - lowRISC](https://github.com/lowRISC/opentitan) ## Building Process The dataset building starts with issues labeled as 'Bug'. By analyzing the dialogue within these issues and identifying associated pull requests (PRs), we locate the PR corresponding to each issue. Each PR includes 'Files changed' information, enabling us to identify the modified hardware design source code, its path, the version before and after the modification, and the modification itself (patch). ## Supported Tasks This dataset is particularly tailored for fine-tuning Language Learning Models (LLMs) in hardware debugging tasks. ## Dataset Structure The dataset is available in two versions: - Version 1 includes modifications in hardware projects written in Verilog language. - Version 2 encompasses code modifications marked as BUG fixes, traced through the complete issue-PR-file change pathway. ## Examples **Version 1 Example:** ```json { "filename": "bhv/cv32e40s_rvfi.sv", "before": "// Copyright (c) 2020 OpenHW Group\n//\n//.....", "after": "// Copyright (c) 2020 OpenHW Group\n//\n//.....", "commit_message": "Merge pull request #468 from silabs-oysteink/s", "pull_number": "468", "pull_title": "Fix for issue where rvfi_intr could have the w...", "pull_body": "Resetting 'dummy_suppressed_intr' if a new int..." } ``` **Version 2 Example:** ```json { "filename": "corev_apu/tb/ariane_...", "before": "/* Copyright 2018 ET...", "after": "/* Copyright 2018 ET...", "commit_message": "AXI master in Ariane...", "pull_number": 1182, "pull_title": "Add AXI parameter in...", "pull_body": "The axi stuctures we...", "repo_name": "openhwgroup/cva6", "commit_sha": "3919983fdf96b152a877...", "patch": "@@ -17,15 +17,12 @@\n...", "Issue title": "[BUG] rvfi_pkg dupli...", "Issue Body": "### Is there an exis...", "Issue labels": "Type:Bug", "Comments": "JeanRochCoulon: Good..." } ``` ## Data Fields The Open-source Hardware Debug Dataset consists of the following fields in its JSON structure, providing comprehensive information about each code modification: 1. **Filename:** The path and name of the file that was modified in the hardware project. 2. **Before:** The content of the file before the modification, typically showing the original code or configuration. 3. **After:** The content of the file after the modification, illustrating the changes made. 4. **Commit Message:** A brief description of the changes made, usually associated with the commit in version control systems. 5. **Pull Number:** The unique identifier of the pull request on the project’s repository that contains the modification. 6. **Pull Title:** The title of the pull request, often summarizing the nature or purpose of the change. 7. **Pull Body:** A detailed description provided in the pull request, explaining the reason for the change, its impact, and any additional context. 8. **Repo Name:** The name of the repository where the modification occurred, providing a reference to the source project. 9. **Commit SHA:** The SHA (Secure Hash Algorithm) identifier of the commit, offering a precise reference to the specific change in the project’s history. 10. **Patch:** A detailed view of the changes made in the file, represented in diff format, showing exactly what was added, removed, or altered. 11. **Issue Title:** The title of the issue related to the bug that the modification addresses. 12. **Issue Body:** The detailed description of the issue, providing insights into the problem that prompted the modification. 13. **Issue Labels:** Tags or labels assigned to the issue, such as "Type:Bug," helping to categorize and prioritize the issue. 14. **Comments:** Any comments made on the issue, offering additional perspectives or discussions related to the modification. This comprehensive set of data fields ensures that users of the dataset have a thorough understanding of each modification, its context, and its implications, making it an invaluable resource for debugging and improving hardware designs. ## Data Splits Each configuration contains a single training split. ## Acknowledgment Portions of this work were supported by the National Science Foundation (CCF-2019310, First Award Program of ARISE in EPSCoR 2148878). ## License This dataset is made available under the Apache License, Version 2.0 (Apache-2.0). The Apache 2.0 License is a permissive open-source license that allows for broad use, modification, and distribution of the licensed software. Key points of the Apache 2.0 License include: - **Permissiveness**: This license allows for the use, reproduction, modification, distribution, and sublicensing of the software, both in source and binary forms. - **Attribution**: You must give appropriate credit, provide a link to the license, and indicate if changes were made. - **State Changes**: If you modify the software, you must clearly indicate your changes. - **No Warranty**: The software is provided "as is" without any warranties. For the full terms and conditions, as well as further details, please refer to the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) official webpage.

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louisbrulenaudet/dac6-instruct

louisbrulenaudet

2023-12-12T16:58:21Z

0

[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:n<1K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "tax", "llm", "fiscal", "cgi", "DAC6", "DAC6 – directive 2018/822 du Conseil du 25 mai 2018 relative à l’échange automatique et obligatoire d’informations dans le domaine fiscal", "doi:10.57967/hf/1452", "region:us" ]

[ "text-generation", "table-question-answering", "summarization", "conversational" ]

2023-12-12T16:53:30Z

--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - tax - llm - fiscal - cgi - DAC6 - >- DAC6 – directive 2018/822 du Conseil du 25 mai 2018 relative à l’échange automatique et obligatoire d’informations dans le domaine fiscal source_datasets: - original pretty_name: DAC6 task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - n<1K --- # DAC6 instruct (11-12-2023) “DAC 6” refers to European Council Directive (EU) 2018/822 of May 25, 2018 relating to the automatic and mandatory exchange of information on cross-border arrangements requiring declaration. It aims to strengthen cooperation between tax administrations in EU countries on potentially aggressive tax planning arrangements. This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for tax practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {DAC6 instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/dac6-instruct}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).

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panikos/nutrition5k_dataset

panikos

2023-12-12T17:01:46Z

0

[ "license:cc-by-4.0", "region:us" ]

null

2023-12-12T17:01:46Z

--- license: cc-by-4.0 ---

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Seongill/squad_adversarial_thres2

Seongill

2023-12-12T17:10:47Z

0

[ "region:us" ]

null

2023-12-12T17:10:33Z

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: answer_sent dtype: string - name: new_answer_sent dtype: string - name: new_answer_chunk dtype: string - name: similar_answer dtype: string - name: answer_chunk dtype: string - name: query_embedding sequence: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 179441124 num_examples: 22978 download_size: 128700074 dataset_size: 179441124 configs: - config_name: default data_files: - split: train path: data/train-* ---

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CyberHarem/ilyukhina_irina_renaiflops

CyberHarem

2023-12-12T17:30:18Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T17:18:44Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Ilyukhina Irina This is the dataset of Ilyukhina Irina, containing 177 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 177 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 377 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 429 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 177 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 177 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 177 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 377 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 377 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 273 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 429 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 429 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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polinaeterna/int_float

polinaeterna

2023-12-12T17:28:41Z

0

[ "region:us" ]

null

2023-12-12T17:27:02Z

--- dataset_info: features: - name: int dtype: int64 - name: float dtype: float64 splits: - name: train num_bytes: 1600000000 num_examples: 100000000 download_size: 1169918838 dataset_size: 1600000000 configs: - config_name: default data_files: - split: train path: data/train-* ---

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polinaeterna/big_example

polinaeterna

2023-12-12T17:37:49Z

0

[ "region:us" ]

null

2023-12-12T17:37:39Z

--- dataset_info: features: - name: int dtype: int64 - name: float dtype: float64 - name: bool dtype: bool - name: string dtype: string - name: text dtype: string splits: - name: train num_bytes: 638874579 num_examples: 5000000 download_size: 86966133 dataset_size: 638874579 configs: - config_name: default data_files: - split: train path: data/train-* ---

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CyberHarem/bai_mongfa_renaiflops

CyberHarem

2023-12-12T18:03:08Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T17:45:07Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Bai Mongfa This is the dataset of Bai Mongfa, containing 164 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 164 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 366 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 439 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 164 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 164 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 164 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 366 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 366 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 301 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 439 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 439 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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carlosfuy/sgdhfdde

carlosfuy

2023-12-12T18:04:53Z

0

[ "license:afl-3.0", "region:us" ]

null

2023-12-12T18:03:07Z

--- license: afl-3.0 ---

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Dacavi/spanish-dataset

Dacavi

2023-12-13T20:36:27Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T18:09:17Z

--- license: apache-2.0 dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: test num_bytes: 96050672 num_examples: 100 - name: train num_bytes: 14897493976 num_examples: 15510 download_size: 3158166164 dataset_size: 14993544648 configs: - config_name: default data_files: - split: test path: data/train-* - split: train path: data/test-* ---

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CyberHarem/izumisawa_aoi_renaiflops

CyberHarem

2023-12-12T18:28:05Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T18:14:52Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Izumisawa Aoi This is the dataset of Izumisawa Aoi, containing 136 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 136 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 276 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 336 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 136 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 136 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 136 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 276 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 276 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 232 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 336 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 336 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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jaystoneshi/mus

jaystoneshi

2023-12-14T15:44:09Z

0

[ "license:apache-2.0", "region:us" ]

null

2023-12-12T18:21:47Z

--- license: apache-2.0 ---

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RustamovPY/books_dataset

RustamovPY

2023-12-12T18:41:30Z

0

[ "region:us" ]

null

2023-12-12T18:24:01Z

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: voice dtype: string - name: text dtype: string - name: speaker dtype: string splits: - name: train num_bytes: 168 num_examples: 3 download_size: 1810 dataset_size: 168 --- # Dataset Card for "books_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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LLMLegalAssistant/datasets

LLMLegalAssistant

2023-12-17T15:00:59Z

0

[ "license:mit", "region:us" ]

null

2023-12-12T18:32:40Z

--- license: mit ---

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CyberHarem/izawa_ai_renaiflops

CyberHarem

2023-12-12T18:41:47Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T18:36:30Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Izawa Ai This is the dataset of Izawa Ai, containing 101 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 101 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 197 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 238 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 101 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 101 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 101 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 197 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 197 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 176 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 238 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 238 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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Carlosgg14/piccolo

Carlosgg14

2023-12-12T18:44:29Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T18:40:44Z

--- license: openrail ---

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louisbrulenaudet/code-artisanat

louisbrulenaudet

2023-12-12T18:49:04Z

0

[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de l'artisanat", "doi:10.57967/hf/1457", "region:us" ]

[ "text-generation", "table-question-answering", "summarization", "conversational" ]

2023-12-12T18:49:02Z

--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de l'artisanat source_datasets: - original pretty_name: Code de l'artisanat task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de l'artisanat, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de l'artisanat, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-artisanat}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).

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Laethitia/GaaraIA

Laethitia

2023-12-12T18:55:25Z

0

[ "license:openrail", "region:us" ]

null

2023-12-12T18:54:08Z

--- license: openrail ---

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CyberHarem/istel_karin_renaiflops

CyberHarem

2023-12-12T19:00:48Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T18:58:13Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Istel Karin This is the dataset of Istel Karin, containing 193 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 193 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 437 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 495 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 193 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 193 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 193 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 437 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 437 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 358 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 495 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 495 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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louisbrulenaudet/code-commande-publique

louisbrulenaudet

2023-12-12T18:59:40Z

0

[ "task_categories:text-generation", "task_categories:table-question-answering", "task_categories:summarization", "task_categories:conversational", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:fr", "license:apache-2.0", "finetuning", "legal", "french law", "droit français", "Code de la commande publique", "doi:10.57967/hf/1458", "region:us" ]

[ "text-generation", "table-question-answering", "summarization", "conversational" ]

2023-12-12T18:59:37Z

--- license: apache-2.0 language: - fr multilinguality: - monolingual tags: - finetuning - legal - french law - droit français - Code de la commande publique source_datasets: - original pretty_name: Code de la commande publique task_categories: - text-generation - table-question-answering - summarization - conversational size_categories: - 1K<n<10K --- # Code de la commande publique, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies involve supervised learning with labeled data, instruction-based fine-tuning introduces a more structured and interpretable approach. Instruction-based fine-tuning leverages the power of human-provided instructions to guide the model's behavior. These instructions can be in the form of text prompts, prompts with explicit task descriptions, or a combination of both. This approach allows for a more controlled and context-aware interaction with the LLM, making it adaptable to a multitude of specialized tasks. Instruction-based fine-tuning significantly enhances the performance of LLMs in the following ways: - Task-Specific Adaptation: LLMs, when fine-tuned with specific instructions, exhibit remarkable adaptability to diverse tasks. They can switch seamlessly between translation, summarization, and question-answering, guided by the provided instructions. - Reduced Ambiguity: Traditional LLMs might generate ambiguous or contextually inappropriate responses. Instruction-based fine-tuning allows for a clearer and more context-aware generation, reducing the likelihood of nonsensical outputs. - Efficient Knowledge Transfer: Instructions can encapsulate domain-specific knowledge, enabling LLMs to benefit from expert guidance. This knowledge transfer is particularly valuable in fields like tax practice, law, medicine, and more. - Interpretability: Instruction-based fine-tuning also makes LLM behavior more interpretable. Since the instructions are human-readable, it becomes easier to understand and control model outputs. - Adaptive Behavior: LLMs, post instruction-based fine-tuning, exhibit adaptive behavior that is responsive to both explicit task descriptions and implicit cues within the provided text. ## Dataset generation This JSON file is a list of dictionaries, each dictionary contains the following fields: - `instruction`: `string`, presenting the instruction linked to the element. - `input`: `string`, signifying the input details for the element. - `output`: `string`, indicating the output information for the element. We used the following list of instructions for generating the dataset: ```python instructions = [ "Compose l'intégralité de l'article sous forme écrite.", "Écris la totalité du contenu de l'article.", "Formule la totalité du texte présent dans l'article.", "Produis l'intégralité de l'article en écriture.", "Développe l'article dans son ensemble par écrit.", "Génère l'ensemble du texte contenu dans l'article.", "Formule le contenu intégral de l'article en entier.", "Rédige la totalité du texte de l'article en entier.", "Compose l'intégralité du contenu textuel de l'article.", "Rédige l'ensemble du texte qui constitue l'article.", "Formule l'article entier dans son contenu écrit.", "Composez l'intégralité de l'article sous forme écrite.", "Écrivez la totalité du contenu de l'article.", "Formulez la totalité du texte présent dans l'article.", "Développez l'article dans son ensemble par écrit.", "Générez l'ensemble du texte contenu dans l'article.", "Formulez le contenu intégral de l'article en entier.", "Rédigez la totalité du texte de l'article en entier.", "Composez l'intégralité du contenu textuel de l'article.", "Écrivez l'article dans son intégralité en termes de texte.", "Rédigez l'ensemble du texte qui constitue l'article.", "Formulez l'article entier dans son contenu écrit.", "Composer l'intégralité de l'article sous forme écrite.", "Écrire la totalité du contenu de l'article.", "Formuler la totalité du texte présent dans l'article.", "Produire l'intégralité de l'article en écriture.", "Développer l'article dans son ensemble par écrit.", "Générer l'ensemble du texte contenu dans l'article.", "Formuler le contenu intégral de l'article en entier.", "Rédiger la totalité du texte de l'article en entier.", "Composer l'intégralité du contenu textuel de l'article.", "Rédiger l'ensemble du texte qui constitue l'article.", "Formuler l'article entier dans son contenu écrit.", "Quelles sont les dispositions de l'article ?", "Quelles dispositions sont incluses dans l'article ?", "Quelles sont les dispositions énoncées dans l'article ?", "Quel est le texte intégral de l'article ?", "Quelle est la lettre de l'article ?" ] ``` ## Citing this project If you use this code in your research, please use the following BibTeX entry. ```BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {Code de la commande publique, non-instruct (11-12-2023)}, howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/code-commande-publique}}, year = {2023} } ``` ## Feedback If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).

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CyberHarem/feynman_yoshino_renaiflops

CyberHarem

2023-12-12T19:07:49Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T19:06:28Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Feynman Yoshino This is the dataset of Feynman Yoshino, containing 74 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 74 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 168 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 207 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 74 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 74 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 74 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 168 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 168 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 142 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 207 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 207 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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indra-inc/signature_genuine_forged_combined_cedar_beng_hindi

indra-inc

2023-12-12T20:16:58Z

0

[ "region:us" ]

null

2023-12-12T19:08:54Z

--- dataset_info: features: - name: Label dtype: int64 - name: Anchor_Signature_Image dtype: image - name: Pos_Neg_Signature_Image dtype: image splits: - name: train num_bytes: 107817711375.17 num_examples: 214074 - name: valid num_bytes: 23059117558.956 num_examples: 45873 - name: test num_bytes: 23236559366.574 num_examples: 45873 download_size: 18518085261 dataset_size: 154113388300.7 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---

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CyberHarem/irving_amelia_renaiflops

CyberHarem

2023-12-12T19:23:13Z

0

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

[ "text-to-image" ]

2023-12-12T19:20:49Z

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Irving Amelia This is the dataset of Irving Amelia, containing 165 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 165 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 364 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 399 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 165 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 165 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 165 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 364 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 364 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 279 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 399 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 399 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

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