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open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-40b | open-llm-leaderboard | 2023-12-04T15:03:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:02:48Z | ---
pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-40b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [AI-Sweden-Models/gpt-sw3-40b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-40b)\
\ 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_AI-Sweden-Models__gpt-sw3-40b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:00:33.518629](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-40b/blob/main/results_2023-12-04T15-00-33.518629.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\": 0.354049089015047,\n\
\ \"acc_stderr\": 0.033417526940887884,\n \"acc_norm\": 0.35741274788934346,\n\
\ \"acc_norm_stderr\": 0.03422297037663694,\n \"mc1\": 0.22276621787025705,\n\
\ \"mc1_stderr\": 0.014566506961396728,\n \"mc2\": 0.3752465265593006,\n\
\ \"mc2_stderr\": 0.013533322814931005\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.40102389078498296,\n \"acc_stderr\": 0.01432225579071987,\n\
\ \"acc_norm\": 0.4300341296928328,\n \"acc_norm_stderr\": 0.014467631559137993\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.535749850627365,\n\
\ \"acc_stderr\": 0.004977010670436551,\n \"acc_norm\": 0.7236606253734316,\n\
\ \"acc_norm_stderr\": 0.004462727543055892\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\": 0.4,\n \
\ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.4,\n \"\
acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.2631578947368421,\n \"acc_stderr\": 0.03583496176361063,\n\
\ \"acc_norm\": 0.2631578947368421,\n \"acc_norm_stderr\": 0.03583496176361063\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.3471698113207547,\n \"acc_stderr\": 0.029300101705549655,\n\
\ \"acc_norm\": 0.3471698113207547,\n \"acc_norm_stderr\": 0.029300101705549655\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3541666666666667,\n\
\ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.3541666666666667,\n\
\ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768079,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768079\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.44,\n \"acc_stderr\": 0.0498887651569859,\n \"acc_norm\": 0.44,\n\
\ \"acc_norm_stderr\": 0.0498887651569859\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\": 0.28901734104046245,\n\
\ \"acc_stderr\": 0.034564257450869995,\n \"acc_norm\": 0.28901734104046245,\n\
\ \"acc_norm_stderr\": 0.034564257450869995\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.1568627450980392,\n \"acc_stderr\": 0.03618664819936245,\n\
\ \"acc_norm\": 0.1568627450980392,\n \"acc_norm_stderr\": 0.03618664819936245\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.31063829787234043,\n \"acc_stderr\": 0.03025123757921317,\n\
\ \"acc_norm\": 0.31063829787234043,\n \"acc_norm_stderr\": 0.03025123757921317\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.21929824561403508,\n\
\ \"acc_stderr\": 0.038924311065187546,\n \"acc_norm\": 0.21929824561403508,\n\
\ \"acc_norm_stderr\": 0.038924311065187546\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.3724137931034483,\n \"acc_stderr\": 0.04028731532947559,\n\
\ \"acc_norm\": 0.3724137931034483,\n \"acc_norm_stderr\": 0.04028731532947559\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2619047619047619,\n \"acc_stderr\": 0.022644212615525214,\n \"\
acc_norm\": 0.2619047619047619,\n \"acc_norm_stderr\": 0.022644212615525214\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3412698412698413,\n\
\ \"acc_stderr\": 0.04240799327574924,\n \"acc_norm\": 0.3412698412698413,\n\
\ \"acc_norm_stderr\": 0.04240799327574924\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.36129032258064514,\n\
\ \"acc_stderr\": 0.02732754844795754,\n \"acc_norm\": 0.36129032258064514,\n\
\ \"acc_norm_stderr\": 0.02732754844795754\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.2561576354679803,\n \"acc_stderr\": 0.0307127300709826,\n\
\ \"acc_norm\": 0.2561576354679803,\n \"acc_norm_stderr\": 0.0307127300709826\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\": 0.503030303030303,\n \"acc_stderr\": 0.03904272341431857,\n\
\ \"acc_norm\": 0.503030303030303,\n \"acc_norm_stderr\": 0.03904272341431857\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.3434343434343434,\n \"acc_stderr\": 0.03383201223244442,\n \"\
acc_norm\": 0.3434343434343434,\n \"acc_norm_stderr\": 0.03383201223244442\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.41450777202072536,\n \"acc_stderr\": 0.035553003195576735,\n\
\ \"acc_norm\": 0.41450777202072536,\n \"acc_norm_stderr\": 0.035553003195576735\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.28717948717948716,\n \"acc_stderr\": 0.02293992541853062,\n\
\ \"acc_norm\": 0.28717948717948716,\n \"acc_norm_stderr\": 0.02293992541853062\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895992,\n \
\ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895992\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.3067226890756303,\n \"acc_stderr\": 0.02995382389188704,\n \
\ \"acc_norm\": 0.3067226890756303,\n \"acc_norm_stderr\": 0.02995382389188704\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.271523178807947,\n \"acc_stderr\": 0.036313298039696525,\n \"\
acc_norm\": 0.271523178807947,\n \"acc_norm_stderr\": 0.036313298039696525\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.42752293577981654,\n \"acc_stderr\": 0.02121091020430043,\n \"\
acc_norm\": 0.42752293577981654,\n \"acc_norm_stderr\": 0.02121091020430043\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.17592592592592593,\n \"acc_stderr\": 0.02596742095825853,\n \"\
acc_norm\": 0.17592592592592593,\n \"acc_norm_stderr\": 0.02596742095825853\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.47549019607843135,\n \"acc_stderr\": 0.03505093194348798,\n \"\
acc_norm\": 0.47549019607843135,\n \"acc_norm_stderr\": 0.03505093194348798\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.4767932489451477,\n \"acc_stderr\": 0.032512152011410174,\n \
\ \"acc_norm\": 0.4767932489451477,\n \"acc_norm_stderr\": 0.032512152011410174\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.32286995515695066,\n\
\ \"acc_stderr\": 0.031381476375754995,\n \"acc_norm\": 0.32286995515695066,\n\
\ \"acc_norm_stderr\": 0.031381476375754995\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.45038167938931295,\n \"acc_stderr\": 0.04363643698524779,\n\
\ \"acc_norm\": 0.45038167938931295,\n \"acc_norm_stderr\": 0.04363643698524779\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.5537190082644629,\n \"acc_stderr\": 0.0453793517794788,\n \"acc_norm\"\
: 0.5537190082644629,\n \"acc_norm_stderr\": 0.0453793517794788\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.4074074074074074,\n\
\ \"acc_stderr\": 0.04750077341199986,\n \"acc_norm\": 0.4074074074074074,\n\
\ \"acc_norm_stderr\": 0.04750077341199986\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.294478527607362,\n \"acc_stderr\": 0.03581165790474082,\n\
\ \"acc_norm\": 0.294478527607362,\n \"acc_norm_stderr\": 0.03581165790474082\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.23214285714285715,\n\
\ \"acc_stderr\": 0.04007341809755803,\n \"acc_norm\": 0.23214285714285715,\n\
\ \"acc_norm_stderr\": 0.04007341809755803\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.4563106796116505,\n \"acc_stderr\": 0.049318019942204146,\n\
\ \"acc_norm\": 0.4563106796116505,\n \"acc_norm_stderr\": 0.049318019942204146\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.4188034188034188,\n\
\ \"acc_stderr\": 0.03232128912157792,\n \"acc_norm\": 0.4188034188034188,\n\
\ \"acc_norm_stderr\": 0.03232128912157792\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.4329501915708812,\n\
\ \"acc_stderr\": 0.017718469101513982,\n \"acc_norm\": 0.4329501915708812,\n\
\ \"acc_norm_stderr\": 0.017718469101513982\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.3265895953757225,\n \"acc_stderr\": 0.025248264774242826,\n\
\ \"acc_norm\": 0.3265895953757225,\n \"acc_norm_stderr\": 0.025248264774242826\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\": 0.3464052287581699,\n \"acc_stderr\": 0.02724561304721536,\n\
\ \"acc_norm\": 0.3464052287581699,\n \"acc_norm_stderr\": 0.02724561304721536\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.3504823151125402,\n\
\ \"acc_stderr\": 0.027098652621301754,\n \"acc_norm\": 0.3504823151125402,\n\
\ \"acc_norm_stderr\": 0.027098652621301754\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.37037037037037035,\n \"acc_stderr\": 0.026869490744815257,\n\
\ \"acc_norm\": 0.37037037037037035,\n \"acc_norm_stderr\": 0.026869490744815257\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.25886524822695034,\n \"acc_stderr\": 0.026129572527180848,\n \
\ \"acc_norm\": 0.25886524822695034,\n \"acc_norm_stderr\": 0.026129572527180848\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.33702737940026073,\n\
\ \"acc_stderr\": 0.012072836273691327,\n \"acc_norm\": 0.33702737940026073,\n\
\ \"acc_norm_stderr\": 0.012072836273691327\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.2536764705882353,\n \"acc_stderr\": 0.02643132987078954,\n\
\ \"acc_norm\": 0.2536764705882353,\n \"acc_norm_stderr\": 0.02643132987078954\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.34967320261437906,\n \"acc_stderr\": 0.01929196189506638,\n \
\ \"acc_norm\": 0.34967320261437906,\n \"acc_norm_stderr\": 0.01929196189506638\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.43636363636363634,\n\
\ \"acc_stderr\": 0.04750185058907297,\n \"acc_norm\": 0.43636363636363634,\n\
\ \"acc_norm_stderr\": 0.04750185058907297\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.47346938775510206,\n \"acc_stderr\": 0.03196412734523272,\n\
\ \"acc_norm\": 0.47346938775510206,\n \"acc_norm_stderr\": 0.03196412734523272\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.4427860696517413,\n\
\ \"acc_stderr\": 0.03512310964123937,\n \"acc_norm\": 0.4427860696517413,\n\
\ \"acc_norm_stderr\": 0.03512310964123937\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3493975903614458,\n\
\ \"acc_stderr\": 0.0371172519074075,\n \"acc_norm\": 0.3493975903614458,\n\
\ \"acc_norm_stderr\": 0.0371172519074075\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.47953216374269003,\n \"acc_stderr\": 0.038316105328219316,\n\
\ \"acc_norm\": 0.47953216374269003,\n \"acc_norm_stderr\": 0.038316105328219316\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.22276621787025705,\n\
\ \"mc1_stderr\": 0.014566506961396728,\n \"mc2\": 0.3752465265593006,\n\
\ \"mc2_stderr\": 0.013533322814931005\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.6795580110497238,\n \"acc_stderr\": 0.013115085457681709\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.04700530705079606,\n \
\ \"acc_stderr\": 0.005829898355937188\n }\n}\n```"
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-40b
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_04T15_00_33.518629
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-00-33.518629.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-00-33.518629.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- '**/details_harness|winogrande|5_2023-12-04T15-00-33.518629.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-00-33.518629.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_00_33.518629
path:
- results_2023-12-04T15-00-33.518629.parquet
- split: latest
path:
- results_2023-12-04T15-00-33.518629.parquet
---
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-40b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-40b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-40b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-40b) 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_AI-Sweden-Models__gpt-sw3-40b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:00:33.518629](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-40b/blob/main/results_2023-12-04T15-00-33.518629.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": 0.354049089015047,
"acc_stderr": 0.033417526940887884,
"acc_norm": 0.35741274788934346,
"acc_norm_stderr": 0.03422297037663694,
"mc1": 0.22276621787025705,
"mc1_stderr": 0.014566506961396728,
"mc2": 0.3752465265593006,
"mc2_stderr": 0.013533322814931005
},
"harness|arc:challenge|25": {
"acc": 0.40102389078498296,
"acc_stderr": 0.01432225579071987,
"acc_norm": 0.4300341296928328,
"acc_norm_stderr": 0.014467631559137993
},
"harness|hellaswag|10": {
"acc": 0.535749850627365,
"acc_stderr": 0.004977010670436551,
"acc_norm": 0.7236606253734316,
"acc_norm_stderr": 0.004462727543055892
},
"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": 0.4,
"acc_stderr": 0.04232073695151589,
"acc_norm": 0.4,
"acc_norm_stderr": 0.04232073695151589
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.03583496176361063,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.03583496176361063
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.3471698113207547,
"acc_stderr": 0.029300101705549655,
"acc_norm": 0.3471698113207547,
"acc_norm_stderr": 0.029300101705549655
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.3541666666666667,
"acc_stderr": 0.039994111357535424,
"acc_norm": 0.3541666666666667,
"acc_norm_stderr": 0.039994111357535424
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768079,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768079
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.44,
"acc_stderr": 0.0498887651569859,
"acc_norm": 0.44,
"acc_norm_stderr": 0.0498887651569859
},
"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": 0.28901734104046245,
"acc_stderr": 0.034564257450869995,
"acc_norm": 0.28901734104046245,
"acc_norm_stderr": 0.034564257450869995
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.1568627450980392,
"acc_stderr": 0.03618664819936245,
"acc_norm": 0.1568627450980392,
"acc_norm_stderr": 0.03618664819936245
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.4,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.4,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.31063829787234043,
"acc_stderr": 0.03025123757921317,
"acc_norm": 0.31063829787234043,
"acc_norm_stderr": 0.03025123757921317
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.21929824561403508,
"acc_stderr": 0.038924311065187546,
"acc_norm": 0.21929824561403508,
"acc_norm_stderr": 0.038924311065187546
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.3724137931034483,
"acc_stderr": 0.04028731532947559,
"acc_norm": 0.3724137931034483,
"acc_norm_stderr": 0.04028731532947559
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2619047619047619,
"acc_stderr": 0.022644212615525214,
"acc_norm": 0.2619047619047619,
"acc_norm_stderr": 0.022644212615525214
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.3412698412698413,
"acc_stderr": 0.04240799327574924,
"acc_norm": 0.3412698412698413,
"acc_norm_stderr": 0.04240799327574924
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542127,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542127
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.36129032258064514,
"acc_stderr": 0.02732754844795754,
"acc_norm": 0.36129032258064514,
"acc_norm_stderr": 0.02732754844795754
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.2561576354679803,
"acc_stderr": 0.0307127300709826,
"acc_norm": 0.2561576354679803,
"acc_norm_stderr": 0.0307127300709826
},
"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": 0.503030303030303,
"acc_stderr": 0.03904272341431857,
"acc_norm": 0.503030303030303,
"acc_norm_stderr": 0.03904272341431857
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.3434343434343434,
"acc_stderr": 0.03383201223244442,
"acc_norm": 0.3434343434343434,
"acc_norm_stderr": 0.03383201223244442
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.41450777202072536,
"acc_stderr": 0.035553003195576735,
"acc_norm": 0.41450777202072536,
"acc_norm_stderr": 0.035553003195576735
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.28717948717948716,
"acc_stderr": 0.02293992541853062,
"acc_norm": 0.28717948717948716,
"acc_norm_stderr": 0.02293992541853062
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.02646611753895992,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.02646611753895992
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.3067226890756303,
"acc_stderr": 0.02995382389188704,
"acc_norm": 0.3067226890756303,
"acc_norm_stderr": 0.02995382389188704
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.271523178807947,
"acc_stderr": 0.036313298039696525,
"acc_norm": 0.271523178807947,
"acc_norm_stderr": 0.036313298039696525
},
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
allanfear/Nicoleaudio | allanfear | 2023-12-04T15:27:51Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T15:03:53Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_deepseek-ai__deepseek-coder-1.3b-instruct | open-llm-leaderboard | 2023-12-04T15:06:11Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:05:24Z | ---
pretty_name: Evaluation run of deepseek-ai/deepseek-coder-1.3b-instruct
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct)\
\ 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_deepseek-ai__deepseek-coder-1.3b-instruct\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:02:34.832979](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-1.3b-instruct/blob/main/results_2023-12-04T15-02-34.832979.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\": 0.28454514557458804,\n\
\ \"acc_stderr\": 0.031975322223722284,\n \"acc_norm\": 0.2866992057773824,\n\
\ \"acc_norm_stderr\": 0.03278367939837994,\n \"mc1\": 0.2594859241126071,\n\
\ \"mc1_stderr\": 0.015345409485557989,\n \"mc2\": 0.44015243507625756,\n\
\ \"mc2_stderr\": 0.015219908561861553\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.257679180887372,\n \"acc_stderr\": 0.0127807705627684,\n\
\ \"acc_norm\": 0.2858361774744027,\n \"acc_norm_stderr\": 0.013203196088537369\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.33419637522405893,\n\
\ \"acc_stderr\": 0.004707447244200623,\n \"acc_norm\": 0.398725353515236,\n\
\ \"acc_norm_stderr\": 0.0048863535635718545\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\": 0.2962962962962963,\n\
\ \"acc_stderr\": 0.03944624162501117,\n \"acc_norm\": 0.2962962962962963,\n\
\ \"acc_norm_stderr\": 0.03944624162501117\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.19736842105263158,\n \"acc_stderr\": 0.03238981601699397,\n\
\ \"acc_norm\": 0.19736842105263158,\n \"acc_norm_stderr\": 0.03238981601699397\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.3018867924528302,\n \"acc_stderr\": 0.02825420034443865,\n\
\ \"acc_norm\": 0.3018867924528302,\n \"acc_norm_stderr\": 0.02825420034443865\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\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \"acc_norm\": 0.29,\n\
\ \"acc_norm_stderr\": 0.04560480215720683\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.042295258468165044,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.042295258468165044\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.24277456647398843,\n\
\ \"acc_stderr\": 0.0326926380614177,\n \"acc_norm\": 0.24277456647398843,\n\
\ \"acc_norm_stderr\": 0.0326926380614177\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.043364327079931785,\n\
\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.043364327079931785\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.31063829787234043,\n \"acc_stderr\": 0.03025123757921317,\n\
\ \"acc_norm\": 0.31063829787234043,\n \"acc_norm_stderr\": 0.03025123757921317\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
\ \"acc_stderr\": 0.040493392977481425,\n \"acc_norm\": 0.24561403508771928,\n\
\ \"acc_norm_stderr\": 0.040493392977481425\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.38620689655172413,\n \"acc_stderr\": 0.04057324734419035,\n\
\ \"acc_norm\": 0.38620689655172413,\n \"acc_norm_stderr\": 0.04057324734419035\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.25925925925925924,\n \"acc_stderr\": 0.0225698970749184,\n \"\
acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.0225698970749184\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.21428571428571427,\n\
\ \"acc_stderr\": 0.03670066451047181,\n \"acc_norm\": 0.21428571428571427,\n\
\ \"acc_norm_stderr\": 0.03670066451047181\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.0446196043338474\n },\n\
\ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.2806451612903226,\n\
\ \"acc_stderr\": 0.025560604721022884,\n \"acc_norm\": 0.2806451612903226,\n\
\ \"acc_norm_stderr\": 0.025560604721022884\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.27586206896551724,\n \"acc_stderr\": 0.031447125816782426,\n\
\ \"acc_norm\": 0.27586206896551724,\n \"acc_norm_stderr\": 0.031447125816782426\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|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_european_history|5\"\
: {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624336,\n\
\ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624336\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.35858585858585856,\n \"acc_stderr\": 0.03416903640391521,\n \"\
acc_norm\": 0.35858585858585856,\n \"acc_norm_stderr\": 0.03416903640391521\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.32642487046632124,\n \"acc_stderr\": 0.033840286211432945,\n\
\ \"acc_norm\": 0.32642487046632124,\n \"acc_norm_stderr\": 0.033840286211432945\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.2692307692307692,\n \"acc_stderr\": 0.022489389793654824,\n\
\ \"acc_norm\": 0.2692307692307692,\n \"acc_norm_stderr\": 0.022489389793654824\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.24444444444444444,\n \"acc_stderr\": 0.026202766534652148,\n \
\ \"acc_norm\": 0.24444444444444444,\n \"acc_norm_stderr\": 0.026202766534652148\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.2605042016806723,\n \"acc_stderr\": 0.028510251512341933,\n\
\ \"acc_norm\": 0.2605042016806723,\n \"acc_norm_stderr\": 0.028510251512341933\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\": 0.3174311926605505,\n\
\ \"acc_stderr\": 0.0199571521984605,\n \"acc_norm\": 0.3174311926605505,\n\
\ \"acc_norm_stderr\": 0.0199571521984605\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
: {\n \"acc\": 0.25462962962962965,\n \"acc_stderr\": 0.02971127586000536,\n\
\ \"acc_norm\": 0.25462962962962965,\n \"acc_norm_stderr\": 0.02971127586000536\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.2549019607843137,\n \"acc_stderr\": 0.030587591351604257,\n \"\
acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.030587591351604257\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.3080168776371308,\n \"acc_stderr\": 0.0300523893356057,\n \
\ \"acc_norm\": 0.3080168776371308,\n \"acc_norm_stderr\": 0.0300523893356057\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.14798206278026907,\n\
\ \"acc_stderr\": 0.023831557157613537,\n \"acc_norm\": 0.14798206278026907,\n\
\ \"acc_norm_stderr\": 0.023831557157613537\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.3511450381679389,\n \"acc_stderr\": 0.04186445163013751,\n\
\ \"acc_norm\": 0.3511450381679389,\n \"acc_norm_stderr\": 0.04186445163013751\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\": 0.2883435582822086,\n \"acc_stderr\": 0.035590395316173425,\n\
\ \"acc_norm\": 0.2883435582822086,\n \"acc_norm_stderr\": 0.035590395316173425\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.32142857142857145,\n\
\ \"acc_stderr\": 0.04432804055291519,\n \"acc_norm\": 0.32142857142857145,\n\
\ \"acc_norm_stderr\": 0.04432804055291519\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.3786407766990291,\n \"acc_stderr\": 0.04802694698258973,\n\
\ \"acc_norm\": 0.3786407766990291,\n \"acc_norm_stderr\": 0.04802694698258973\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3333333333333333,\n\
\ \"acc_stderr\": 0.03088273697413866,\n \"acc_norm\": 0.3333333333333333,\n\
\ \"acc_norm_stderr\": 0.03088273697413866\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.29246487867177523,\n\
\ \"acc_stderr\": 0.01626700068459864,\n \"acc_norm\": 0.29246487867177523,\n\
\ \"acc_norm_stderr\": 0.01626700068459864\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.28034682080924855,\n \"acc_stderr\": 0.024182427496577605,\n\
\ \"acc_norm\": 0.28034682080924855,\n \"acc_norm_stderr\": 0.024182427496577605\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\": 0.30392156862745096,\n \"acc_stderr\": 0.026336613469046637,\n\
\ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.026336613469046637\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.29260450160771706,\n\
\ \"acc_stderr\": 0.025839898334877983,\n \"acc_norm\": 0.29260450160771706,\n\
\ \"acc_norm_stderr\": 0.025839898334877983\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.28703703703703703,\n \"acc_stderr\": 0.02517104191530968,\n\
\ \"acc_norm\": 0.28703703703703703,\n \"acc_norm_stderr\": 0.02517104191530968\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.24468085106382978,\n \"acc_stderr\": 0.025645553622266722,\n \
\ \"acc_norm\": 0.24468085106382978,\n \"acc_norm_stderr\": 0.025645553622266722\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2900912646675359,\n\
\ \"acc_stderr\": 0.011590375554733095,\n \"acc_norm\": 0.2900912646675359,\n\
\ \"acc_norm_stderr\": 0.011590375554733095\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.41544117647058826,\n \"acc_stderr\": 0.029935342707877746,\n\
\ \"acc_norm\": 0.41544117647058826,\n \"acc_norm_stderr\": 0.029935342707877746\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.24183006535947713,\n \"acc_stderr\": 0.017322789207784326,\n \
\ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.017322789207784326\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.33636363636363636,\n\
\ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.33636363636363636,\n\
\ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.2530612244897959,\n \"acc_stderr\": 0.027833023871399694,\n\
\ \"acc_norm\": 0.2530612244897959,\n \"acc_norm_stderr\": 0.027833023871399694\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.3383084577114428,\n\
\ \"acc_stderr\": 0.03345563070339193,\n \"acc_norm\": 0.3383084577114428,\n\
\ \"acc_norm_stderr\": 0.03345563070339193\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.25301204819277107,\n\
\ \"acc_stderr\": 0.03384429155233137,\n \"acc_norm\": 0.25301204819277107,\n\
\ \"acc_norm_stderr\": 0.03384429155233137\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.21637426900584794,\n \"acc_stderr\": 0.03158149539338734,\n\
\ \"acc_norm\": 0.21637426900584794,\n \"acc_norm_stderr\": 0.03158149539338734\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2594859241126071,\n\
\ \"mc1_stderr\": 0.015345409485557989,\n \"mc2\": 0.44015243507625756,\n\
\ \"mc2_stderr\": 0.015219908561861553\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5240726124704025,\n \"acc_stderr\": 0.01403618966539513\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.01061410159211524,\n \
\ \"acc_stderr\": 0.002822713322387704\n }\n}\n```"
repo_url: https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct
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_04T15_02_34.832979
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-02-34.832979.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-02-34.832979.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- '**/details_harness|winogrande|5_2023-12-04T15-02-34.832979.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-02-34.832979.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_02_34.832979
path:
- results_2023-12-04T15-02-34.832979.parquet
- split: latest
path:
- results_2023-12-04T15-02-34.832979.parquet
---
# Dataset Card for Evaluation run of deepseek-ai/deepseek-coder-1.3b-instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct) 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_deepseek-ai__deepseek-coder-1.3b-instruct",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:02:34.832979](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-1.3b-instruct/blob/main/results_2023-12-04T15-02-34.832979.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": 0.28454514557458804,
"acc_stderr": 0.031975322223722284,
"acc_norm": 0.2866992057773824,
"acc_norm_stderr": 0.03278367939837994,
"mc1": 0.2594859241126071,
"mc1_stderr": 0.015345409485557989,
"mc2": 0.44015243507625756,
"mc2_stderr": 0.015219908561861553
},
"harness|arc:challenge|25": {
"acc": 0.257679180887372,
"acc_stderr": 0.0127807705627684,
"acc_norm": 0.2858361774744027,
"acc_norm_stderr": 0.013203196088537369
},
"harness|hellaswag|10": {
"acc": 0.33419637522405893,
"acc_stderr": 0.004707447244200623,
"acc_norm": 0.398725353515236,
"acc_norm_stderr": 0.0048863535635718545
},
"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": 0.2962962962962963,
"acc_stderr": 0.03944624162501117,
"acc_norm": 0.2962962962962963,
"acc_norm_stderr": 0.03944624162501117
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.19736842105263158,
"acc_stderr": 0.03238981601699397,
"acc_norm": 0.19736842105263158,
"acc_norm_stderr": 0.03238981601699397
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.3018867924528302,
"acc_stderr": 0.02825420034443865,
"acc_norm": 0.3018867924528302,
"acc_norm_stderr": 0.02825420034443865
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.2569444444444444,
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"acc_norm": 0.2569444444444444,
"acc_norm_stderr": 0.03653946969442099
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.25,
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"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.29,
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"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720683
},
"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm": 0.23,
"acc_norm_stderr": 0.042295258468165044
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.24277456647398843,
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"acc_norm": 0.24277456647398843,
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},
"harness|hendrycksTest-college_physics|5": {
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"acc_norm": 0.2549019607843137,
"acc_norm_stderr": 0.043364327079931785
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.37,
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"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.31063829787234043,
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"acc_norm": 0.31063829787234043,
"acc_norm_stderr": 0.03025123757921317
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.040493392977481425,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.040493392977481425
},
"harness|hendrycksTest-electrical_engineering|5": {
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"acc_norm": 0.38620689655172413,
"acc_norm_stderr": 0.04057324734419035
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc_norm": 0.25925925925925924,
"acc_norm_stderr": 0.0225698970749184
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"harness|hendrycksTest-formal_logic|5": {
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"acc_norm": 0.21428571428571427,
"acc_norm_stderr": 0.03670066451047181
},
"harness|hendrycksTest-global_facts|5": {
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"acc_norm": 0.27,
"acc_norm_stderr": 0.0446196043338474
},
"harness|hendrycksTest-high_school_biology|5": {
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"acc_norm": 0.2806451612903226,
"acc_norm_stderr": 0.025560604721022884
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.27586206896551724,
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"acc_norm": 0.27586206896551724,
"acc_norm_stderr": 0.031447125816782426
},
"harness|hendrycksTest-high_school_computer_science|5": {
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"acc_norm": 0.33,
"acc_norm_stderr": 0.047258156262526045
},
"harness|hendrycksTest-high_school_european_history|5": {
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"acc_norm": 0.2909090909090909,
"acc_norm_stderr": 0.03546563019624336
},
"harness|hendrycksTest-high_school_geography|5": {
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"acc_norm": 0.35858585858585856,
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},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.32642487046632124,
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"acc_norm": 0.32642487046632124,
"acc_norm_stderr": 0.033840286211432945
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.2692307692307692,
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"acc_norm": 0.2692307692307692,
"acc_norm_stderr": 0.022489389793654824
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.24444444444444444,
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"acc_norm": 0.24444444444444444,
"acc_norm_stderr": 0.026202766534652148
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.2605042016806723,
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"acc_norm": 0.2605042016806723,
"acc_norm_stderr": 0.028510251512341933
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.304635761589404,
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"acc_norm": 0.304635761589404,
"acc_norm_stderr": 0.03757949922943343
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.3174311926605505,
"acc_stderr": 0.0199571521984605,
"acc_norm": 0.3174311926605505,
"acc_norm_stderr": 0.0199571521984605
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.25462962962962965,
"acc_stderr": 0.02971127586000536,
"acc_norm": 0.25462962962962965,
"acc_norm_stderr": 0.02971127586000536
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.2549019607843137,
"acc_stderr": 0.030587591351604257,
"acc_norm": 0.2549019607843137,
"acc_norm_stderr": 0.030587591351604257
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.3080168776371308,
"acc_stderr": 0.0300523893356057,
"acc_norm": 0.3080168776371308,
"acc_norm_stderr": 0.0300523893356057
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.14798206278026907,
"acc_stderr": 0.023831557157613537,
"acc_norm": 0.14798206278026907,
"acc_norm_stderr": 0.023831557157613537
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.3511450381679389,
"acc_stderr": 0.04186445163013751,
"acc_norm": 0.3511450381679389,
"acc_norm_stderr": 0.04186445163013751
},
"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": 0.2883435582822086,
"acc_stderr": 0.035590395316173425,
"acc_norm": 0.2883435582822086,
"acc_norm_stderr": 0.035590395316173425
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.32142857142857145,
"acc_stderr": 0.04432804055291519,
"acc_norm": 0.32142857142857145,
"acc_norm_stderr": 0.04432804055291519
},
"harness|hendrycksTest-management|5": {
"acc": 0.3786407766990291,
"acc_stderr": 0.04802694698258973,
"acc_norm": 0.3786407766990291,
"acc_norm_stderr": 0.04802694698258973
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.03088273697413866,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.03088273697413866
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.21,
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"acc_norm": 0.21,
"acc_norm_stderr": 0.040936018074033256
},
"harness|hendrycksTest-miscellaneous|5": {
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"acc_norm": 0.29246487867177523,
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},
"harness|hendrycksTest-moral_disputes|5": {
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"acc_norm_stderr": 0.024182427496577605
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.27262569832402234,
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"acc_norm": 0.27262569832402234,
"acc_norm_stderr": 0.014893391735249588
},
"harness|hendrycksTest-nutrition|5": {
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"acc_norm": 0.30392156862745096,
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},
"harness|hendrycksTest-philosophy|5": {
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"acc_norm": 0.29260450160771706,
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"harness|hendrycksTest-prehistory|5": {
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"acc_norm_stderr": 0.02517104191530968
},
"harness|hendrycksTest-professional_accounting|5": {
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"acc_norm": 0.24468085106382978,
"acc_norm_stderr": 0.025645553622266722
},
"harness|hendrycksTest-professional_law|5": {
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"acc_stderr": 0.011590375554733095,
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},
"harness|hendrycksTest-professional_medicine|5": {
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},
"harness|hendrycksTest-public_relations|5": {
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"acc_norm": 0.33636363636363636,
"acc_norm_stderr": 0.04525393596302506
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.2530612244897959,
"acc_stderr": 0.027833023871399694,
"acc_norm": 0.2530612244897959,
"acc_norm_stderr": 0.027833023871399694
},
"harness|hendrycksTest-sociology|5": {
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},
"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-virology|5": {
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"harness|hendrycksTest-world_religions|5": {
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},
"harness|truthfulqa:mc|0": {
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"mc1_stderr": 0.015345409485557989,
"mc2": 0.44015243507625756,
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},
"harness|winogrande|5": {
"acc": 0.5240726124704025,
"acc_stderr": 0.01403618966539513
},
"harness|gsm8k|5": {
"acc": 0.01061410159211524,
"acc_stderr": 0.002822713322387704
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
blanchon/RSSCN7 | blanchon | 2023-12-04T15:20:40Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"scene-classification",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T15:18:14Z | ---
license:
- unknown
task_categories:
- image-classification
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- scene-classification
pretty_name: RSSCN7
size_categories:
- 1K<n<10K
---
# RSSCN7

## Description
The RSSCN7 dataset is designed for scene classification tasks and provides a collection of high-resolution RGB images. This dataset comprises a total of 2,800 images, each with a resolution of 400x400 pixels. The images are extracted from [Google Earth](https://earth.google.com/web/) and cover a range of diverse scenes. RSSCN7 includes seven distinct scene classes, with 400 images per class.
## Details
### Statistics
- Total Number of Images: 2,800
- Image Resolution: 400x400 pixels
- Scene Classes: 7
- Dataset Size: 0.36GB
## Citation
If you use the RSSCN7 dataset in your research, please consider citing the following publication or the dataset's official website:
```bibtex
@article{7272047,
title = {Deep Learning Based Feature Selection for Remote Sensing Scene Classification},
author = {Zou, Qin and Ni, Lihao and Zhang, Tong and Wang, Qian},
year = 2015,
journal = {IEEE Geoscience and Remote Sensing Letters},
volume = 12,
number = 11,
pages = {2321--2325},
doi = {10.1109/LGRS.2015.2475299}
}
```
- Paper with code: https://paperswithcode.com/dataset/rsscn7
- Repo: https://github.com/palewithout/RSSCN7
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|
sordonia/mmlu-qa-fs-flat | sordonia | 2023-12-04T15:21:15Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:19:42Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: context
dtype: string
- name: docno
dtype: string
- name: icl_examples
dtype: 'null'
- name: author_instr
dtype: string
- name: split
dtype: string
- name: source
dtype: string
- name: target
dtype: string
- name: task_name
dtype: string
- name: task_source
dtype: string
splits:
- name: train
num_bytes: 1188039149.0
num_examples: 945922
download_size: 675786242
dataset_size: 1188039149.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mmlu-qa-fs-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
mt0rm0/movie_descriptors_small | mt0rm0 | 2023-12-04T16:01:45Z | 0 | 0 | [
"task_categories:sentence-similarity",
"size_categories:10K<n<100K",
"language:en",
"license:cc0-1.0",
"movies",
"embeddings",
"semantic search",
"films",
"hpi",
"workshop",
"region:us"
]
| [
"sentence-similarity"
]
| 2023-12-04T15:25:21Z | ---
license: cc0-1.0
task_categories:
- sentence-similarity
language:
- en
pretty_name: '"Movie descriptors for Semantic Search"'
size_categories:
- 10K<n<100K
tags:
- movies
- embeddings
- semantic search
- films
- hpi
- workshop
---
# Dataset Card
This dataset is a subset from Kaggle's The Movie Dataset that contains only name, release year and overview for some movies from the original dataset.
It is intended as a toy dataset for learning about embeddings in a workshop from the AI Service Center Berlin-Brandenburg at the Hasso Plattner Institute.
This dataset has a bigger version [here](https://huggingface.co/datasets/mt0rm0/movie_descriptors).
## Dataset Details
### Dataset Description
The dataset has 28655 rows and 3 columns:
- 'name': includes the title of the movies
- 'release_year': indicates the year of release
- 'overview': provides a brief description of each movie, used for advertisement.
The source dataset was filtered for keeping only movies with complete metadata in the required fields, a vote average of at least 6, with more than 100 votes and with a revenue over 2 Million Dollars.
**Curated by:** [Mario Tormo Romero](https://huggingface.co/mt0rm0)
**Language(s) (NLP):** English
**License:** cc0-1.0
### Dataset Sources
This Dataset is a subset of Kaggle's [The Movie Dataset](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset).
We have only used the <kbd>movies_metadata.csv</kbd> file and extracted some features (see Dataset Description) and dropped the rows that didn't were complete.
The original Dataset has a cc0-1.0 License and we have maintained it.
## Uses
This is a toy dataset created for pegagogical purposes, and is used in the **Working with embeddings** Workshop created and organized by the [AI Service Center Berlin-Brandenburg](https://hpi.de/kisz/) at the [Hasso Plattner Institute](https://hpi.de/).
## Dataset Creation
### Curation Rationale
We want to provide with this dataset a fast way of obtaining the required data for our workshops without having to download huge datasets with just way too much information.
### Source Data
Our source is Kaggle's The Movie Dataset, so the information comes from the MovieLens Dataset. The dataset consists of movies released on or before July 2017.
#### Data Collection and Processing
The data was downloaded from [Kaggle](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset) as a zip file. The file <kbd>movies_metadata.csv</kbd> was then extracted.
The data was processed with the following code:
```python
import pandas as pd
# load the csv file
df = pd.read_csv("movies_metadata.csv", low_memory=False)
# filter movies according to:
# - vote average of at least 6
# - more than 100 votes
# - revenue over 2M$
df = df.loc[(df.vote_average >= 6)&(df.vote_count > 100)&(df.revenue > 2e6)]
# select the required columns, drop rows with missing values and
# reset the index
df = df.loc[:, ['title', 'release_date', 'overview']]
df = df.dropna(axis=0).reset_index(drop=True)
# make a new column with the release year
df.loc[:, 'release_year'] = pd.to_datetime(df.release_date).dt.year
# select the columns in the desired order
df = df.loc[:, ['title', 'release_year', 'overview']]
# save the data to parquet
df.to_parquet('descriptors_data.parquet')
```
#### Who are the source data producers?
The source dataset is an ensemble of data collected by [Rounak Banik](https://www.kaggle.com/rounakbanik) from TMDB and GroupLens.
In particular, the movies metadata has been collected from the TMDB Open API, but the source dataset is not endorsed or certified by TMDb. | [
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|
blanchon/UCM-Caption | blanchon | 2023-12-04T15:26:06Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"land-use-classification",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T15:25:48Z | ---
license:
- unknown
task_categories:
- image-classification
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- land-use-classification
pretty_name: UCM-Captions
size_categories:
- 10K<n<100K
---
# UC Merced (UCM) Captions

## Description
The UC Merced (UCM) Captions dataset is derived from the [UCM land use classification dataset](http://weegee.vision.ucmerced.edu/datasets/landuse.html) and is intended for image captioning tasks. This dataset consists of 2,100 RGB images, each with a resolution of 256x256 pixels. The images depict urban locations across the United States and are sourced from the [USGS National Map Urban Area Imagery collection](https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map). Each image in the dataset is annotated with a set of five descriptive captions.
## Details
### Statistics
- Total Number of Images: 2,100
- Image Resolution: 256x256 pixels
- Captions per Image: 5
- Dataset Size: 0.4GB
## Citation
If you use the UC Merced (UCM) Captions dataset in your research, please consider citing the following publication or the dataset's official website:
```bibtex
?
``` | [
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|
ziq/ai-generated-text-classification | ziq | 2023-12-04T15:58:27Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:29:35Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: prompt_id
dtype: int64
- name: text
dtype: string
- name: generated
dtype: int64
splits:
- name: train
num_bytes: 4411048
num_examples: 1378
- name: test
num_bytes: 133
num_examples: 3
download_size: 2360284
dataset_size: 4411181
---
# Dataset Card for "ai-generated-text-classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
blanchon/WHU-RS19 | blanchon | 2023-12-04T15:31:32Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"scene-classification",
"region:us"
]
| [
"image-classification"
]
| 2023-12-04T15:31:11Z | ---
license:
- unknown
task_categories:
- image-classification
language:
- en
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- scene-classification
pretty_name: WHU-RS19
size_categories:
- 1K<n<10K
---
# WHU-RS19

## Description
The WHU-RS19 dataset is a scene classification dataset that consists of 1,005 high-resolution RGB images. Each image has a resolution of 600x600 pixels and represents various scenes. The dataset was created by extracting images from [Google Earth](https://earth.google.com/web/) and includes a total of 19 different scene classes, with approximately 50 images per class. It serves as a valuable resource for scene classification and related remote sensing tasks.
## Details
### Statistics
- Total Number of Images: 1,005
- Image Resolution: 600x600 pixels
- Scene Classes: 19
- Dataset Size: Approximately 0.11GB
[Official WHU-RS19 Dataset Website](https://captain-whu.github.io/BED4RS/#)
[Official download page](https://github.com/CAPTAIN-WHU/BED4RS/raw/main/datasets/WHU-RS19.zip)
## Citation
If you use the UC Merced (UCM) Captions dataset in your research, please consider citing the following publication or the dataset's official website:
```bibtex
@InProceedings{Xia2010WHURS19,
title={Structural high-resolution satellite image indexing},
author={Gui-Song Xia and Wen Yang and Julie Delon and Yann Gousseau and Hong Sun and Henri MaÎtre},
journal={ Symposium: 100 Years ISPRS - Advancing Remote Sensing Science},
year={2010},
address={Vienna, Austria},
}
@Article{Dai2011WHURS19,
title={Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation},
author={Dengxin Dai and Wen Yang},
journal={IEEE Transactions on Geoscience and Remote Sensing},
year={2011},
volume={8},
number={1},
pages={173-176}
}
```
- Paper with code: https://paperswithcode.com/dataset/whu-rs19 | [
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|
allanfear/nicoleok | allanfear | 2023-12-04T15:42:42Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T15:41:58Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan | open-llm-leaderboard | 2023-12-04T15:45:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:44:49Z | ---
pretty_name: Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Korabbit/Llama-2-7b-chat-hf-afr-200step-flan](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan)\
\ 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_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:41:52.746166](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan/blob/main/results_2023-12-04T15-41-52.746166.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\": 0.4851995546077363,\n\
\ \"acc_stderr\": 0.034286883868394735,\n \"acc_norm\": 0.4898964195341055,\n\
\ \"acc_norm_stderr\": 0.03504171929947504,\n \"mc1\": 0.29865361077111385,\n\
\ \"mc1_stderr\": 0.016021570613768542,\n \"mc2\": 0.45466126872222284,\n\
\ \"mc2_stderr\": 0.015592630900447884\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.492320819112628,\n \"acc_stderr\": 0.014609667440892574,\n\
\ \"acc_norm\": 0.5247440273037542,\n \"acc_norm_stderr\": 0.01459348769493774\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5925114519020116,\n\
\ \"acc_stderr\": 0.004903628887264536,\n \"acc_norm\": 0.7802230631348337,\n\
\ \"acc_norm_stderr\": 0.0041324914757278775\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\": 0.4222222222222222,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.46710526315789475,\n \"acc_stderr\": 0.040601270352363966,\n\
\ \"acc_norm\": 0.46710526315789475,\n \"acc_norm_stderr\": 0.040601270352363966\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.5433962264150943,\n \"acc_stderr\": 0.03065674869673943,\n\
\ \"acc_norm\": 0.5433962264150943,\n \"acc_norm_stderr\": 0.03065674869673943\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5208333333333334,\n\
\ \"acc_stderr\": 0.041775789507399935,\n \"acc_norm\": 0.5208333333333334,\n\
\ \"acc_norm_stderr\": 0.041775789507399935\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.4,\n\
\ \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\
\ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4127659574468085,\n \"acc_stderr\": 0.03218471141400351,\n\
\ \"acc_norm\": 0.4127659574468085,\n \"acc_norm_stderr\": 0.03218471141400351\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3684210526315789,\n\
\ \"acc_stderr\": 0.04537815354939392,\n \"acc_norm\": 0.3684210526315789,\n\
\ \"acc_norm_stderr\": 0.04537815354939392\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.29894179894179895,\n \"acc_stderr\": 0.023577604791655805,\n \"\
acc_norm\": 0.29894179894179895,\n \"acc_norm_stderr\": 0.023577604791655805\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.24603174603174602,\n\
\ \"acc_stderr\": 0.03852273364924314,\n \"acc_norm\": 0.24603174603174602,\n\
\ \"acc_norm_stderr\": 0.03852273364924314\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.5290322580645161,\n\
\ \"acc_stderr\": 0.028396016402761005,\n \"acc_norm\": 0.5290322580645161,\n\
\ \"acc_norm_stderr\": 0.028396016402761005\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.3694581280788177,\n \"acc_stderr\": 0.033959703819985726,\n\
\ \"acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.033959703819985726\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\
: {\n \"acc\": 0.5878787878787879,\n \"acc_stderr\": 0.03843566993588717,\n\
\ \"acc_norm\": 0.5878787878787879,\n \"acc_norm_stderr\": 0.03843566993588717\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.6060606060606061,\n \"acc_stderr\": 0.03481285338232963,\n \"\
acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.03481285338232963\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7253886010362695,\n \"acc_stderr\": 0.03221024508041153,\n\
\ \"acc_norm\": 0.7253886010362695,\n \"acc_norm_stderr\": 0.03221024508041153\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604234,\n \
\ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604234\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42016806722689076,\n \"acc_stderr\": 0.03206183783236152,\n\
\ \"acc_norm\": 0.42016806722689076,\n \"acc_norm_stderr\": 0.03206183783236152\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2847682119205298,\n \"acc_stderr\": 0.036848815213890225,\n \"\
acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.036848815213890225\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.6770642201834862,\n \"acc_stderr\": 0.02004811592341532,\n \"\
acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.02004811592341532\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3287037037037037,\n \"acc_stderr\": 0.032036140846700596,\n \"\
acc_norm\": 0.3287037037037037,\n \"acc_norm_stderr\": 0.032036140846700596\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.6617647058823529,\n \"acc_stderr\": 0.033205746129454324,\n \"\
acc_norm\": 0.6617647058823529,\n \"acc_norm_stderr\": 0.033205746129454324\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6624472573839663,\n \"acc_stderr\": 0.030781549102026226,\n \
\ \"acc_norm\": 0.6624472573839663,\n \"acc_norm_stderr\": 0.030781549102026226\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
\ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
\ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.04348208051644858,\n\
\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.04348208051644858\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6363636363636364,\n \"acc_stderr\": 0.043913262867240704,\n \"\
acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.043913262867240704\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6018518518518519,\n\
\ \"acc_stderr\": 0.04732332615978813,\n \"acc_norm\": 0.6018518518518519,\n\
\ \"acc_norm_stderr\": 0.04732332615978813\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.5644171779141104,\n \"acc_stderr\": 0.03895632464138937,\n\
\ \"acc_norm\": 0.5644171779141104,\n \"acc_norm_stderr\": 0.03895632464138937\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7222222222222222,\n\
\ \"acc_stderr\": 0.02934311479809446,\n \"acc_norm\": 0.7222222222222222,\n\
\ \"acc_norm_stderr\": 0.02934311479809446\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5173410404624278,\n \"acc_stderr\": 0.02690290045866664,\n\
\ \"acc_norm\": 0.5173410404624278,\n \"acc_norm_stderr\": 0.02690290045866664\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.22681564245810057,\n\
\ \"acc_stderr\": 0.014005843570897899,\n \"acc_norm\": 0.22681564245810057,\n\
\ \"acc_norm_stderr\": 0.014005843570897899\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5130718954248366,\n \"acc_stderr\": 0.028620130800700246,\n\
\ \"acc_norm\": 0.5130718954248366,\n \"acc_norm_stderr\": 0.028620130800700246\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5659163987138264,\n\
\ \"acc_stderr\": 0.02815023224453559,\n \"acc_norm\": 0.5659163987138264,\n\
\ \"acc_norm_stderr\": 0.02815023224453559\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5679012345679012,\n \"acc_stderr\": 0.02756301097160668,\n\
\ \"acc_norm\": 0.5679012345679012,\n \"acc_norm_stderr\": 0.02756301097160668\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.3723404255319149,\n \"acc_stderr\": 0.028838921471251458,\n \
\ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.028838921471251458\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3494132985658409,\n\
\ \"acc_stderr\": 0.012177306252786688,\n \"acc_norm\": 0.3494132985658409,\n\
\ \"acc_norm_stderr\": 0.012177306252786688\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.45588235294117646,\n \"acc_stderr\": 0.03025437257397668,\n\
\ \"acc_norm\": 0.45588235294117646,\n \"acc_norm_stderr\": 0.03025437257397668\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.4918300653594771,\n \"acc_stderr\": 0.020225134343057265,\n \
\ \"acc_norm\": 0.4918300653594771,\n \"acc_norm_stderr\": 0.020225134343057265\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5102040816326531,\n \"acc_stderr\": 0.03200255347893782,\n\
\ \"acc_norm\": 0.5102040816326531,\n \"acc_norm_stderr\": 0.03200255347893782\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.42168674698795183,\n\
\ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\
\ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.03446296217088427,\n\
\ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.03446296217088427\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29865361077111385,\n\
\ \"mc1_stderr\": 0.016021570613768542,\n \"mc2\": 0.45466126872222284,\n\
\ \"mc2_stderr\": 0.015592630900447884\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7269139700078927,\n \"acc_stderr\": 0.012522020105869456\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1865049279757392,\n \
\ \"acc_stderr\": 0.010729140039689897\n }\n}\n```"
repo_url: https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
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_04T15_41_52.746166
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-41-52.746166.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-41-52.746166.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- '**/details_harness|winogrande|5_2023-12-04T15-41-52.746166.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-41-52.746166.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_41_52.746166
path:
- results_2023-12-04T15-41-52.746166.parquet
- split: latest
path:
- results_2023-12-04T15-41-52.746166.parquet
---
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Korabbit/Llama-2-7b-chat-hf-afr-200step-flan](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan) 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_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:41:52.746166](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan/blob/main/results_2023-12-04T15-41-52.746166.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": 0.4851995546077363,
"acc_stderr": 0.034286883868394735,
"acc_norm": 0.4898964195341055,
"acc_norm_stderr": 0.03504171929947504,
"mc1": 0.29865361077111385,
"mc1_stderr": 0.016021570613768542,
"mc2": 0.45466126872222284,
"mc2_stderr": 0.015592630900447884
},
"harness|arc:challenge|25": {
"acc": 0.492320819112628,
"acc_stderr": 0.014609667440892574,
"acc_norm": 0.5247440273037542,
"acc_norm_stderr": 0.01459348769493774
},
"harness|hellaswag|10": {
"acc": 0.5925114519020116,
"acc_stderr": 0.004903628887264536,
"acc_norm": 0.7802230631348337,
"acc_norm_stderr": 0.0041324914757278775
},
"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": 0.4222222222222222,
"acc_stderr": 0.04266763404099582,
"acc_norm": 0.4222222222222222,
"acc_norm_stderr": 0.04266763404099582
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.46710526315789475,
"acc_stderr": 0.040601270352363966,
"acc_norm": 0.46710526315789475,
"acc_norm_stderr": 0.040601270352363966
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.53,
"acc_norm_stderr": 0.050161355804659205
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.5433962264150943,
"acc_stderr": 0.03065674869673943,
"acc_norm": 0.5433962264150943,
"acc_norm_stderr": 0.03065674869673943
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.5208333333333334,
"acc_stderr": 0.041775789507399935,
"acc_norm": 0.5208333333333334,
"acc_norm_stderr": 0.041775789507399935
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542127,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542127
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.4,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.4,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939098,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939098
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.4046242774566474,
"acc_stderr": 0.03742461193887248,
"acc_norm": 0.4046242774566474,
"acc_norm_stderr": 0.03742461193887248
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.041583075330832865,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.041583075330832865
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.57,
"acc_stderr": 0.04975698519562428,
"acc_norm": 0.57,
"acc_norm_stderr": 0.04975698519562428
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.4127659574468085,
"acc_stderr": 0.03218471141400351,
"acc_norm": 0.4127659574468085,
"acc_norm_stderr": 0.03218471141400351
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.3684210526315789,
"acc_stderr": 0.04537815354939392,
"acc_norm": 0.3684210526315789,
"acc_norm_stderr": 0.04537815354939392
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5172413793103449,
"acc_stderr": 0.04164188720169375,
"acc_norm": 0.5172413793103449,
"acc_norm_stderr": 0.04164188720169375
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.29894179894179895,
"acc_stderr": 0.023577604791655805,
"acc_norm": 0.29894179894179895,
"acc_norm_stderr": 0.023577604791655805
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.24603174603174602,
"acc_stderr": 0.03852273364924314,
"acc_norm": 0.24603174603174602,
"acc_norm_stderr": 0.03852273364924314
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.37,
"acc_stderr": 0.048523658709391,
"acc_norm": 0.37,
"acc_norm_stderr": 0.048523658709391
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.5290322580645161,
"acc_stderr": 0.028396016402761005,
"acc_norm": 0.5290322580645161,
"acc_norm_stderr": 0.028396016402761005
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.3694581280788177,
"acc_stderr": 0.033959703819985726,
"acc_norm": 0.3694581280788177,
"acc_norm_stderr": 0.033959703819985726
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.41,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.41,
"acc_norm_stderr": 0.04943110704237102
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.5878787878787879,
"acc_stderr": 0.03843566993588717,
"acc_norm": 0.5878787878787879,
"acc_norm_stderr": 0.03843566993588717
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.6060606060606061,
"acc_stderr": 0.03481285338232963,
"acc_norm": 0.6060606060606061,
"acc_norm_stderr": 0.03481285338232963
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.7253886010362695,
"acc_stderr": 0.03221024508041153,
"acc_norm": 0.7253886010362695,
"acc_norm_stderr": 0.03221024508041153
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.4230769230769231,
"acc_stderr": 0.02504919787604234,
"acc_norm": 0.4230769230769231,
"acc_norm_stderr": 0.02504919787604234
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.26296296296296295,
"acc_stderr": 0.02684205787383371,
"acc_norm": 0.26296296296296295,
"acc_norm_stderr": 0.02684205787383371
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.42016806722689076,
"acc_stderr": 0.03206183783236152,
"acc_norm": 0.42016806722689076,
"acc_norm_stderr": 0.03206183783236152
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2847682119205298,
"acc_stderr": 0.036848815213890225,
"acc_norm": 0.2847682119205298,
"acc_norm_stderr": 0.036848815213890225
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.6770642201834862,
"acc_stderr": 0.02004811592341532,
"acc_norm": 0.6770642201834862,
"acc_norm_stderr": 0.02004811592341532
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.3287037037037037,
"acc_stderr": 0.032036140846700596,
"acc_norm": 0.3287037037037037,
"acc_norm_stderr": 0.032036140846700596
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.6617647058823529,
"acc_stderr": 0.033205746129454324,
"acc_norm": 0.6617647058823529,
"acc_norm_stderr": 0.033205746129454324
},
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
yardeny/t5_small_test_set_context_len_64 | yardeny | 2023-12-04T15:45:21Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:45:18Z | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 419840
num_examples: 1280
download_size: 171561
dataset_size: 419840
---
# Dataset Card for "t5_small_test_set_context_len_64"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Rayan2023/audio1 | Rayan2023 | 2023-12-04T16:02:26Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-04T15:51:27Z | ---
license: openrail
---
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|
mmaak/medical_meadow_medqa_data | mmaak | 2023-12-04T15:52:26Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:52:23Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 10499824
num_examples: 10178
download_size: 5460295
dataset_size: 10499824
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
open-llm-leaderboard/details_Intel__neural-chat-7b-v3-2 | open-llm-leaderboard | 2023-12-04T15:57:06Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T15:56:23Z | ---
pretty_name: Evaluation run of Intel/neural-chat-7b-v3-2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2)\
\ 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_Intel__neural-chat-7b-v3-2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:53:32.280845](https://huggingface.co/datasets/open-llm-leaderboard/details_Intel__neural-chat-7b-v3-2/blob/main/results_2023-12-04T15-53-32.280845.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\": 0.6369210872251465,\n\
\ \"acc_stderr\": 0.0326377312636888,\n \"acc_norm\": 0.6396211867921318,\n\
\ \"acc_norm_stderr\": 0.03329595828089076,\n \"mc1\": 0.43818849449204406,\n\
\ \"mc1_stderr\": 0.017369236164404445,\n \"mc2\": 0.596824313919398,\n\
\ \"mc2_stderr\": 0.015111088211554574\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.636518771331058,\n \"acc_stderr\": 0.014056207319068283,\n\
\ \"acc_norm\": 0.6749146757679181,\n \"acc_norm_stderr\": 0.013688147309729124\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6414060944035053,\n\
\ \"acc_stderr\": 0.004786075107572188,\n \"acc_norm\": 0.8391754630551683,\n\
\ \"acc_norm_stderr\": 0.0036661823284423437\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.0446196043338474\n },\n\
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
\ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\
\ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119668,\n\
\ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119668\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\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\
\ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7083333333333334,\n\
\ \"acc_stderr\": 0.038009680605548594,\n \"acc_norm\": 0.7083333333333334,\n\
\ \"acc_norm_stderr\": 0.038009680605548594\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\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\"\
: 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\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\": 0.6473988439306358,\n\
\ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\
\ \"acc_norm_stderr\": 0.036430371689585475\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\": 0.04461960433384739,\n \"acc_norm\": 0.73,\n\
\ \"acc_norm_stderr\": 0.04461960433384739\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146268,\n\
\ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146268\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\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\": 0.5379310344827586,\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\"\
: 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137602,\n \"\
acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137602\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\": 0.37,\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\": 0.7774193548387097,\n\
\ \"acc_stderr\": 0.02366421667164251,\n \"acc_norm\": 0.7774193548387097,\n\
\ \"acc_norm_stderr\": 0.02366421667164251\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n\
\ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\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\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7575757575757576,\n \"acc_stderr\": 0.03053289223393202,\n \"\
acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03053289223393202\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8497409326424871,\n \"acc_stderr\": 0.025787723180723875,\n\
\ \"acc_norm\": 0.8497409326424871,\n \"acc_norm_stderr\": 0.025787723180723875\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\
\ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131143,\n \
\ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131143\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887037,\n\
\ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887037\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3841059602649007,\n \"acc_stderr\": 0.03971301814719197,\n \"\
acc_norm\": 0.3841059602649007,\n \"acc_norm_stderr\": 0.03971301814719197\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8366972477064221,\n \"acc_stderr\": 0.015848255806501534,\n \"\
acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.015848255806501534\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\
acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.803921568627451,\n \"acc_stderr\": 0.027865942286639318,\n \"\
acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639318\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601457,\n \
\ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601457\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6995515695067265,\n\
\ \"acc_stderr\": 0.030769352008229146,\n \"acc_norm\": 0.6995515695067265,\n\
\ \"acc_norm_stderr\": 0.030769352008229146\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\":\
\ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\
acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n\
\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \
\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664742,\n\
\ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664742\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5267857142857143,\n\
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822584,\n\
\ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822584\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\
\ \"acc_stderr\": 0.022209309073165623,\n \"acc_norm\": 0.8675213675213675,\n\
\ \"acc_norm_stderr\": 0.022209309073165623\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\": 0.8109833971902938,\n\
\ \"acc_stderr\": 0.014000791294406999,\n \"acc_norm\": 0.8109833971902938,\n\
\ \"acc_norm_stderr\": 0.014000791294406999\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6936416184971098,\n \"acc_stderr\": 0.024818350129436596,\n\
\ \"acc_norm\": 0.6936416184971098,\n \"acc_norm_stderr\": 0.024818350129436596\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.37988826815642457,\n\
\ \"acc_stderr\": 0.01623282681867849,\n \"acc_norm\": 0.37988826815642457,\n\
\ \"acc_norm_stderr\": 0.01623282681867849\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\": 0.7009646302250804,\n\
\ \"acc_stderr\": 0.026003301117885142,\n \"acc_norm\": 0.7009646302250804,\n\
\ \"acc_norm_stderr\": 0.026003301117885142\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\
\ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\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\": 0.43415906127770537,\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\": 0.6838235294117647,\n \"acc_stderr\": 0.02824568739146292,\n\
\ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.02824568739146292\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6519607843137255,\n \"acc_stderr\": 0.019270998708223974,\n \
\ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.019270998708223974\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\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\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\
\ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.43818849449204406,\n\
\ \"mc1_stderr\": 0.017369236164404445,\n \"mc2\": 0.596824313919398,\n\
\ \"mc2_stderr\": 0.015111088211554574\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7995264404104183,\n \"acc_stderr\": 0.011251958281205083\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5511751326762699,\n \
\ \"acc_stderr\": 0.013700157442788066\n }\n}\n```"
repo_url: https://huggingface.co/Intel/neural-chat-7b-v3-2
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_04T15_53_32.280845
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-53-32.280845.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-53-32.280845.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- '**/details_harness|winogrande|5_2023-12-04T15-53-32.280845.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-53-32.280845.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_53_32.280845
path:
- results_2023-12-04T15-53-32.280845.parquet
- split: latest
path:
- results_2023-12-04T15-53-32.280845.parquet
---
# Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Intel/neural-chat-7b-v3-2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2) 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_Intel__neural-chat-7b-v3-2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:53:32.280845](https://huggingface.co/datasets/open-llm-leaderboard/details_Intel__neural-chat-7b-v3-2/blob/main/results_2023-12-04T15-53-32.280845.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": 0.6369210872251465,
"acc_stderr": 0.0326377312636888,
"acc_norm": 0.6396211867921318,
"acc_norm_stderr": 0.03329595828089076,
"mc1": 0.43818849449204406,
"mc1_stderr": 0.017369236164404445,
"mc2": 0.596824313919398,
"mc2_stderr": 0.015111088211554574
},
"harness|arc:challenge|25": {
"acc": 0.636518771331058,
"acc_stderr": 0.014056207319068283,
"acc_norm": 0.6749146757679181,
"acc_norm_stderr": 0.013688147309729124
},
"harness|hellaswag|10": {
"acc": 0.6414060944035053,
"acc_stderr": 0.004786075107572188,
"acc_norm": 0.8391754630551683,
"acc_norm_stderr": 0.0036661823284423437
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.27,
"acc_stderr": 0.0446196043338474,
"acc_norm": 0.27,
"acc_norm_stderr": 0.0446196043338474
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6222222222222222,
"acc_stderr": 0.04188307537595852,
"acc_norm": 0.6222222222222222,
"acc_norm_stderr": 0.04188307537595852
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6973684210526315,
"acc_stderr": 0.03738520676119668,
"acc_norm": 0.6973684210526315,
"acc_norm_stderr": 0.03738520676119668
},
"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": 0.6754716981132075,
"acc_stderr": 0.02881561571343211,
"acc_norm": 0.6754716981132075,
"acc_norm_stderr": 0.02881561571343211
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7083333333333334,
"acc_stderr": 0.038009680605548594,
"acc_norm": 0.7083333333333334,
"acc_norm_stderr": 0.038009680605548594
},
"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": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"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": 0.6473988439306358,
"acc_stderr": 0.036430371689585475,
"acc_norm": 0.6473988439306358,
"acc_norm_stderr": 0.036430371689585475
},
"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": 0.04461960433384739,
"acc_norm": 0.73,
"acc_norm_stderr": 0.04461960433384739
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5787234042553191,
"acc_stderr": 0.03227834510146268,
"acc_norm": 0.5787234042553191,
"acc_norm_stderr": 0.03227834510146268
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.49122807017543857,
"acc_stderr": 0.04702880432049615,
"acc_norm": 0.49122807017543857,
"acc_norm_stderr": 0.04702880432049615
},
"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": 0.38095238095238093,
"acc_stderr": 0.025010749116137602,
"acc_norm": 0.38095238095238093,
"acc_norm_stderr": 0.025010749116137602
},
"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": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7774193548387097,
"acc_stderr": 0.02366421667164251,
"acc_norm": 0.7774193548387097,
"acc_norm_stderr": 0.02366421667164251
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.49261083743842365,
"acc_stderr": 0.035176035403610084,
"acc_norm": 0.49261083743842365,
"acc_norm_stderr": 0.035176035403610084
},
"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": {
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_Weyaxi__zephyr-alpha-Nebula-v2-7B | open-llm-leaderboard | 2023-12-04T16:01:09Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T16:00:23Z | ---
pretty_name: Evaluation run of Weyaxi/zephyr-alpha-Nebula-v2-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Weyaxi/zephyr-alpha-Nebula-v2-7B](https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B)\
\ 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_Weyaxi__zephyr-alpha-Nebula-v2-7B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:57:31.199945](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__zephyr-alpha-Nebula-v2-7B/blob/main/results_2023-12-04T15-57-31.199945.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\": 0.5652954998411592,\n\
\ \"acc_stderr\": 0.03358458028499026,\n \"acc_norm\": 0.5715669236783297,\n\
\ \"acc_norm_stderr\": 0.03429444097066663,\n \"mc1\": 0.4283965728274174,\n\
\ \"mc1_stderr\": 0.01732308859731475,\n \"mc2\": 0.5827588614927685,\n\
\ \"mc2_stderr\": 0.015689365398538633\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5631399317406144,\n \"acc_stderr\": 0.014494421584256524,\n\
\ \"acc_norm\": 0.5861774744027304,\n \"acc_norm_stderr\": 0.014392730009221009\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6397132045409281,\n\
\ \"acc_stderr\": 0.004791024004588008,\n \"acc_norm\": 0.8305118502290381,\n\
\ \"acc_norm_stderr\": 0.003744157442536553\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.0446196043338474\n },\n\
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.562962962962963,\n\
\ \"acc_stderr\": 0.042849586397534015,\n \"acc_norm\": 0.562962962962963,\n\
\ \"acc_norm_stderr\": 0.042849586397534015\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\": 0.52,\n\
\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5811320754716981,\n \"acc_stderr\": 0.030365050829115215,\n\
\ \"acc_norm\": 0.5811320754716981,\n \"acc_norm_stderr\": 0.030365050829115215\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.625,\n\
\ \"acc_stderr\": 0.04048439222695598,\n \"acc_norm\": 0.625,\n \
\ \"acc_norm_stderr\": 0.04048439222695598\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|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_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\": 0.6069364161849711,\n\
\ \"acc_stderr\": 0.0372424959581773,\n \"acc_norm\": 0.6069364161849711,\n\
\ \"acc_norm_stderr\": 0.0372424959581773\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082634,\n\
\ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082634\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\": 0.4978723404255319,\n \"acc_stderr\": 0.03268572658667492,\n\
\ \"acc_norm\": 0.4978723404255319,\n \"acc_norm_stderr\": 0.03268572658667492\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\": 0.503448275862069,\n \"acc_stderr\": 0.04166567577101579,\n\
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.04166567577101579\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.38095238095238093,\n \"acc_stderr\": 0.0250107491161376,\n \"\
acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.0250107491161376\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4523809523809524,\n\
\ \"acc_stderr\": 0.04451807959055328,\n \"acc_norm\": 0.4523809523809524,\n\
\ \"acc_norm_stderr\": 0.04451807959055328\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.6903225806451613,\n \"acc_stderr\": 0.026302774983517418,\n \"\
acc_norm\": 0.6903225806451613,\n \"acc_norm_stderr\": 0.026302774983517418\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.4433497536945813,\n \"acc_stderr\": 0.03495334582162933,\n \"\
acc_norm\": 0.4433497536945813,\n \"acc_norm_stderr\": 0.03495334582162933\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\
: {\n \"acc\": 0.7090909090909091,\n \"acc_stderr\": 0.03546563019624335,\n\
\ \"acc_norm\": 0.7090909090909091,\n \"acc_norm_stderr\": 0.03546563019624335\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124498,\n \"\
acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124498\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7512953367875648,\n \"acc_stderr\": 0.031195840877700293,\n\
\ \"acc_norm\": 0.7512953367875648,\n \"acc_norm_stderr\": 0.031195840877700293\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5717948717948718,\n \"acc_stderr\": 0.025088301454694827,\n\
\ \"acc_norm\": 0.5717948717948718,\n \"acc_norm_stderr\": 0.025088301454694827\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\": 0.5672268907563025,\n \"acc_stderr\": 0.03218358107742613,\n \
\ \"acc_norm\": 0.5672268907563025,\n \"acc_norm_stderr\": 0.03218358107742613\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242741,\n \"\
acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242741\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8146788990825689,\n \"acc_stderr\": 0.016659279700295813,\n \"\
acc_norm\": 0.8146788990825689,\n \"acc_norm_stderr\": 0.016659279700295813\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4074074074074074,\n \"acc_stderr\": 0.03350991604696042,\n \"\
acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.03350991604696042\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7107843137254902,\n \"acc_stderr\": 0.031822318676475544,\n \"\
acc_norm\": 0.7107843137254902,\n \"acc_norm_stderr\": 0.031822318676475544\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7426160337552743,\n \"acc_stderr\": 0.028458820991460302,\n \
\ \"acc_norm\": 0.7426160337552743,\n \"acc_norm_stderr\": 0.028458820991460302\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5964125560538116,\n\
\ \"acc_stderr\": 0.03292802819330314,\n \"acc_norm\": 0.5964125560538116,\n\
\ \"acc_norm_stderr\": 0.03292802819330314\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.042607351576445594,\n\
\ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.042607351576445594\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302872,\n \"acc_norm\"\
: 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302872\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\
\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\
\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.6932515337423313,\n \"acc_stderr\": 0.03623089915724146,\n\
\ \"acc_norm\": 0.6932515337423313,\n \"acc_norm_stderr\": 0.03623089915724146\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\
\ \"acc_stderr\": 0.0432704093257873,\n \"acc_norm\": 0.29464285714285715,\n\
\ \"acc_norm_stderr\": 0.0432704093257873\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\
\ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8076923076923077,\n\
\ \"acc_stderr\": 0.025819233256483717,\n \"acc_norm\": 0.8076923076923077,\n\
\ \"acc_norm_stderr\": 0.025819233256483717\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001974,\n \
\ \"acc_norm\": 0.61,\n \"acc_norm_stderr\": 0.04902071300001974\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7701149425287356,\n\
\ \"acc_stderr\": 0.015046301846691812,\n \"acc_norm\": 0.7701149425287356,\n\
\ \"acc_norm_stderr\": 0.015046301846691812\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.615606936416185,\n \"acc_stderr\": 0.026189666966272035,\n\
\ \"acc_norm\": 0.615606936416185,\n \"acc_norm_stderr\": 0.026189666966272035\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.27150837988826815,\n\
\ \"acc_stderr\": 0.014874252168095268,\n \"acc_norm\": 0.27150837988826815,\n\
\ \"acc_norm_stderr\": 0.014874252168095268\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5849673202614379,\n \"acc_stderr\": 0.028213504177824103,\n\
\ \"acc_norm\": 0.5849673202614379,\n \"acc_norm_stderr\": 0.028213504177824103\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\
\ \"acc_stderr\": 0.026003301117885142,\n \"acc_norm\": 0.7009646302250804,\n\
\ \"acc_norm_stderr\": 0.026003301117885142\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6574074074074074,\n \"acc_stderr\": 0.02640614597362567,\n\
\ \"acc_norm\": 0.6574074074074074,\n \"acc_norm_stderr\": 0.02640614597362567\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4326241134751773,\n \"acc_stderr\": 0.029555454236778852,\n \
\ \"acc_norm\": 0.4326241134751773,\n \"acc_norm_stderr\": 0.029555454236778852\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.439374185136897,\n\
\ \"acc_stderr\": 0.012676014778580212,\n \"acc_norm\": 0.439374185136897,\n\
\ \"acc_norm_stderr\": 0.012676014778580212\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5735294117647058,\n \"acc_stderr\": 0.030042615832714874,\n\
\ \"acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.030042615832714874\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5441176470588235,\n \"acc_stderr\": 0.020148939420415745,\n \
\ \"acc_norm\": 0.5441176470588235,\n \"acc_norm_stderr\": 0.020148939420415745\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6090909090909091,\n\
\ \"acc_stderr\": 0.04673752333670239,\n \"acc_norm\": 0.6090909090909091,\n\
\ \"acc_norm_stderr\": 0.04673752333670239\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5183673469387755,\n \"acc_stderr\": 0.03198761546763127,\n\
\ \"acc_norm\": 0.5183673469387755,\n \"acc_norm_stderr\": 0.03198761546763127\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7611940298507462,\n\
\ \"acc_stderr\": 0.030147775935409217,\n \"acc_norm\": 0.7611940298507462,\n\
\ \"acc_norm_stderr\": 0.030147775935409217\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.03861229196653694,\n \
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.03861229196653694\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4578313253012048,\n\
\ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.4578313253012048,\n\
\ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\
\ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4283965728274174,\n\
\ \"mc1_stderr\": 0.01732308859731475,\n \"mc2\": 0.5827588614927685,\n\
\ \"mc2_stderr\": 0.015689365398538633\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7355958958168903,\n \"acc_stderr\": 0.012394724896983796\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.23881728582259287,\n \
\ \"acc_stderr\": 0.011744097081003803\n }\n}\n```"
repo_url: https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B
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_04T15_57_31.199945
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-57-31.199945.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-57-31.199945.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- '**/details_harness|winogrande|5_2023-12-04T15-57-31.199945.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-57-31.199945.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_57_31.199945
path:
- results_2023-12-04T15-57-31.199945.parquet
- split: latest
path:
- results_2023-12-04T15-57-31.199945.parquet
---
# Dataset Card for Evaluation run of Weyaxi/zephyr-alpha-Nebula-v2-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Weyaxi/zephyr-alpha-Nebula-v2-7B](https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B) 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_Weyaxi__zephyr-alpha-Nebula-v2-7B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:57:31.199945](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__zephyr-alpha-Nebula-v2-7B/blob/main/results_2023-12-04T15-57-31.199945.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
{
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"acc_stderr": 0.03358458028499026,
"acc_norm": 0.5715669236783297,
"acc_norm_stderr": 0.03429444097066663,
"mc1": 0.4283965728274174,
"mc1_stderr": 0.01732308859731475,
"mc2": 0.5827588614927685,
"mc2_stderr": 0.015689365398538633
},
"harness|arc:challenge|25": {
"acc": 0.5631399317406144,
"acc_stderr": 0.014494421584256524,
"acc_norm": 0.5861774744027304,
"acc_norm_stderr": 0.014392730009221009
},
"harness|hellaswag|10": {
"acc": 0.6397132045409281,
"acc_stderr": 0.004791024004588008,
"acc_norm": 0.8305118502290381,
"acc_norm_stderr": 0.003744157442536553
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.27,
"acc_stderr": 0.0446196043338474,
"acc_norm": 0.27,
"acc_norm_stderr": 0.0446196043338474
},
"harness|hendrycksTest-anatomy|5": {
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"acc_norm": 0.562962962962963,
"acc_norm_stderr": 0.042849586397534015
},
"harness|hendrycksTest-astronomy|5": {
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"acc_norm_stderr": 0.03965842097512744
},
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},
"harness|hendrycksTest-clinical_knowledge|5": {
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"acc_norm": 0.5811320754716981,
"acc_norm_stderr": 0.030365050829115215
},
"harness|hendrycksTest-college_biology|5": {
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"acc_norm": 0.625,
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},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_norm": 0.41,
"acc_norm_stderr": 0.049431107042371025
},
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"harness|hendrycksTest-college_medicine|5": {
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},
"harness|hendrycksTest-computer_security|5": {
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"acc_norm": 0.71,
"acc_norm_stderr": 0.045604802157206845
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"harness|hendrycksTest-conceptual_physics|5": {
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"harness|hendrycksTest-econometrics|5": {
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"acc_norm": 0.43859649122807015,
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},
"harness|hendrycksTest-electrical_engineering|5": {
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"harness|hendrycksTest-high_school_biology|5": {
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"harness|hendrycksTest-high_school_computer_science|5": {
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"harness|hendrycksTest-high_school_european_history|5": {
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"harness|hendrycksTest-high_school_physics|5": {
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"harness|hendrycksTest-high_school_psychology|5": {
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"harness|hendrycksTest-high_school_us_history|5": {
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"harness|hendrycksTest-high_school_world_history|5": {
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"harness|hendrycksTest-international_law|5": {
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"harness|hendrycksTest-jurisprudence|5": {
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"harness|hendrycksTest-management|5": {
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},
"harness|hendrycksTest-marketing|5": {
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"harness|hendrycksTest-medical_genetics|5": {
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"harness|hendrycksTest-moral_scenarios|5": {
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"harness|hendrycksTest-nutrition|5": {
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"harness|hendrycksTest-philosophy|5": {
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"harness|hendrycksTest-prehistory|5": {
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"harness|hendrycksTest-professional_accounting|5": {
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"harness|hendrycksTest-security_studies|5": {
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"harness|hendrycksTest-sociology|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-virology|5": {
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"harness|hendrycksTest-world_religions|5": {
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"acc_norm": 0.7894736842105263,
"acc_norm_stderr": 0.031267817146631786
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"harness|truthfulqa:mc|0": {
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"mc1_stderr": 0.01732308859731475,
"mc2": 0.5827588614927685,
"mc2_stderr": 0.015689365398538633
},
"harness|winogrande|5": {
"acc": 0.7355958958168903,
"acc_stderr": 0.012394724896983796
},
"harness|gsm8k|5": {
"acc": 0.23881728582259287,
"acc_stderr": 0.011744097081003803
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_uukuguy__speechless-tools-7b | open-llm-leaderboard | 2023-12-04T16:02:50Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T16:02:01Z | ---
pretty_name: Evaluation run of uukuguy/speechless-tools-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [uukuguy/speechless-tools-7b](https://huggingface.co/uukuguy/speechless-tools-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_uukuguy__speechless-tools-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T15:59:01.119688](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-tools-7b/blob/main/results_2023-12-04T15-59-01.119688.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\": 0.33439260458192543,\n\
\ \"acc_stderr\": 0.03318510046683825,\n \"acc_norm\": 0.3375068000778248,\n\
\ \"acc_norm_stderr\": 0.03395842042621018,\n \"mc1\": 0.2741738066095471,\n\
\ \"mc1_stderr\": 0.015616518497219371,\n \"mc2\": 0.4408018939045002,\n\
\ \"mc2_stderr\": 0.015451244968527669\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.3412969283276451,\n \"acc_stderr\": 0.013855831287497717,\n\
\ \"acc_norm\": 0.3890784982935154,\n \"acc_norm_stderr\": 0.014247309976045607\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.44901414060944034,\n\
\ \"acc_stderr\": 0.004963771168672087,\n \"acc_norm\": 0.5768771161123282,\n\
\ \"acc_norm_stderr\": 0.004930448527146669\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.04605661864718381,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.04605661864718381\n },\n\
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.31851851851851853,\n\
\ \"acc_stderr\": 0.040247784019771096,\n \"acc_norm\": 0.31851851851851853,\n\
\ \"acc_norm_stderr\": 0.040247784019771096\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.28289473684210525,\n \"acc_stderr\": 0.03665349695640767,\n\
\ \"acc_norm\": 0.28289473684210525,\n \"acc_norm_stderr\": 0.03665349695640767\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.36981132075471695,\n \"acc_stderr\": 0.029711421880107922,\n\
\ \"acc_norm\": 0.36981132075471695,\n \"acc_norm_stderr\": 0.029711421880107922\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2708333333333333,\n\
\ \"acc_stderr\": 0.037161774375660164,\n \"acc_norm\": 0.2708333333333333,\n\
\ \"acc_norm_stderr\": 0.037161774375660164\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.17,\n \"acc_stderr\": 0.0377525168068637,\n \
\ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.31,\n\
\ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2947976878612717,\n\
\ \"acc_stderr\": 0.034765996075164785,\n \"acc_norm\": 0.2947976878612717,\n\
\ \"acc_norm_stderr\": 0.034765996075164785\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.2936170212765957,\n \"acc_stderr\": 0.029771642712491234,\n\
\ \"acc_norm\": 0.2936170212765957,\n \"acc_norm_stderr\": 0.029771642712491234\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
\ \"acc_stderr\": 0.04049339297748142,\n \"acc_norm\": 0.24561403508771928,\n\
\ \"acc_norm_stderr\": 0.04049339297748142\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.3586206896551724,\n \"acc_stderr\": 0.03996629574876719,\n\
\ \"acc_norm\": 0.3586206896551724,\n \"acc_norm_stderr\": 0.03996629574876719\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.26455026455026454,\n \"acc_stderr\": 0.022717467897708617,\n \"\
acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.022717467897708617\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.23015873015873015,\n\
\ \"acc_stderr\": 0.03764950879790606,\n \"acc_norm\": 0.23015873015873015,\n\
\ \"acc_norm_stderr\": 0.03764950879790606\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\": 0.3225806451612903,\n\
\ \"acc_stderr\": 0.026593084516572284,\n \"acc_norm\": 0.3225806451612903,\n\
\ \"acc_norm_stderr\": 0.026593084516572284\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.28078817733990147,\n \"acc_stderr\": 0.031618563353586086,\n\
\ \"acc_norm\": 0.28078817733990147,\n \"acc_norm_stderr\": 0.031618563353586086\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\"\
: 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.4121212121212121,\n \"acc_stderr\": 0.03843566993588718,\n\
\ \"acc_norm\": 0.4121212121212121,\n \"acc_norm_stderr\": 0.03843566993588718\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.3939393939393939,\n \"acc_stderr\": 0.03481285338232963,\n \"\
acc_norm\": 0.3939393939393939,\n \"acc_norm_stderr\": 0.03481285338232963\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.34196891191709844,\n \"acc_stderr\": 0.034234651001042844,\n\
\ \"acc_norm\": 0.34196891191709844,\n \"acc_norm_stderr\": 0.034234651001042844\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.31794871794871793,\n \"acc_stderr\": 0.023610884308927858,\n\
\ \"acc_norm\": 0.31794871794871793,\n \"acc_norm_stderr\": 0.023610884308927858\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.23333333333333334,\n \"acc_stderr\": 0.025787874220959323,\n \
\ \"acc_norm\": 0.23333333333333334,\n \"acc_norm_stderr\": 0.025787874220959323\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.29831932773109243,\n \"acc_stderr\": 0.029719142876342853,\n\
\ \"acc_norm\": 0.29831932773109243,\n \"acc_norm_stderr\": 0.029719142876342853\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.1986754966887417,\n \"acc_stderr\": 0.03257847384436776,\n \"\
acc_norm\": 0.1986754966887417,\n \"acc_norm_stderr\": 0.03257847384436776\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.3798165137614679,\n \"acc_stderr\": 0.020808825617866244,\n \"\
acc_norm\": 0.3798165137614679,\n \"acc_norm_stderr\": 0.020808825617866244\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.21296296296296297,\n \"acc_stderr\": 0.027920963147993662,\n \"\
acc_norm\": 0.21296296296296297,\n \"acc_norm_stderr\": 0.027920963147993662\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.36764705882352944,\n \"acc_stderr\": 0.03384132045674119,\n \"\
acc_norm\": 0.36764705882352944,\n \"acc_norm_stderr\": 0.03384132045674119\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.4430379746835443,\n \"acc_stderr\": 0.03233532777533485,\n \
\ \"acc_norm\": 0.4430379746835443,\n \"acc_norm_stderr\": 0.03233532777533485\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3452914798206278,\n\
\ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.3452914798206278,\n\
\ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.40458015267175573,\n \"acc_stderr\": 0.043046937953806645,\n\
\ \"acc_norm\": 0.40458015267175573,\n \"acc_norm_stderr\": 0.043046937953806645\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.4628099173553719,\n \"acc_stderr\": 0.045517111961042175,\n \"\
acc_norm\": 0.4628099173553719,\n \"acc_norm_stderr\": 0.045517111961042175\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.48148148148148145,\n\
\ \"acc_stderr\": 0.04830366024635331,\n \"acc_norm\": 0.48148148148148145,\n\
\ \"acc_norm_stderr\": 0.04830366024635331\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.39263803680981596,\n \"acc_stderr\": 0.03836740907831028,\n\
\ \"acc_norm\": 0.39263803680981596,\n \"acc_norm_stderr\": 0.03836740907831028\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.25892857142857145,\n\
\ \"acc_stderr\": 0.041577515398656284,\n \"acc_norm\": 0.25892857142857145,\n\
\ \"acc_norm_stderr\": 0.041577515398656284\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.4077669902912621,\n \"acc_stderr\": 0.048657775704107696,\n\
\ \"acc_norm\": 0.4077669902912621,\n \"acc_norm_stderr\": 0.048657775704107696\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.5,\n \
\ \"acc_stderr\": 0.03275608910402091,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.03275608910402091\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\": 0.4086845466155811,\n\
\ \"acc_stderr\": 0.017579250148153393,\n \"acc_norm\": 0.4086845466155811,\n\
\ \"acc_norm_stderr\": 0.017579250148153393\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.38439306358381503,\n \"acc_stderr\": 0.026189666966272028,\n\
\ \"acc_norm\": 0.38439306358381503,\n \"acc_norm_stderr\": 0.026189666966272028\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2670391061452514,\n\
\ \"acc_stderr\": 0.014796502622562567,\n \"acc_norm\": 0.2670391061452514,\n\
\ \"acc_norm_stderr\": 0.014796502622562567\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.32679738562091504,\n \"acc_stderr\": 0.026857294663281416,\n\
\ \"acc_norm\": 0.32679738562091504,\n \"acc_norm_stderr\": 0.026857294663281416\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.3665594855305466,\n\
\ \"acc_stderr\": 0.027368078243971614,\n \"acc_norm\": 0.3665594855305466,\n\
\ \"acc_norm_stderr\": 0.027368078243971614\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.37037037037037035,\n \"acc_stderr\": 0.02686949074481525,\n\
\ \"acc_norm\": 0.37037037037037035,\n \"acc_norm_stderr\": 0.02686949074481525\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.30141843971631205,\n \"acc_stderr\": 0.027374128882631146,\n \
\ \"acc_norm\": 0.30141843971631205,\n \"acc_norm_stderr\": 0.027374128882631146\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2920469361147327,\n\
\ \"acc_stderr\": 0.011613349136271808,\n \"acc_norm\": 0.2920469361147327,\n\
\ \"acc_norm_stderr\": 0.011613349136271808\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.2426470588235294,\n \"acc_stderr\": 0.026040662474201268,\n\
\ \"acc_norm\": 0.2426470588235294,\n \"acc_norm_stderr\": 0.026040662474201268\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.31862745098039214,\n \"acc_stderr\": 0.018850084696468712,\n \
\ \"acc_norm\": 0.31862745098039214,\n \"acc_norm_stderr\": 0.018850084696468712\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.4,\n\
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.4,\n \
\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.3673469387755102,\n \"acc_stderr\": 0.030862144921087558,\n\
\ \"acc_norm\": 0.3673469387755102,\n \"acc_norm_stderr\": 0.030862144921087558\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.4228855721393035,\n\
\ \"acc_stderr\": 0.034932317774212816,\n \"acc_norm\": 0.4228855721393035,\n\
\ \"acc_norm_stderr\": 0.034932317774212816\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.3132530120481928,\n\
\ \"acc_stderr\": 0.03610805018031024,\n \"acc_norm\": 0.3132530120481928,\n\
\ \"acc_norm_stderr\": 0.03610805018031024\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\": 0.2741738066095471,\n\
\ \"mc1_stderr\": 0.015616518497219371,\n \"mc2\": 0.4408018939045002,\n\
\ \"mc2_stderr\": 0.015451244968527669\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.585635359116022,\n \"acc_stderr\": 0.013844846232268558\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.07505686125852919,\n \
\ \"acc_stderr\": 0.007257633145486642\n }\n}\n```"
repo_url: https://huggingface.co/uukuguy/speechless-tools-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_04T15_59_01.119688
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-59-01.119688.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T15-59-01.119688.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- '**/details_harness|winogrande|5_2023-12-04T15-59-01.119688.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T15-59-01.119688.parquet'
- config_name: results
data_files:
- split: 2023_12_04T15_59_01.119688
path:
- results_2023-12-04T15-59-01.119688.parquet
- split: latest
path:
- results_2023-12-04T15-59-01.119688.parquet
---
# Dataset Card for Evaluation run of uukuguy/speechless-tools-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/speechless-tools-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [uukuguy/speechless-tools-7b](https://huggingface.co/uukuguy/speechless-tools-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_uukuguy__speechless-tools-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T15:59:01.119688](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-tools-7b/blob/main/results_2023-12-04T15-59-01.119688.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": 0.33439260458192543,
"acc_stderr": 0.03318510046683825,
"acc_norm": 0.3375068000778248,
"acc_norm_stderr": 0.03395842042621018,
"mc1": 0.2741738066095471,
"mc1_stderr": 0.015616518497219371,
"mc2": 0.4408018939045002,
"mc2_stderr": 0.015451244968527669
},
"harness|arc:challenge|25": {
"acc": 0.3412969283276451,
"acc_stderr": 0.013855831287497717,
"acc_norm": 0.3890784982935154,
"acc_norm_stderr": 0.014247309976045607
},
"harness|hellaswag|10": {
"acc": 0.44901414060944034,
"acc_stderr": 0.004963771168672087,
"acc_norm": 0.5768771161123282,
"acc_norm_stderr": 0.004930448527146669
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.3,
"acc_stderr": 0.04605661864718381,
"acc_norm": 0.3,
"acc_norm_stderr": 0.04605661864718381
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.31851851851851853,
"acc_stderr": 0.040247784019771096,
"acc_norm": 0.31851851851851853,
"acc_norm_stderr": 0.040247784019771096
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.28289473684210525,
"acc_stderr": 0.03665349695640767,
"acc_norm": 0.28289473684210525,
"acc_norm_stderr": 0.03665349695640767
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.36981132075471695,
"acc_stderr": 0.029711421880107922,
"acc_norm": 0.36981132075471695,
"acc_norm_stderr": 0.029711421880107922
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.2708333333333333,
"acc_stderr": 0.037161774375660164,
"acc_norm": 0.2708333333333333,
"acc_norm_stderr": 0.037161774375660164
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.17,
"acc_stderr": 0.0377525168068637,
"acc_norm": 0.17,
"acc_norm_stderr": 0.0377525168068637
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.2947976878612717,
"acc_stderr": 0.034765996075164785,
"acc_norm": 0.2947976878612717,
"acc_norm_stderr": 0.034765996075164785
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.041583075330832865,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.041583075330832865
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.41,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.41,
"acc_norm_stderr": 0.04943110704237102
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.2936170212765957,
"acc_stderr": 0.029771642712491234,
"acc_norm": 0.2936170212765957,
"acc_norm_stderr": 0.029771642712491234
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.04049339297748142,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.04049339297748142
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.3586206896551724,
"acc_stderr": 0.03996629574876719,
"acc_norm": 0.3586206896551724,
"acc_norm_stderr": 0.03996629574876719
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.26455026455026454,
"acc_stderr": 0.022717467897708617,
"acc_norm": 0.26455026455026454,
"acc_norm_stderr": 0.022717467897708617
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.23015873015873015,
"acc_stderr": 0.03764950879790606,
"acc_norm": 0.23015873015873015,
"acc_norm_stderr": 0.03764950879790606
},
"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": 0.3225806451612903,
"acc_stderr": 0.026593084516572284,
"acc_norm": 0.3225806451612903,
"acc_norm_stderr": 0.026593084516572284
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.28078817733990147,
"acc_stderr": 0.031618563353586086,
"acc_norm": 0.28078817733990147,
"acc_norm_stderr": 0.031618563353586086
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.38,
"acc_stderr": 0.04878317312145633,
"acc_norm": 0.38,
"acc_norm_stderr": 0.04878317312145633
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.4121212121212121,
"acc_stderr": 0.03843566993588718,
"acc_norm": 0.4121212121212121,
"acc_norm_stderr": 0.03843566993588718
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.3939393939393939,
"acc_stderr": 0.03481285338232963,
"acc_norm": 0.3939393939393939,
"acc_norm_stderr": 0.03481285338232963
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.34196891191709844,
"acc_stderr": 0.034234651001042844,
"acc_norm": 0.34196891191709844,
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
svnbadrinath/llama2_chat_basic | svnbadrinath | 2023-12-04T16:05:59Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T16:05:59Z | ---
license: apache-2.0
---
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|
open-llm-leaderboard/details_uukuguy__zephyr-7b-alpha-dare-0.85 | open-llm-leaderboard | 2023-12-04T16:07:09Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T16:06:21Z | ---
pretty_name: Evaluation run of uukuguy/zephyr-7b-alpha-dare-0.85
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [uukuguy/zephyr-7b-alpha-dare-0.85](https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85)\
\ 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_uukuguy__zephyr-7b-alpha-dare-0.85\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T16:03:30.985884](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__zephyr-7b-alpha-dare-0.85/blob/main/results_2023-12-04T16-03-30.985884.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\": 0.6405125012890543,\n\
\ \"acc_stderr\": 0.0322440782989453,\n \"acc_norm\": 0.6457442431541438,\n\
\ \"acc_norm_stderr\": 0.032888705588954556,\n \"mc1\": 0.29498164014687883,\n\
\ \"mc1_stderr\": 0.015964400965589657,\n \"mc2\": 0.4441404853042373,\n\
\ \"mc2_stderr\": 0.014450558004670922\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5767918088737202,\n \"acc_stderr\": 0.01443803622084803,\n\
\ \"acc_norm\": 0.6117747440273038,\n \"acc_norm_stderr\": 0.01424161420741405\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6387173869747063,\n\
\ \"acc_stderr\": 0.004793904922401889,\n \"acc_norm\": 0.8366859191396137,\n\
\ \"acc_norm_stderr\": 0.0036889652317335197\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411021,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411021\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\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395268,\n\
\ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395268\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\
\ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7152777777777778,\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\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n\
\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\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\": 0.4215686274509804,\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\":\
\ 0.79,\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\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\
\ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.45614035087719296,\n\
\ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\
\ \"acc_norm_stderr\": 0.04685473041907789\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\"\
: 0.3941798941798942,\n \"acc_stderr\": 0.02516798233389414,\n \"\
acc_norm\": 0.3941798941798942,\n \"acc_norm_stderr\": 0.02516798233389414\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\
\ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\
\ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\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\": 0.5270935960591133,\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\": 0.66,\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\": 0.7515151515151515,\n \"acc_stderr\": 0.033744026441394036,\n\
\ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.033744026441394036\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586808,\n \"\
acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586808\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919443,\n\
\ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919443\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.024078696580635477,\n\
\ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.024078696580635477\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251976,\n \
\ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251976\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.030684737115135356,\n\
\ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.030684737115135356\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.818348623853211,\n \"acc_stderr\": 0.016530617409266875,\n \"\
acc_norm\": 0.818348623853211,\n \"acc_norm_stderr\": 0.016530617409266875\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5787037037037037,\n \"acc_stderr\": 0.033674621388960775,\n \"\
acc_norm\": 0.5787037037037037,\n \"acc_norm_stderr\": 0.033674621388960775\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.803921568627451,\n \"acc_stderr\": 0.027865942286639318,\n \"\
acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639318\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \
\ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\
\ \"acc_stderr\": 0.03102441174057222,\n \"acc_norm\": 0.6905829596412556,\n\
\ \"acc_norm_stderr\": 0.03102441174057222\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.036412970813137296,\n\
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.036412970813137296\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\": 0.7685185185185185,\n\
\ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\
\ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742178,\n\
\ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742178\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\": 0.03760178006026621,\n\
\ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.03760178006026621\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\
\ \"acc_stderr\": 0.021262719400406943,\n \"acc_norm\": 0.8803418803418803,\n\
\ \"acc_norm_stderr\": 0.021262719400406943\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\
\ \"acc_stderr\": 0.013816335389973136,\n \"acc_norm\": 0.8173690932311622,\n\
\ \"acc_norm_stderr\": 0.013816335389973136\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7196531791907514,\n \"acc_stderr\": 0.024182427496577615,\n\
\ \"acc_norm\": 0.7196531791907514,\n \"acc_norm_stderr\": 0.024182427496577615\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3139664804469274,\n\
\ \"acc_stderr\": 0.015521923933523642,\n \"acc_norm\": 0.3139664804469274,\n\
\ \"acc_norm_stderr\": 0.015521923933523642\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7581699346405228,\n \"acc_stderr\": 0.024518195641879334,\n\
\ \"acc_norm\": 0.7581699346405228,\n \"acc_norm_stderr\": 0.024518195641879334\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\
\ \"acc_stderr\": 0.02600330111788514,\n \"acc_norm\": 0.7009646302250804,\n\
\ \"acc_norm_stderr\": 0.02600330111788514\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7283950617283951,\n \"acc_stderr\": 0.02474862449053737,\n\
\ \"acc_norm\": 0.7283950617283951,\n \"acc_norm_stderr\": 0.02474862449053737\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\": 0.4426336375488918,\n\
\ \"acc_stderr\": 0.012685906538206242,\n \"acc_norm\": 0.4426336375488918,\n\
\ \"acc_norm_stderr\": 0.012685906538206242\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.02833295951403121,\n\
\ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.02833295951403121\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\": 0.6818181818181818,\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\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\
\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \
\ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\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\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727668,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727668\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29498164014687883,\n\
\ \"mc1_stderr\": 0.015964400965589657,\n \"mc2\": 0.4441404853042373,\n\
\ \"mc2_stderr\": 0.014450558004670922\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7845303867403315,\n \"acc_stderr\": 0.011555295286059282\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.42077331311599697,\n \
\ \"acc_stderr\": 0.013598489497182837\n }\n}\n```"
repo_url: https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85
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_04T16_03_30.985884
path:
- '**/details_harness|arc:challenge|25_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|gsm8k|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hellaswag|10_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-03-30.985884.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T16-03-30.985884.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- '**/details_harness|winogrande|5_2023-12-04T16-03-30.985884.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T16-03-30.985884.parquet'
- config_name: results
data_files:
- split: 2023_12_04T16_03_30.985884
path:
- results_2023-12-04T16-03-30.985884.parquet
- split: latest
path:
- results_2023-12-04T16-03-30.985884.parquet
---
# Dataset Card for Evaluation run of uukuguy/zephyr-7b-alpha-dare-0.85
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [uukuguy/zephyr-7b-alpha-dare-0.85](https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85) 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_uukuguy__zephyr-7b-alpha-dare-0.85",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T16:03:30.985884](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__zephyr-7b-alpha-dare-0.85/blob/main/results_2023-12-04T16-03-30.985884.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": 0.6405125012890543,
"acc_stderr": 0.0322440782989453,
"acc_norm": 0.6457442431541438,
"acc_norm_stderr": 0.032888705588954556,
"mc1": 0.29498164014687883,
"mc1_stderr": 0.015964400965589657,
"mc2": 0.4441404853042373,
"mc2_stderr": 0.014450558004670922
},
"harness|arc:challenge|25": {
"acc": 0.5767918088737202,
"acc_stderr": 0.01443803622084803,
"acc_norm": 0.6117747440273038,
"acc_norm_stderr": 0.01424161420741405
},
"harness|hellaswag|10": {
"acc": 0.6387173869747063,
"acc_stderr": 0.004793904922401889,
"acc_norm": 0.8366859191396137,
"acc_norm_stderr": 0.0036889652317335197
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.35,
"acc_stderr": 0.04793724854411021,
"acc_norm": 0.35,
"acc_norm_stderr": 0.04793724854411021
},
"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": 0.6644736842105263,
"acc_stderr": 0.03842498559395268,
"acc_norm": 0.6644736842105263,
"acc_norm_stderr": 0.03842498559395268
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.57,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.57,
"acc_norm_stderr": 0.049756985195624284
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6981132075471698,
"acc_stderr": 0.02825420034443866,
"acc_norm": 0.6981132075471698,
"acc_norm_stderr": 0.02825420034443866
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7152777777777778,
"acc_stderr": 0.037738099906869334,
"acc_norm": 0.7152777777777778,
"acc_norm_stderr": 0.037738099906869334
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.51,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.51,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.4,
"acc_stderr": 0.04923659639173309,
"acc_norm": 0.4,
"acc_norm_stderr": 0.04923659639173309
},
"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": 0.4215686274509804,
"acc_stderr": 0.04913595201274498,
"acc_norm": 0.4215686274509804,
"acc_norm_stderr": 0.04913595201274498
},
"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": 0.5829787234042553,
"acc_stderr": 0.03223276266711712,
"acc_norm": 0.5829787234042553,
"acc_norm_stderr": 0.03223276266711712
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.45614035087719296,
"acc_stderr": 0.04685473041907789,
"acc_norm": 0.45614035087719296,
"acc_norm_stderr": 0.04685473041907789
},
"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": 0.3941798941798942,
"acc_stderr": 0.02516798233389414,
"acc_norm": 0.3941798941798942,
"acc_norm_stderr": 0.02516798233389414
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.42063492063492064,
"acc_stderr": 0.04415438226743744,
"acc_norm": 0.42063492063492064,
"acc_norm_stderr": 0.04415438226743744
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"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": 0.5270935960591133,
"acc_stderr": 0.03512819077876106,
"acc_norm": 0.5270935960591133,
"acc_norm_stderr": 0.03512819077876106
},
"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": 0.7515151515151515,
"acc_stderr": 0.033744026441394036,
"acc_norm": 0.7515151515151515,
"acc_norm_stderr": 0.033744026441394036
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7878787878787878,
"acc_stderr": 0.029126522834586808,
"acc_norm": 0.7878787878787878,
"acc_norm_stderr": 0.029126522834586808
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8860103626943006,
"acc_stderr": 0.022935144053919443,
"acc_norm": 0.8860103626943006,
"acc_norm_stderr": 0.022935144053919443
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6564102564102564,
"acc_stderr": 0.024078696580635477,
"acc_norm": 0.6564102564102564,
"acc_norm_stderr": 0.024078696580635477
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3592592592592593,
"acc_stderr": 0.029252905927251976,
"acc_norm": 0.3592592592592593,
"acc_norm_stderr": 0.029252905927251976
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6638655462184874,
"acc_stderr": 0.030684737115135356,
"acc_norm": 0.6638655462184874,
"acc_norm_stderr": 0.030684737115135356
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.33774834437086093,
"acc_stderr": 0.038615575462551684,
"acc_norm": 0.33774834437086093,
"acc_norm_stderr": 0.038615575462551684
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.818348623853211,
"acc_stderr": 0.016530617409266875,
"acc_norm": 0.818348623853211,
"acc_norm_stderr": 0.016530617409266875
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5787037037037037,
"acc_stderr": 0.033674621388960775,
"acc_norm": 0.5787037037037037,
"acc_norm_stderr": 0.033674621388960775
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.803921568627451,
"acc_stderr": 0.027865942286639318,
"acc_norm": 0.803921568627451,
"acc_norm_stderr": 0.027865942286639318
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7763713080168776,
"acc_stderr": 0.027123298205229966,
"acc_norm": 0.7763713080168776,
"acc_norm_stderr": 0.027123298205229966
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6905829596412556,
"acc_stderr": 0.03102441174057222,
"acc_norm": 0.6905829596412556,
"acc_norm_stderr": 0.03102441174057222
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7786259541984732,
"acc_stderr": 0.036412970813137296,
"acc_norm": 0.7786259541984732,
"acc_norm_stderr": 0.036412970813137296
},
"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": 0.7685185185185185,
"acc_stderr": 0.04077494709252627,
"acc_norm": 0.7685185185185185,
"acc_norm_stderr": 0.04077494709252627
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.7791411042944786,
"acc_stderr": 0.03259177392742178,
"acc_norm": 0.7791411042944786,
"acc_norm_stderr": 0.03259177392742178
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.48214285714285715,
"acc_stderr": 0.047427623612430116,
"acc_norm": 0.48214285714285715,
"acc_norm_stderr": 0.047427623612430116
},
"harness|hendrycksTest-management|5": {
"acc": 0.8252427184466019,
"acc_stderr": 0.03760178006026621,
"acc_norm": 0.8252427184466019,
"acc_norm_stderr": 0.03760178006026621
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8803418803418803,
"acc_stderr": 0.021262719400406943,
"acc_norm": 0.8803418803418803,
"acc_norm_stderr": 0.021262719400406943
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.76,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.76,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8173690932311622,
"acc_stderr": 0.013816335389973136,
"acc_norm": 0.8173690932311622,
"acc_norm_stderr": 0.013816335389973136
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7196531791907514,
"acc_stderr": 0.024182427496577615,
"acc_norm": 0.7196531791907514,
"acc_norm_stderr": 0.024182427496577615
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.3139664804469274,
"acc_stderr": 0.015521923933523642,
"acc_norm": 0.3139664804469274,
"acc_norm_stderr": 0.015521923933523642
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7581699346405228,
"acc_stderr": 0.024518195641879334,
"acc_norm": 0.7581699346405228,
"acc_norm_stderr": 0.024518195641879334
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7009646302250804,
"acc_stderr": 0.02600330111788514,
"acc_norm": 0.7009646302250804,
"acc_norm_stderr": 0.02600330111788514
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7283950617283951,
"acc_stderr": 0.02474862449053737,
"acc_norm": 0.7283950617283951,
"acc_norm_stderr": 0.02474862449053737
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.48226950354609927,
"acc_stderr": 0.02980873964223777,
"acc_norm": 0.48226950354609927,
"acc_norm_stderr": 0.02980873964223777
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.4426336375488918,
"acc_stderr": 0.012685906538206242,
"acc_norm": 0.4426336375488918,
"acc_norm_stderr": 0.012685906538206242
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6801470588235294,
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"harness|winogrande|5": {
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"harness|gsm8k|5": {
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
mariosasko/test | mariosasko | 2023-12-04T16:08:13Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T16:07:40Z | ---
dataset_info:
features:
- name: foo
dtype: int64
splits:
- name: train
num_bytes: 24
num_examples: 3
download_size: 842
dataset_size: 24
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
laion/gpt4v-dataset | laion | 2023-12-04T16:50:10Z | 620 | 41 | [
"license:cc0-1.0",
"region:us"
]
| null | 2023-10-09T08:49:58Z | ---
license: cc0-1.0
dataset_info:
features:
- name: link
dtype: string
- name: caption
dtype: string
- name: message_id
dtype: string
- name: timestamp
dtype: string
- name: image
dtype: 'null'
splits:
- name: train
num_bytes: 13170765
num_examples: 12356
download_size: 7339665
dataset_size: 13170765
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
open-llm-leaderboard/details_huggyllama__llama-7b | open-llm-leaderboard | 2023-12-04T17:43:25Z | 473 | 0 | [
"region:us"
]
| null | 2023-08-19T21:59:59Z | ---
pretty_name: Evaluation run of huggyllama/llama-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the [Open\
\ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 121 configuration, each one coresponding to one of\
\ the evaluated task.\n\nThe dataset has been created from 4 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_huggyllama__llama-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T17:40:08.047341](https://huggingface.co/datasets/open-llm-leaderboard/details_huggyllama__llama-7b/blob/main/results_2023-12-04T17-40-08.047341.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\": 0.3638062313864483,\n\
\ \"acc_stderr\": 0.03380549659651447,\n \"acc_norm\": 0.36665596869333805,\n\
\ \"acc_norm_stderr\": 0.03459622436501482,\n \"mc1\": 0.2215422276621787,\n\
\ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.3432793294414406,\n\
\ \"mc2_stderr\": 0.01318846106276968\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.47696245733788395,\n \"acc_stderr\": 0.014595873205358267,\n\
\ \"acc_norm\": 0.5093856655290102,\n \"acc_norm_stderr\": 0.014608816322065\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5753833897629954,\n\
\ \"acc_stderr\": 0.004932745013072713,\n \"acc_norm\": 0.7781318462457678,\n\
\ \"acc_norm_stderr\": 0.004146537488135709\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768081,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768081\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3851851851851852,\n\
\ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.3851851851851852,\n\
\ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.34210526315789475,\n \"acc_stderr\": 0.03860731599316092,\n\
\ \"acc_norm\": 0.34210526315789475,\n \"acc_norm_stderr\": 0.03860731599316092\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.35471698113207545,\n \"acc_stderr\": 0.02944517532819959,\n\
\ \"acc_norm\": 0.35471698113207545,\n \"acc_norm_stderr\": 0.02944517532819959\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.375,\n\
\ \"acc_stderr\": 0.04048439222695598,\n \"acc_norm\": 0.375,\n \
\ \"acc_norm_stderr\": 0.04048439222695598\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n\
\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.33,\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\": 0.3352601156069364,\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\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171451,\n\
\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171451\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.3702127659574468,\n \"acc_stderr\": 0.03156564682236785,\n\
\ \"acc_norm\": 0.3702127659574468,\n \"acc_norm_stderr\": 0.03156564682236785\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\
\ \"acc_stderr\": 0.04142439719489362,\n \"acc_norm\": 0.2631578947368421,\n\
\ \"acc_norm_stderr\": 0.04142439719489362\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.22758620689655173,\n \"acc_stderr\": 0.03493950380131184,\n\
\ \"acc_norm\": 0.22758620689655173,\n \"acc_norm_stderr\": 0.03493950380131184\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2619047619047619,\n \"acc_stderr\": 0.022644212615525214,\n \"\
acc_norm\": 0.2619047619047619,\n \"acc_norm_stderr\": 0.022644212615525214\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\": 0.31,\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\": 0.33225806451612905,\n\
\ \"acc_stderr\": 0.0267955608481228,\n \"acc_norm\": 0.33225806451612905,\n\
\ \"acc_norm_stderr\": 0.0267955608481228\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.30049261083743845,\n \"acc_stderr\": 0.03225799476233485,\n\
\ \"acc_norm\": 0.30049261083743845,\n \"acc_norm_stderr\": 0.03225799476233485\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\
: {\n \"acc\": 0.43636363636363634,\n \"acc_stderr\": 0.03872592983524754,\n\
\ \"acc_norm\": 0.43636363636363634,\n \"acc_norm_stderr\": 0.03872592983524754\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.3333333333333333,\n \"acc_stderr\": 0.03358618145732522,\n \"\
acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.03358618145732522\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.44559585492227977,\n \"acc_stderr\": 0.0358701498607566,\n\
\ \"acc_norm\": 0.44559585492227977,\n \"acc_norm_stderr\": 0.0358701498607566\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.3435897435897436,\n \"acc_stderr\": 0.024078696580635477,\n\
\ \"acc_norm\": 0.3435897435897436,\n \"acc_norm_stderr\": 0.024078696580635477\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.25925925925925924,\n \"acc_stderr\": 0.026719240783712173,\n \
\ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.026719240783712173\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.33613445378151263,\n \"acc_stderr\": 0.030684737115135363,\n\
\ \"acc_norm\": 0.33613445378151263,\n \"acc_norm_stderr\": 0.030684737115135363\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.26490066225165565,\n \"acc_stderr\": 0.036030385453603854,\n \"\
acc_norm\": 0.26490066225165565,\n \"acc_norm_stderr\": 0.036030385453603854\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.47339449541284406,\n \"acc_stderr\": 0.02140695268815159,\n \"\
acc_norm\": 0.47339449541284406,\n \"acc_norm_stderr\": 0.02140695268815159\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3055555555555556,\n \"acc_stderr\": 0.031415546294025445,\n \"\
acc_norm\": 0.3055555555555556,\n \"acc_norm_stderr\": 0.031415546294025445\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.35784313725490197,\n \"acc_stderr\": 0.03364487286088299,\n \"\
acc_norm\": 0.35784313725490197,\n \"acc_norm_stderr\": 0.03364487286088299\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.43037974683544306,\n \"acc_stderr\": 0.03223017195937598,\n \
\ \"acc_norm\": 0.43037974683544306,\n \"acc_norm_stderr\": 0.03223017195937598\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.39461883408071746,\n\
\ \"acc_stderr\": 0.03280400504755291,\n \"acc_norm\": 0.39461883408071746,\n\
\ \"acc_norm_stderr\": 0.03280400504755291\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.3511450381679389,\n \"acc_stderr\": 0.0418644516301375,\n\
\ \"acc_norm\": 0.3511450381679389,\n \"acc_norm_stderr\": 0.0418644516301375\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.5206611570247934,\n \"acc_stderr\": 0.04560456086387235,\n \"\
acc_norm\": 0.5206611570247934,\n \"acc_norm_stderr\": 0.04560456086387235\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.4166666666666667,\n\
\ \"acc_stderr\": 0.04766075165356461,\n \"acc_norm\": 0.4166666666666667,\n\
\ \"acc_norm_stderr\": 0.04766075165356461\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.4294478527607362,\n \"acc_stderr\": 0.038890666191127216,\n\
\ \"acc_norm\": 0.4294478527607362,\n \"acc_norm_stderr\": 0.038890666191127216\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2767857142857143,\n\
\ \"acc_stderr\": 0.042466243366976256,\n \"acc_norm\": 0.2767857142857143,\n\
\ \"acc_norm_stderr\": 0.042466243366976256\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.3300970873786408,\n \"acc_stderr\": 0.046561471100123514,\n\
\ \"acc_norm\": 0.3300970873786408,\n \"acc_norm_stderr\": 0.046561471100123514\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.47863247863247865,\n\
\ \"acc_stderr\": 0.03272616447634954,\n \"acc_norm\": 0.47863247863247865,\n\
\ \"acc_norm_stderr\": 0.03272616447634954\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.42528735632183906,\n\
\ \"acc_stderr\": 0.017679225489431447,\n \"acc_norm\": 0.42528735632183906,\n\
\ \"acc_norm_stderr\": 0.017679225489431447\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.3959537572254335,\n \"acc_stderr\": 0.02632981334194625,\n\
\ \"acc_norm\": 0.3959537572254335,\n \"acc_norm_stderr\": 0.02632981334194625\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\": 0.3888888888888889,\n \"acc_stderr\": 0.02791405551046801,\n\
\ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02791405551046801\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.3954983922829582,\n\
\ \"acc_stderr\": 0.027770918531427834,\n \"acc_norm\": 0.3954983922829582,\n\
\ \"acc_norm_stderr\": 0.027770918531427834\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.345679012345679,\n \"acc_stderr\": 0.026462487777001883,\n\
\ \"acc_norm\": 0.345679012345679,\n \"acc_norm_stderr\": 0.026462487777001883\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.2695035460992908,\n \"acc_stderr\": 0.026469036818590624,\n \
\ \"acc_norm\": 0.2695035460992908,\n \"acc_norm_stderr\": 0.026469036818590624\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.29595827900912647,\n\
\ \"acc_stderr\": 0.011658518525277054,\n \"acc_norm\": 0.29595827900912647,\n\
\ \"acc_norm_stderr\": 0.011658518525277054\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.030161911930767102,\n\
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.030161911930767102\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.35784313725490197,\n \"acc_stderr\": 0.019393058402355442,\n \
\ \"acc_norm\": 0.35784313725490197,\n \"acc_norm_stderr\": 0.019393058402355442\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.41818181818181815,\n\
\ \"acc_stderr\": 0.0472457740573157,\n \"acc_norm\": 0.41818181818181815,\n\
\ \"acc_norm_stderr\": 0.0472457740573157\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.34285714285714286,\n \"acc_stderr\": 0.030387262919547728,\n\
\ \"acc_norm\": 0.34285714285714286,\n \"acc_norm_stderr\": 0.030387262919547728\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.46766169154228854,\n\
\ \"acc_stderr\": 0.035281314729336065,\n \"acc_norm\": 0.46766169154228854,\n\
\ \"acc_norm_stderr\": 0.035281314729336065\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.3433734939759036,\n\
\ \"acc_stderr\": 0.03696584317010601,\n \"acc_norm\": 0.3433734939759036,\n\
\ \"acc_norm_stderr\": 0.03696584317010601\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.4853801169590643,\n \"acc_stderr\": 0.038331852752130205,\n\
\ \"acc_norm\": 0.4853801169590643,\n \"acc_norm_stderr\": 0.038331852752130205\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2215422276621787,\n\
\ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.3432793294414406,\n\
\ \"mc2_stderr\": 0.01318846106276968\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.012696531870038616\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0803639120545868,\n \
\ \"acc_stderr\": 0.007488258573239077\n }\n}\n```"
repo_url: https://huggingface.co/huggyllama/llama-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_08_19T21_59_42.894030
path:
- '**/details_harness|arc:challenge|25_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|arc:challenge|25_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- '**/details_harness|hellaswag|10_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|hellaswag|10_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-19T21:59:42.894030.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-23T16:59:33.663836.parquet'
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- '**/details_harness|hendrycksTest-global_facts|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-23T16:59:33.663836.parquet'
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-23T16:59:33.663836.parquet'
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- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-23T16:59:33.663836.parquet'
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- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-23T16:59:33.663836.parquet'
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- '**/details_harness|hendrycksTest-security_studies|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-23T16:59:33.663836.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-40-08.047341.parquet'
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- split: latest
path:
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-40-08.047341.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-40-08.047341.parquet'
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-40-08.047341.parquet'
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- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
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path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-19T21:59:42.894030.parquet'
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path:
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- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
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path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-19T21:59:42.894030.parquet'
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path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-19T21:59:42.894030.parquet'
- split: 2023_08_23T16_59_33.663836
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T16:59:33.663836.parquet'
- split: 2023_12_04T17_40_08.047341
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-40-08.047341.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-40-08.047341.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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data_files:
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data_files:
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- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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path:
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path:
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data_files:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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path:
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data_files:
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path:
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data_files:
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data_files:
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path:
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path:
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data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:high_school_world_history|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:high_school_world_history|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_human_aging_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:human_aging|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:human_aging|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_human_sexuality_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:human_sexuality|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:human_sexuality|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_international_law_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:international_law|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:international_law|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_jurisprudence_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:jurisprudence|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:jurisprudence|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_logical_fallacies_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:logical_fallacies|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:logical_fallacies|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_machine_learning_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:machine_learning|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:machine_learning|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_management_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:management|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:management|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_marketing_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:marketing|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:marketing|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_medical_genetics_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:medical_genetics|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:medical_genetics|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_miscellaneous_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:miscellaneous|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:miscellaneous|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_moral_disputes_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:moral_disputes|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:moral_disputes|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_moral_scenarios_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:moral_scenarios|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:moral_scenarios|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_nutrition_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:nutrition|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:nutrition|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_philosophy_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:philosophy|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:philosophy|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_prehistory_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:prehistory|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:prehistory|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_professional_accounting_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:professional_accounting|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_accounting|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_professional_law_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:professional_law|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_law|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_professional_medicine_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:professional_medicine|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_medicine|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_professional_psychology_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:professional_psychology|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_psychology|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_public_relations_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:public_relations|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:public_relations|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_security_studies_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:security_studies|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:security_studies|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_sociology_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:sociology|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:sociology|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_us_foreign_policy_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:us_foreign_policy|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:us_foreign_policy|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_virology_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:virology|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:virology|5_2023-08-28T19:48:59.844014.parquet'
- config_name: original_mmlu_world_religions_5
data_files:
- split: 2023_08_28T19_48_59.844014
path:
- '**/details_original|mmlu:world_religions|5_2023-08-28T19:48:59.844014.parquet'
- split: latest
path:
- '**/details_original|mmlu:world_religions|5_2023-08-28T19:48:59.844014.parquet'
- config_name: results
data_files:
- split: 2023_08_19T21_59_42.894030
path:
- results_2023-08-19T21:59:42.894030.parquet
- split: 2023_08_23T16_59_33.663836
path:
- results_2023-08-23T16:59:33.663836.parquet
- split: 2023_08_28T19_48_59.844014
path:
- results_2023-08-28T19:48:59.844014.parquet
- split: 2023_12_04T17_40_08.047341
path:
- results_2023-12-04T17-40-08.047341.parquet
- split: latest
path:
- results_2023-12-04T17-40-08.047341.parquet
---
# Dataset Card for Evaluation run of huggyllama/llama-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/huggyllama/llama-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 121 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 4 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_huggyllama__llama-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T17:40:08.047341](https://huggingface.co/datasets/open-llm-leaderboard/details_huggyllama__llama-7b/blob/main/results_2023-12-04T17-40-08.047341.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": 0.3638062313864483,
"acc_stderr": 0.03380549659651447,
"acc_norm": 0.36665596869333805,
"acc_norm_stderr": 0.03459622436501482,
"mc1": 0.2215422276621787,
"mc1_stderr": 0.014537867601301137,
"mc2": 0.3432793294414406,
"mc2_stderr": 0.01318846106276968
},
"harness|arc:challenge|25": {
"acc": 0.47696245733788395,
"acc_stderr": 0.014595873205358267,
"acc_norm": 0.5093856655290102,
"acc_norm_stderr": 0.014608816322065
},
"harness|hellaswag|10": {
"acc": 0.5753833897629954,
"acc_stderr": 0.004932745013072713,
"acc_norm": 0.7781318462457678,
"acc_norm_stderr": 0.004146537488135709
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768081,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768081
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.3851851851851852,
"acc_stderr": 0.042039210401562783,
"acc_norm": 0.3851851851851852,
"acc_norm_stderr": 0.042039210401562783
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.34210526315789475,
"acc_stderr": 0.03860731599316092,
"acc_norm": 0.34210526315789475,
"acc_norm_stderr": 0.03860731599316092
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.41,
"acc_stderr": 0.049431107042371025,
"acc_norm": 0.41,
"acc_norm_stderr": 0.049431107042371025
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.35471698113207545,
"acc_stderr": 0.02944517532819959,
"acc_norm": 0.35471698113207545,
"acc_norm_stderr": 0.02944517532819959
},
"harness|hendrycksTest-college_biology|5": {
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"acc_stderr": 0.04048439222695598,
"acc_norm": 0.375,
"acc_norm_stderr": 0.04048439222695598
},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252604,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252604
},
"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": 0.23529411764705882,
"acc_stderr": 0.04220773659171451,
"acc_norm": 0.23529411764705882,
"acc_norm_stderr": 0.04220773659171451
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.3702127659574468,
"acc_stderr": 0.03156564682236785,
"acc_norm": 0.3702127659574468,
"acc_norm_stderr": 0.03156564682236785
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.04142439719489362,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.04142439719489362
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.22758620689655173,
"acc_stderr": 0.03493950380131184,
"acc_norm": 0.22758620689655173,
"acc_norm_stderr": 0.03493950380131184
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2619047619047619,
"acc_stderr": 0.022644212615525214,
"acc_norm": 0.2619047619047619,
"acc_norm_stderr": 0.022644212615525214
},
"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": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.33225806451612905,
"acc_stderr": 0.0267955608481228,
"acc_norm": 0.33225806451612905,
"acc_norm_stderr": 0.0267955608481228
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.30049261083743845,
"acc_stderr": 0.03225799476233485,
"acc_norm": 0.30049261083743845,
"acc_norm_stderr": 0.03225799476233485
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.43636363636363634,
"acc_stderr": 0.03872592983524754,
"acc_norm": 0.43636363636363634,
"acc_norm_stderr": 0.03872592983524754
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.3333333333333333,
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"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.03358618145732522
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.44559585492227977,
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"acc_norm": 0.44559585492227977,
"acc_norm_stderr": 0.0358701498607566
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.3435897435897436,
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"acc_norm": 0.3435897435897436,
"acc_norm_stderr": 0.024078696580635477
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.25925925925925924,
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"acc_norm": 0.25925925925925924,
"acc_norm_stderr": 0.026719240783712173
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.33613445378151263,
"acc_stderr": 0.030684737115135363,
"acc_norm": 0.33613445378151263,
"acc_norm_stderr": 0.030684737115135363
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.26490066225165565,
"acc_stderr": 0.036030385453603854,
"acc_norm": 0.26490066225165565,
"acc_norm_stderr": 0.036030385453603854
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.47339449541284406,
"acc_stderr": 0.02140695268815159,
"acc_norm": 0.47339449541284406,
"acc_norm_stderr": 0.02140695268815159
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.3055555555555556,
"acc_stderr": 0.031415546294025445,
"acc_norm": 0.3055555555555556,
"acc_norm_stderr": 0.031415546294025445
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.35784313725490197,
"acc_stderr": 0.03364487286088299,
"acc_norm": 0.35784313725490197,
"acc_norm_stderr": 0.03364487286088299
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.43037974683544306,
"acc_stderr": 0.03223017195937598,
"acc_norm": 0.43037974683544306,
"acc_norm_stderr": 0.03223017195937598
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.39461883408071746,
"acc_stderr": 0.03280400504755291,
"acc_norm": 0.39461883408071746,
"acc_norm_stderr": 0.03280400504755291
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.3511450381679389,
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"acc_norm": 0.3511450381679389,
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},
"harness|hendrycksTest-international_law|5": {
"acc": 0.5206611570247934,
"acc_stderr": 0.04560456086387235,
"acc_norm": 0.5206611570247934,
"acc_norm_stderr": 0.04560456086387235
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.4166666666666667,
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"acc_norm": 0.4166666666666667,
"acc_norm_stderr": 0.04766075165356461
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.4294478527607362,
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"acc_norm": 0.4294478527607362,
"acc_norm_stderr": 0.038890666191127216
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.2767857142857143,
"acc_stderr": 0.042466243366976256,
"acc_norm": 0.2767857142857143,
"acc_norm_stderr": 0.042466243366976256
},
"harness|hendrycksTest-management|5": {
"acc": 0.3300970873786408,
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_mosaicml__mpt-30b | open-llm-leaderboard | 2023-12-04T21:19:47Z | 450 | 0 | [
"region:us"
]
| null | 2023-08-18T00:00:27Z | ---
pretty_name: Evaluation run of mosaicml/mpt-30b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [mosaicml/mpt-30b](https://huggingface.co/mosaicml/mpt-30b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 121 configuration, each one coresponding to one of\
\ the evaluated task.\n\nThe dataset has been created from 3 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_mosaicml__mpt-30b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T21:16:10.122572](https://huggingface.co/datasets/open-llm-leaderboard/details_mosaicml__mpt-30b/blob/main/results_2023-12-04T21-16-10.122572.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\": 0.48238773450038697,\n\
\ \"acc_stderr\": 0.03469207472678917,\n \"acc_norm\": 0.48716827364491283,\n\
\ \"acc_norm_stderr\": 0.03546745870449251,\n \"mc1\": 0.2582619339045288,\n\
\ \"mc1_stderr\": 0.015321821688476196,\n \"mc2\": 0.3841558252351552,\n\
\ \"mc2_stderr\": 0.013607507438444062\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5290102389078498,\n \"acc_stderr\": 0.014586776355294317,\n\
\ \"acc_norm\": 0.5597269624573379,\n \"acc_norm_stderr\": 0.014506769524804237\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6195976897032464,\n\
\ \"acc_stderr\": 0.004844935327599206,\n \"acc_norm\": 0.8242381995618403,\n\
\ \"acc_norm_stderr\": 0.0037983950550215346\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\": 0.4888888888888889,\n\
\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.4888888888888889,\n\
\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.40789473684210525,\n \"acc_stderr\": 0.03999309712777471,\n\
\ \"acc_norm\": 0.40789473684210525,\n \"acc_norm_stderr\": 0.03999309712777471\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.4867924528301887,\n \"acc_stderr\": 0.030762134874500476,\n\
\ \"acc_norm\": 0.4867924528301887,\n \"acc_norm_stderr\": 0.030762134874500476\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5138888888888888,\n\
\ \"acc_stderr\": 0.04179596617581,\n \"acc_norm\": 0.5138888888888888,\n\
\ \"acc_norm_stderr\": 0.04179596617581\n },\n \"harness|hendrycksTest-college_chemistry|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_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\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
\ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4508670520231214,\n\
\ \"acc_stderr\": 0.037940126746970275,\n \"acc_norm\": 0.4508670520231214,\n\
\ \"acc_norm_stderr\": 0.037940126746970275\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.045766654032077636,\n\
\ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.045766654032077636\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.41702127659574467,\n \"acc_stderr\": 0.03223276266711712,\n\
\ \"acc_norm\": 0.41702127659574467,\n \"acc_norm_stderr\": 0.03223276266711712\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.3306878306878307,\n \"acc_stderr\": 0.02422996529842509,\n \"\
acc_norm\": 0.3306878306878307,\n \"acc_norm_stderr\": 0.02422996529842509\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2857142857142857,\n\
\ \"acc_stderr\": 0.0404061017820884,\n \"acc_norm\": 0.2857142857142857,\n\
\ \"acc_norm_stderr\": 0.0404061017820884\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\"\
: 0.5419354838709678,\n \"acc_stderr\": 0.028343787250540632,\n \"\
acc_norm\": 0.5419354838709678,\n \"acc_norm_stderr\": 0.028343787250540632\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.35467980295566504,\n \"acc_stderr\": 0.0336612448905145,\n \"\
acc_norm\": 0.35467980295566504,\n \"acc_norm_stderr\": 0.0336612448905145\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\"\
: 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.03825460278380026,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.03825460278380026\n },\n\
\ \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\": 0.5959595959595959,\n\
\ \"acc_stderr\": 0.03496130972056128,\n \"acc_norm\": 0.5959595959595959,\n\
\ \"acc_norm_stderr\": 0.03496130972056128\n },\n \"harness|hendrycksTest-high_school_government_and_politics|5\"\
: {\n \"acc\": 0.6476683937823834,\n \"acc_stderr\": 0.03447478286414357,\n\
\ \"acc_norm\": 0.6476683937823834,\n \"acc_norm_stderr\": 0.03447478286414357\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.46923076923076923,\n \"acc_stderr\": 0.02530295889085015,\n\
\ \"acc_norm\": 0.46923076923076923,\n \"acc_norm_stderr\": 0.02530295889085015\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945284,\n \
\ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945284\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.0322529423239964,\n \
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.0322529423239964\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\"\
: 0.6770642201834862,\n \"acc_stderr\": 0.020048115923415315,\n \"\
acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.020048115923415315\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.36574074074074076,\n \"acc_stderr\": 0.03284738857647208,\n \"\
acc_norm\": 0.36574074074074076,\n \"acc_norm_stderr\": 0.03284738857647208\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.6666666666666666,\n \"acc_stderr\": 0.03308611113236436,\n \"\
acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.03308611113236436\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6708860759493671,\n \"acc_stderr\": 0.03058732629470236,\n \
\ \"acc_norm\": 0.6708860759493671,\n \"acc_norm_stderr\": 0.03058732629470236\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5381165919282511,\n\
\ \"acc_stderr\": 0.033460150119732274,\n \"acc_norm\": 0.5381165919282511,\n\
\ \"acc_norm_stderr\": 0.033460150119732274\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5343511450381679,\n \"acc_stderr\": 0.043749285605997376,\n\
\ \"acc_norm\": 0.5343511450381679,\n \"acc_norm_stderr\": 0.043749285605997376\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.4297520661157025,\n \"acc_stderr\": 0.04519082021319773,\n \"\
acc_norm\": 0.4297520661157025,\n \"acc_norm_stderr\": 0.04519082021319773\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.4722222222222222,\n\
\ \"acc_stderr\": 0.048262172941398944,\n \"acc_norm\": 0.4722222222222222,\n\
\ \"acc_norm_stderr\": 0.048262172941398944\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.4785276073619632,\n \"acc_stderr\": 0.0392474687675113,\n\
\ \"acc_norm\": 0.4785276073619632,\n \"acc_norm_stderr\": 0.0392474687675113\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\": 0.5631067961165048,\n \"acc_stderr\": 0.04911147107365777,\n\
\ \"acc_norm\": 0.5631067961165048,\n \"acc_norm_stderr\": 0.04911147107365777\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7136752136752137,\n\
\ \"acc_stderr\": 0.029614323690456655,\n \"acc_norm\": 0.7136752136752137,\n\
\ \"acc_norm_stderr\": 0.029614323690456655\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.6871008939974457,\n\
\ \"acc_stderr\": 0.016580935940304038,\n \"acc_norm\": 0.6871008939974457,\n\
\ \"acc_norm_stderr\": 0.016580935940304038\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5115606936416185,\n \"acc_stderr\": 0.026911898686377913,\n\
\ \"acc_norm\": 0.5115606936416185,\n \"acc_norm_stderr\": 0.026911898686377913\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.26927374301675977,\n\
\ \"acc_stderr\": 0.014835616582882606,\n \"acc_norm\": 0.26927374301675977,\n\
\ \"acc_norm_stderr\": 0.014835616582882606\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5098039215686274,\n \"acc_stderr\": 0.02862441255016795,\n\
\ \"acc_norm\": 0.5098039215686274,\n \"acc_norm_stderr\": 0.02862441255016795\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5466237942122186,\n\
\ \"acc_stderr\": 0.028274359854894245,\n \"acc_norm\": 0.5466237942122186,\n\
\ \"acc_norm_stderr\": 0.028274359854894245\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5679012345679012,\n \"acc_stderr\": 0.02756301097160668,\n\
\ \"acc_norm\": 0.5679012345679012,\n \"acc_norm_stderr\": 0.02756301097160668\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.3617021276595745,\n \"acc_stderr\": 0.028663820147199492,\n \
\ \"acc_norm\": 0.3617021276595745,\n \"acc_norm_stderr\": 0.028663820147199492\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.37809647979139505,\n\
\ \"acc_stderr\": 0.012384878406798095,\n \"acc_norm\": 0.37809647979139505,\n\
\ \"acc_norm_stderr\": 0.012384878406798095\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.029520095697687765,\n\
\ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.029520095697687765\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.4526143790849673,\n \"acc_stderr\": 0.020136790918492534,\n \
\ \"acc_norm\": 0.4526143790849673,\n \"acc_norm_stderr\": 0.020136790918492534\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5727272727272728,\n\
\ \"acc_stderr\": 0.04738198703545483,\n \"acc_norm\": 0.5727272727272728,\n\
\ \"acc_norm_stderr\": 0.04738198703545483\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5510204081632653,\n \"acc_stderr\": 0.03184213866687579,\n\
\ \"acc_norm\": 0.5510204081632653,\n \"acc_norm_stderr\": 0.03184213866687579\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5472636815920398,\n\
\ \"acc_stderr\": 0.035197027175769155,\n \"acc_norm\": 0.5472636815920398,\n\
\ \"acc_norm_stderr\": 0.035197027175769155\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.4457831325301205,\n\
\ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.4457831325301205,\n\
\ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.6783625730994152,\n \"acc_stderr\": 0.03582529442573122,\n\
\ \"acc_norm\": 0.6783625730994152,\n \"acc_norm_stderr\": 0.03582529442573122\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2582619339045288,\n\
\ \"mc1_stderr\": 0.015321821688476196,\n \"mc2\": 0.3841558252351552,\n\
\ \"mc2_stderr\": 0.013607507438444062\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7490134175217048,\n \"acc_stderr\": 0.01218577622051616\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.16906747536012132,\n \
\ \"acc_stderr\": 0.01032417144549735\n }\n}\n```"
repo_url: https://huggingface.co/mosaicml/mpt-30b
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_07_20T13_09_09.001286
path:
- '**/details_harness|arc:challenge|25_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|arc:challenge|25_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|gsm8k|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hellaswag|10_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hellaswag|10_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-07-20T13:09:09.001286.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T21-16-10.122572.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
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path:
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- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-management|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
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path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
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path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
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path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
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path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
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path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
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path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
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path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
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path:
- '**/details_harness|hendrycksTest-sociology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
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path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
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path:
- '**/details_harness|hendrycksTest-virology|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
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path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
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path:
- '**/details_harness|truthfulqa:mc|0_2023-07-20T13:09:09.001286.parquet'
- split: 2023_12_04T21_16_10.122572
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T21-16-10.122572.parquet'
- config_name: harness_winogrande_5
data_files:
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path:
- '**/details_harness|winogrande|5_2023-12-04T21-16-10.122572.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T21-16-10.122572.parquet'
- config_name: original_mmlu_5
data_files:
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path:
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- '**/details_original|mmlu:clinical_knowledge|5_2023-08-28T20:30:08.303629.parquet'
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- '**/details_original|mmlu:college_medicine|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:college_physics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:computer_security|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:conceptual_physics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:econometrics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:electrical_engineering|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:elementary_mathematics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:formal_logic|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:global_facts|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_biology|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_chemistry|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_computer_science|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_european_history|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_geography|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_government_and_politics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_macroeconomics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_mathematics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_microeconomics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_physics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_psychology|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_statistics|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_us_history|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:high_school_world_history|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:human_aging|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:human_sexuality|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:international_law|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:jurisprudence|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:logical_fallacies|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:machine_learning|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:management|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:marketing|5_2023-08-28T20:30:08.303629.parquet'
- '**/details_original|mmlu:medical_genetics|5_2023-08-28T20:30:08.303629.parquet'
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- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:jurisprudence|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:jurisprudence|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_logical_fallacies_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:logical_fallacies|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:logical_fallacies|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_machine_learning_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:machine_learning|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:machine_learning|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_management_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:management|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:management|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_marketing_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:marketing|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:marketing|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_medical_genetics_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:medical_genetics|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:medical_genetics|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_miscellaneous_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:miscellaneous|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:miscellaneous|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_moral_disputes_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:moral_disputes|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:moral_disputes|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_moral_scenarios_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:moral_scenarios|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:moral_scenarios|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_nutrition_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:nutrition|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:nutrition|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_philosophy_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:philosophy|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:philosophy|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_prehistory_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:prehistory|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:prehistory|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_professional_accounting_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:professional_accounting|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_accounting|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_professional_law_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:professional_law|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_law|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_professional_medicine_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:professional_medicine|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_medicine|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_professional_psychology_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:professional_psychology|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:professional_psychology|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_public_relations_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:public_relations|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:public_relations|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_security_studies_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:security_studies|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:security_studies|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_sociology_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:sociology|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:sociology|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_us_foreign_policy_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:us_foreign_policy|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:us_foreign_policy|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_virology_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:virology|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:virology|5_2023-08-28T20:30:08.303629.parquet'
- config_name: original_mmlu_world_religions_5
data_files:
- split: 2023_08_28T20_30_08.303629
path:
- '**/details_original|mmlu:world_religions|5_2023-08-28T20:30:08.303629.parquet'
- split: latest
path:
- '**/details_original|mmlu:world_religions|5_2023-08-28T20:30:08.303629.parquet'
- config_name: results
data_files:
- split: 2023_07_20T13_09_09.001286
path:
- results_2023-07-20T13:09:09.001286.parquet
- split: 2023_08_28T20_30_08.303629
path:
- results_2023-08-28T20:30:08.303629.parquet
- split: 2023_12_04T21_16_10.122572
path:
- results_2023-12-04T21-16-10.122572.parquet
- split: latest
path:
- results_2023-12-04T21-16-10.122572.parquet
---
# Dataset Card for Evaluation run of mosaicml/mpt-30b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/mosaicml/mpt-30b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [mosaicml/mpt-30b](https://huggingface.co/mosaicml/mpt-30b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 121 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 3 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_mosaicml__mpt-30b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T21:16:10.122572](https://huggingface.co/datasets/open-llm-leaderboard/details_mosaicml__mpt-30b/blob/main/results_2023-12-04T21-16-10.122572.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": 0.48238773450038697,
"acc_stderr": 0.03469207472678917,
"acc_norm": 0.48716827364491283,
"acc_norm_stderr": 0.03546745870449251,
"mc1": 0.2582619339045288,
"mc1_stderr": 0.015321821688476196,
"mc2": 0.3841558252351552,
"mc2_stderr": 0.013607507438444062
},
"harness|arc:challenge|25": {
"acc": 0.5290102389078498,
"acc_stderr": 0.014586776355294317,
"acc_norm": 0.5597269624573379,
"acc_norm_stderr": 0.014506769524804237
},
"harness|hellaswag|10": {
"acc": 0.6195976897032464,
"acc_stderr": 0.004844935327599206,
"acc_norm": 0.8242381995618403,
"acc_norm_stderr": 0.0037983950550215346
},
"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": 0.4888888888888889,
"acc_stderr": 0.04318275491977976,
"acc_norm": 0.4888888888888889,
"acc_norm_stderr": 0.04318275491977976
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.40789473684210525,
"acc_stderr": 0.03999309712777471,
"acc_norm": 0.40789473684210525,
"acc_norm_stderr": 0.03999309712777471
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.4867924528301887,
"acc_stderr": 0.030762134874500476,
"acc_norm": 0.4867924528301887,
"acc_norm_stderr": 0.030762134874500476
},
"harness|hendrycksTest-college_biology|5": {
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"acc_stderr": 0.04179596617581,
"acc_norm": 0.5138888888888888,
"acc_norm_stderr": 0.04179596617581
},
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"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_stderr": 0.049604496374885836,
"acc_norm": 0.42,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm_stderr": 0.0479372485441102
},
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},
"harness|hendrycksTest-college_physics|5": {
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"acc_norm": 0.30392156862745096,
"acc_norm_stderr": 0.045766654032077636
},
"harness|hendrycksTest-computer_security|5": {
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"acc_norm": 0.6,
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},
"harness|hendrycksTest-conceptual_physics|5": {
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"acc_norm": 0.41702127659574467,
"acc_norm_stderr": 0.03223276266711712
},
"harness|hendrycksTest-econometrics|5": {
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"acc_stderr": 0.04303684033537315,
"acc_norm": 0.2982456140350877,
"acc_norm_stderr": 0.04303684033537315
},
"harness|hendrycksTest-electrical_engineering|5": {
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"acc_norm": 0.5172413793103449,
"acc_norm_stderr": 0.04164188720169375
},
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"acc_norm": 0.3306878306878307,
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},
"harness|hendrycksTest-formal_logic|5": {
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"acc_norm": 0.2857142857142857,
"acc_norm_stderr": 0.0404061017820884
},
"harness|hendrycksTest-global_facts|5": {
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"acc_norm": 0.38,
"acc_norm_stderr": 0.048783173121456316
},
"harness|hendrycksTest-high_school_biology|5": {
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"acc_norm": 0.5419354838709678,
"acc_norm_stderr": 0.028343787250540632
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.35467980295566504,
"acc_stderr": 0.0336612448905145,
"acc_norm": 0.35467980295566504,
"acc_norm_stderr": 0.0336612448905145
},
"harness|hendrycksTest-high_school_computer_science|5": {
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"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.6,
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"acc_norm": 0.6,
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},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.5959595959595959,
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"acc_norm": 0.5959595959595959,
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},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.6476683937823834,
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"acc_norm": 0.6476683937823834,
"acc_norm_stderr": 0.03447478286414357
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc_norm_stderr": 0.02530295889085015
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.2814814814814815,
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"acc_norm": 0.2814814814814815,
"acc_norm_stderr": 0.027420019350945284
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.4411764705882353,
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"acc_norm": 0.4411764705882353,
"acc_norm_stderr": 0.0322529423239964
},
"harness|hendrycksTest-high_school_physics|5": {
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"acc_norm": 0.2980132450331126,
"acc_norm_stderr": 0.037345356767871984
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.6770642201834862,
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"acc_norm": 0.6770642201834862,
"acc_norm_stderr": 0.020048115923415315
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.36574074074074076,
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"acc_norm": 0.36574074074074076,
"acc_norm_stderr": 0.03284738857647208
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.6666666666666666,
"acc_stderr": 0.03308611113236436,
"acc_norm": 0.6666666666666666,
"acc_norm_stderr": 0.03308611113236436
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.6708860759493671,
"acc_stderr": 0.03058732629470236,
"acc_norm": 0.6708860759493671,
"acc_norm_stderr": 0.03058732629470236
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.5381165919282511,
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},
"harness|hendrycksTest-human_sexuality|5": {
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},
"harness|hendrycksTest-international_law|5": {
"acc": 0.4297520661157025,
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},
"harness|hendrycksTest-jurisprudence|5": {
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"acc_norm": 0.4722222222222222,
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},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.4785276073619632,
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"acc_norm": 0.4785276073619632,
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},
"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": 0.5631067961165048,
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"acc_norm": 0.5631067961165048,
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},
"harness|hendrycksTest-marketing|5": {
"acc": 0.7136752136752137,
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"acc_norm": 0.7136752136752137,
"acc_norm_stderr": 0.029614323690456655
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.5,
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"acc_norm": 0.5,
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},
"harness|hendrycksTest-miscellaneous|5": {
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},
"harness|hendrycksTest-moral_disputes|5": {
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"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.26927374301675977,
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"acc_norm": 0.26927374301675977,
"acc_norm_stderr": 0.014835616582882606
},
"harness|hendrycksTest-nutrition|5": {
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"acc_norm": 0.5098039215686274,
"acc_norm_stderr": 0.02862441255016795
},
"harness|hendrycksTest-philosophy|5": {
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"acc_norm": 0.5466237942122186,
"acc_norm_stderr": 0.028274359854894245
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"harness|hendrycksTest-prehistory|5": {
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"acc_norm": 0.5679012345679012,
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
yunusskeete/Carla-COCO-Object-Detection-Dataset | yunusskeete | 2023-12-04T23:57:01Z | 70 | 0 | [
"task_categories:object-detection",
"size_categories:n<1K",
"license:mit",
"region:us"
]
| [
"object-detection"
]
| 2023-11-30T10:41:12Z | ---
license: mit
task_categories:
- object-detection
size_categories:
- n<1K
---
# Carla-COCO-Object-Detection-Dataset-No-Images
**Hugging Face COCO-Style Labelled Dataset for Object Detection in Carla Simulator**
This dataset contains 1028 images, each 640x380 pixels, with corresponding publically accessible URLs.
The dataset is split into 249 test and 779 training examples.
The dataset was collected in Carla Simulator, driving around in autopilot mode in various environments (Town01, Town02, Town03, Town04, Town05) and saving every i-th frame.
The labels where then automatically generated using the semantic segmentation information.
**Available classes are:**
* Automobile (Car, Truck)
* Bike
* Motorbike
* Traffic light
* Traffic sign
**Example image:**

**Example annotated image:**

## Dataset Structure
### Data Instances
A data point comprises an image, its file name, its publically accessible URL, and its object annotations.
```json
{
"image_id": 14,
"width": 640,
"height": 380,
"file_name": "Town01_001860.png",
"url": "https: //github.com/yunusskeete/Carla-COCO-Object-Detection-Dataset/raw/master/images/train/Town01_001860.png",
"objects": {
"id": [1, 2],
"area": [41650, 150],
"bbox": [
[201, 205, 238, 175],
[363, 159, 6, 25]
],
"category": [1, 4]
}
}
```
### Data Fields
* **image_id**: the image id
* **width**: the image width
* **height**: the image height
* **objects**: a dictionary containing bounding box metadata for the objects present on the image
* **id**: the annotation id
* **area**: the area of the bounding box
* **bbox**: the object's bounding box (in the coco format)
* **category**: the object's category, with possible values including automobile (1), bike (2), motorbike (3), traffic_light (4) and traffic_sign (5)
## Contributions
This repo is a fork from [Carla-Object-Detection-Dataset](https://github.com/DanielHfnr/Carla-Object-Detection-Dataset).
Acknowledgements are made to [DanielHfnr](https://github.com/DanielHfnr) for the original data collection and dataset preparation. | [
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|
mmenendezg/pneumonia_x_ray | mmenendezg | 2023-12-05T00:01:34Z | 47 | 1 | [
"region:us"
]
| null | 2023-06-07T02:00:53Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': normal
'1': pneumonia
splits:
- name: train
num_bytes: 126906525.958
num_examples: 4187
- name: validation
num_bytes: 27684376.78
num_examples: 1045
- name: test
num_bytes: 16275405.0
num_examples: 624
download_size: 153423742
dataset_size: 170866307.738
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Chest X-Ray Pneumonia Dataset
This dataset contains chest x-ray images of independent patients that can be classified into `normal` (healthy) or `pneumonia` (diseased) patients.
This dataset is a processed version of the original `Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images` dataset provided by the *University of California San Diego*.
The dataset contains three splits:
- **Train**: 4187 images
- **Validation**: 1045 images
- **Test**: 624 images
The shape of the images is `[500, 500, 3]`, and the labels have two possible values:
- 0: **Normal**
- 1: **Pneumonia**
>**References**:
>
> - Kermany, Daniel; Zhang, Kang; Goldbaum, Michael (2018), “Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images”, Mendeley Data, V3, doi: 10.17632/rscbjbr9sj.3 | [
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|
AhmedSSabir/Textual-Image-Caption-Dataset | AhmedSSabir | 2023-12-04T18:02:59Z | 36 | 5 | [
"task_categories:image-to-text",
"task_categories:image-classification",
"task_categories:visual-question-answering",
"task_categories:sentence-similarity",
"language:en",
"image captioning",
"language grounding",
"visual semantic",
"semantic similarity",
"arxiv:2301.08784",
"arxiv:1408.5882",
"region:us"
]
| [
"image-to-text",
"image-classification",
"visual-question-answering",
"sentence-similarity"
]
| 2022-06-08T10:36:12Z | ---
task_categories:
- image-to-text
- image-classification
- visual-question-answering
- sentence-similarity
language:
- en
tags:
- image captioning
- language grounding
- visual semantic
- semantic similarity
pretty_name: ' image captioning language grounding visual semantic '
---
#### Update: OCT-2023 ###
Add v2 with recent SoTA model **swinV2 classifier** for both soft/*hard-label* visual_caption_cosine_score_v2 with _person_ label (0.2, 0.3 and 0.4)
# Introduction
Modern image captaining relies heavily on extracting knowledge, from images such as objects,
to capture the concept of static story in the image. In this paper, we propose a textual visual context dataset
for captioning, where the publicly available dataset COCO caption (Lin et al., 2014) has been extended with information
about the scene (such as objects in the image). Since this information has textual form, it can be used to leverage any NLP task,
such as text similarity or semantic relation methods, into captioning systems, either as an end-to-end training strategy or a post-processing based approach.
Please refer to [project page](https://sabirdvd.github.io/project_page/Dataset_2022/index.html) and [Github](https://github.com/ahmedssabir/Visual-Semantic-Relatedness-Dataset-for-Image-Captioning) for more information. [](https://arxiv.org/abs/2301.08784) [](https://ahmed.jp/project_page/Dataset_2022/index.html)
For quick start please have a look this [demo](https://github.com/ahmedssabir/Textual-Visual-Semantic-Dataset/blob/main/BERT_CNN_Visual_re_ranker_demo.ipynb) and [pre-trained model with th 0.2, 0.3, 0.4](https://huggingface.co/AhmedSSabir/BERT-CNN-Visual-Semantic)
# Overview
We enrich COCO-Caption with textual Visual Context information. We use ResNet152, CLIP,
and Faster R-CNN to extract object information for each image. We use three filter approaches
to ensure the quality of the dataset (1) Threshold: to filter out predictions where the object classifier
is not confident enough, and (2) semantic alignment with semantic similarity to remove duplicated objects.
(3) semantic relatedness score as soft-label: to guarantee the visual context and caption have a strong
relation. In particular, we use Sentence-RoBERTa-sts via cosine similarity to give a soft score, and then
we use a threshold to annotate the final label (if th ≥ 0.2, 0.3, 0.4 then 1,0). Finally, to take advantage
of the visual overlap between caption and visual context, and to extract global information, we use BERT followed by a shallow 1D-CNN (Kim, 2014)
to estimate the visual relatedness score.
<!--
## Dataset
(<a href="https://arxiv.org/abs/1408.5882">Kim, 2014</a>)
### Sample
```
|---------------+--------------+---------+---------------------------------------------------|
| VC1 | VC2 | VC3 | human annoated caption |
| ------------- | ----------- | --------| ------------------------------------------------- |
| cheeseburger | plate | hotdog | a plate with a hamburger fries and tomatoes |
| bakery | dining table | website | a table having tea and a cake on it |
| gown | groom | apron | its time to cut the cake at this couples wedding |
|---------------+--------------+---------+---------------------------------------------------|
```
-->
### Download
0. [Dowload Raw data with ID and Visual context](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> original dataset with related ID caption [train2014](https://cocodataset.org/#download)
1. [Downlod Data with cosine score](https://www.dropbox.com/s/55sit8ow9tems4u/visual_caption_cosine_score.zip?dl=0)-> soft cosine lable with **th** 0.2, 0.3, 0.4 and 0.5 and hardlabel [0,1]
2. [Dowload Overlaping visual with caption](https://www.dropbox.com/s/br8nhnlf4k2czo8/COCO_overlaping_dataset.txt?dl=0)-> Overlap visual context and the human annotated caption
3. [Download Dataset (tsv file)](https://www.dropbox.com/s/dh38xibtjpohbeg/train_all.zip?dl=0) 0.0-> raw data with hard lable without cosine similairty and with **th**reshold cosine sim degree of the relation beteween the visual and caption = 0.2, 0.3, 0.4
4. [Download Dataset GenderBias](https://www.dropbox.com/s/1wki0b0d21078mj/gender%20natural.zip?dl=0)-> man/woman replaced with person class label
For future work, we plan to extract the visual context from the caption (without using a visual classifier) and estimate the visual relatedness score by
employing unsupervised learning (i.e. contrastive learning). (work in progress)
1. [Download CC](https://www.dropbox.com/s/pc1uv2rf6nqdp57/CC_caption_40.txt.zip) -> Caption dataset from Conceptinal Caption (CC) 2M (2255927 captions)
2. [Download CC+wiki](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> CC+1M-wiki 3M (3255928)
3. [Download CC+wiki+COCO](https://www.dropbox.com/s/k7oqwr9a1a0h8x1/CC_caption_40%2Bwiki%2BCOCO.txt.zip) -> CC+wiki+COCO-Caption 3.5M (366984)
4. [Download COCO-caption+wiki](https://www.dropbox.com/s/wc4k677wp24kzhh/COCO%2Bwiki.txt.zip) -> COCO-caption +wiki 1.4M (1413915)
5. [Download COCO-caption+wiki+CC+8Mwiki](https://www.dropbox.com/s/xhfx32sjy2z5bpa/11M_wiki_7M%2BCC%2BCOCO.txt.zip) -> COCO-caption+wiki+CC+8Mwiki 11M (11541667)
## Citation
The details of this repo are described in the following paper. If you find this repo useful, please kindly cite it:
```bibtex
@article{sabir2023visual,
title={Visual Semantic Relatedness Dataset for Image Captioning},
author={Sabir, Ahmed and Moreno-Noguer, Francesc and Padr{\'o}, Llu{\'\i}s},
journal={arXiv preprint arXiv:2301.08784},
year={2023}
}
``` | [
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|
Kkordik/NovelQSI | Kkordik | 2023-12-04T21:42:28Z | 33 | 0 | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
]
| [
"question-answering"
]
| 2023-12-04T09:36:10Z | ---
license: apache-2.0
dataset_info:
features:
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 5783487.46716698
num_examples: 746
- name: test
num_bytes: 2480852.5328330207
num_examples: 320
download_size: 3519056
dataset_size: 8264340
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
task_categories:
- question-answering
language:
- en
pretty_name: NovelQSI
size_categories:
- n<1K
---
# This dataset includes TheGambler novel, reformated for QA QSI and is based on:
https://github.com/Priya22/project-dialogism-novel-corpus/tree/master/data
Thank you, autors of the original dataset!
## See all my research files at:
https://github.com/Kkordik/NovelQSI/tree/main | [
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|
TingChen-ppmc/Changsha_Dialect_Conversational_Speech_Corpus | TingChen-ppmc | 2023-12-04T17:02:36Z | 33 | 0 | [
"region:us"
]
| null | 2023-12-04T17:02:15Z | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: gender
dtype: string
- name: speaker_id
dtype: string
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 223664136.256
num_examples: 1488
download_size: 215320750
dataset_size: 223664136.256
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Changsha_Dialect_Conversational_Speech_Corpuss"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
daloopa/fashion-mnist-interview-test | daloopa | 2023-12-04T21:53:36Z | 30 | 0 | [
"region:us"
]
| null | 2023-12-04T19:53:27Z | ---
dataset_info:
features:
- name: image
dtype: image
splits:
- name: test
num_bytes: 1026244.0
num_examples: 2000
download_size: 982702
dataset_size: 1026244.0
---
# Dataset Card for "fashion-mnist-interview-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Parikshith/grow-1-monolingual-1m-ha-en-scored | Parikshith | 2023-12-04T17:51:07Z | 25 | 0 | [
"region:us"
]
| null | 2023-12-04T07:22:40Z | ---
dataset_info:
features:
- name: src
dtype: string
- name: mt
dtype: string
- name: score_wmt20-comet-qe-da
dtype: float64
- name: score_wmt21-comet-qe-da
dtype: float64
- name: score_wmt23-cometkiwi-da-xl
dtype: float64
splits:
- name: train
num_bytes: 291625402
num_examples: 1100000
download_size: 197067897
dataset_size: 291625402
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
BlahBlah314/PxCorpusV2 | BlahBlah314 | 2023-12-04T21:16:47Z | 25 | 0 | [
"region:us"
]
| null | 2023-12-04T21:15:33Z | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 431111517.83244705
num_examples: 1741
- name: test
num_bytes: 48660355.27855297
num_examples: 194
download_size: 454470379
dataset_size: 479771873.111
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
keirp/hungarian_national_hs_finals_exam | keirp | 2023-12-04T18:49:36Z | 24 | 14 | [
"region:us"
]
| null | 2023-11-13T22:48:34Z | ---
configs:
- config_name: default
data_files:
- split: test
path: test.csv
dataset_info:
features:
- name: Question
dtype: string
splits:
- name: test
num_bytes: 9300
num_examples: 33
download_size: 6283
dataset_size: 9300
---
# Testing Language Models on a Held-Out High School National Finals Exam
When xAI recently released [Grok-1](https://x.ai/), they evaluated it on the 2023 Hungarian national high school finals in mathematics, which was published after the training data cutoff for all the models in their evaluation. While MATH and GSM8k are the standard benchmarks for evaluating the mathematical abilities of large language models, **there are risks that modern models overfit to these datasets**, either from training directly on the test sets or from tuning the model hyperparameters to maximize test set performance. By evaluating on a truly held out test set, we can better guage the mathematical performance of these models.
We evaluate on the [2023 Hungarian national high school finals in mathematics](https://dload-oktatas.educatio.hu/erettsegi/feladatok_2023tavasz_kozep/k_matang_23maj_fl.pdf) and grade by hand using [the provided rubric](https://dload-oktatas.educatio.hu/erettsegi/feladatok_2023tavasz_kozep/k_matang_23maj_ut.pdf). All model solutions were graded by myself over the course of one day. Model solutions were sampled using temperature 0.1.
For base models such as Code Llama, Llemma, and Mistral-7B, a 5-shot prompt was used. For instruction tuned models, we used the default prompt template for that model.
## Results
**Note**: In an earlier version of the LaTeX transcription of the exam, question 14a had incorrect formatting and question 14b did not contain all the required information to solve the problem. These issues have been fixed and the numbers are updated.
| Model | Exam Score | GSM8k | MATH |
| ------------------------------------------------------------------------------ | ---------- | ------ | ------ |
| [Code Llama 7B](https://huggingface.co/codellama/CodeLlama-7b-hf) (few-shot) | 8\% | 10.5% | 4.5% |
| [MetaMath 7B](https://huggingface.co/meta-math/MetaMath-7B-V1.0) | 20\% | 66.5\% | 19.8\% |
| [MAmmoTH 7B](https://huggingface.co/TIGER-Lab/MAmmoTH-7B) | 17\% | 50.5\% | 10.4\% |
| [MAmmoTH Coder 7B](https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-7B) | 11\% | 22.5\% | 7.9\% |
| [Llemma 7B](https://huggingface.co/EleutherAI/llemma_7b) (few-shot) | 23\% | 36.4\% | 18\% |
| - | - | - | - |
| [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) (few-shot) | 22\% | 39.2\% | - |
| [MetaMath Mistral 7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) | 29\% | 77.7\% | 28.2\% |
| [OpenChat 3.5](https://huggingface.co/openchat/openchat_3.5) | 37\% | 77.3\% | 28.6\% |
| - | - | - | - |
| [Code Llama 34B](https://huggingface.co/codellama/CodeLlama-34b-hf) (few-shot) | 15\% | 29.6\% | 12.2\% |
| [MAmmoTH Coder 34B](https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-34B) | 17\% | 34.3\% | 11.6\% |
| [Llemma 34B](https://huggingface.co/EleutherAI/llemma_34b) (few-shot) | 43\% | 51.5\% | 25.0\% |
| - | - | - | - |
| [Qwen 7B](https://huggingface.co/eleutherai/qwen-7b) | 22\% | 51.7\% | 11.6\% |
| - | - | - | - |
| [Cohere Command](https://cohere.com/) | 18\% | - | - |
| [GPT-3.5 Turbo](https://openai.com/) | 41\% | 57.1\% | 23.5\% |
| [GPT-4](https://openai.com/) | 68\% | 92.0\% | 42.5\% |
| [Claude 2](https://www.anthropic.com/) | 55\% | 88.0\% | - |
| [Grok-0 (33B)](https://x.ai/) | 37\% | 56.8\% | 15.7\% |
| [Grok-1](https://x.ai/) | 59\% | 62.9\% | 23.9\% |
## Observations
1. Plotting GSM8k performance versus performance on the exam, we can see clear evidence that several models overfit to the benchmark.

2. Despite [claiming](https://huggingface.co/openchat/openchat_3.5#comparison-with-xai-grok-models) that OpenChat 3.5 is competitive with Grok-1, it only gets around half the score on the held-out exam, indicating that is simply overfits to evaluations.
3. Llemma 34B is competitive with GPT-3.5 Turbo on the held-out exam. Further instruction tuning Llemma 34B should give even greater performance.
## Solutions
Please find model solutions and corresponding grades in the `solutions` folder.
## Running the Evaluation
To run the evaluation, run the following command:
```bash
python run_exam.py --model EleutherAI/llemma_34b --exam test/exam.csv --prompt few_shot
```
## Notes on Grading
There are a few problems which either require creating or reading a figure. For these problems, I graded the model solutions as incorrect. In the future when models have these abilities, this should be changed.
## Citation
To cite this article, use the following citation:
```bibtex
@misc{testing_language_models_on_a_held_out_high_school_national_finals_exam,
title={Testing Language Models on a Held-Out High School National Finals Exam},
author={Keiran Paster},
howpublished={\url{https://huggingface.co/datasets/keirp/hungarian_national_hs_finals_exam}},
journal = {HuggingFace repository},
year={2023},
}
```
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|
aghent/copiapoa-semantic-v2 | aghent | 2023-12-04T19:01:08Z | 22 | 0 | [
"region:us"
]
| null | 2023-12-02T22:33:38Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 138086316.0
num_examples: 10000
download_size: 134668164
dataset_size: 138086316.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "copiapoa-semantic-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
peterandrew987/train-indo-squad-v2-test | peterandrew987 | 2023-12-05T01:00:17Z | 20 | 0 | [
"task_categories:question-answering",
"region:us"
]
| [
"question-answering"
]
| 2023-12-04T14:17:37Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
dtype: int64
- name: text
dtype: string
- name: indonesian_answers
struct:
- name: answer_end
dtype: int64
- name: answer_start
dtype: int64
- name: text
dtype: string
- name: postags
sequence:
sequence:
sequence: string
splits:
- name: train
num_bytes: 13534958
num_examples: 10925
download_size: 1875464
dataset_size: 13534958
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- question-answering
---
# Dataset Card for "train-indo-squad-v2-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
AlekseyKorshuk/gambling-rewritten-new-1230-serp-chat-prompt | AlekseyKorshuk | 2023-12-04T20:52:34Z | 16 | 0 | [
"region:us"
]
| null | 2023-12-04T20:52:31Z | ---
dataset_info:
features:
- name: input_text
dtype: string
- name: output_text
dtype: string
splits:
- name: train
num_bytes: 15306818
num_examples: 1230
download_size: 8401374
dataset_size: 15306818
---
# Dataset Card for "gambling-rewritten-new-1230-serp-chat-prompt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
celinelee/thestack_omp | celinelee | 2023-12-04T19:52:10Z | 14 | 0 | [
"region:us"
]
| null | 2023-12-04T03:44:36Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: c
dtype: string
splits:
- name: train
num_bytes: 2214853376.8
num_examples: 76232
- name: valid
num_bytes: 276856672.1
num_examples: 9529
- name: test
num_bytes: 276856672.1
num_examples: 9529
download_size: 828673457
dataset_size: 2768566721.0
---
# Dataset Card for "thestack_omp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ashiyakatuka11/c1_dataset | ashiyakatuka11 | 2023-12-04T18:16:50Z | 13 | 0 | [
"region:us"
]
| null | 2023-12-04T17:10:16Z | ---
dataset_info:
features:
- name: Session_ID
dtype: int64
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 483664
num_examples: 5084
- name: test
num_bytes: 121307
num_examples: 1121
download_size: 218841
dataset_size: 604971
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ashiyakatuka11/c2_dataset | ashiyakatuka11 | 2023-12-04T18:16:56Z | 13 | 0 | [
"region:us"
]
| null | 2023-12-04T17:10:19Z | ---
dataset_info:
features:
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: Session_ID
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 208820
num_examples: 2535
- name: test
num_bytes: 71170
num_examples: 866
download_size: 100553
dataset_size: 279990
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ashiyakatuka11/c1_c2_combo_dataset | ashiyakatuka11 | 2023-12-04T18:17:02Z | 13 | 0 | [
"region:us"
]
| null | 2023-12-04T17:10:21Z | ---
dataset_info:
features:
- name: Session_ID
dtype: string
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 2424284
num_examples: 7619
- name: test
num_bytes: 643487
num_examples: 1987
download_size: 323683
dataset_size: 3067771
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
sordonia/adauni-v3-flat | sordonia | 2023-12-04T19:20:29Z | 13 | 0 | [
"region:us"
]
| null | 2023-12-04T17:43:06Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: target
dtype: string
- name: task_name
dtype: string
- name: task_source
dtype: string
- name: split
dtype: string
splits:
- name: train
num_bytes: 6757401067.024297
num_examples: 4398987
download_size: 4178100953
dataset_size: 6757401067.024297
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "adauni-v3-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
krismaglasang/github-issues | krismaglasang | 2023-12-04T22:28:12Z | 13 | 0 | [
"region:us"
]
| null | 2023-12-04T21:07:40Z | ---
dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: labels
list:
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: id
dtype: int64
- name: name
dtype: string
- name: node_id
dtype: string
- name: url
dtype: string
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
dtype: float64
- name: assignees
list:
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dtype: string
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dtype: string
- name: followers_url
dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: milestone
dtype: float64
- name: comments
sequence: string
- name: created_at
dtype: string
- name: updated_at
dtype: string
- name: closed_at
dtype: string
- name: author_association
dtype: string
- name: active_lock_reason
dtype: 'null'
- name: draft
dtype: bool
- name: body
dtype: string
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: 'null'
- name: state_reason
dtype: string
- name: user.login
dtype: string
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dtype: int64
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dtype: string
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dtype: string
- name: user.repos_url
dtype: string
- name: user.events_url
dtype: string
- name: user.received_events_url
dtype: string
- name: user.type
dtype: string
- name: user.site_admin
dtype: bool
- name: pull_request.url
dtype: string
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dtype: string
- name: pull_request.diff_url
dtype: string
- name: pull_request.patch_url
dtype: string
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dtype: string
- name: reactions.url
dtype: string
- name: reactions.total_count
dtype: int64
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dtype: int64
- name: reactions.-1
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dtype: int64
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dtype: int64
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- name: pull_request
dtype: float64
- name: assignee.login
dtype: string
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dtype: float64
- name: assignee.node_id
dtype: string
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dtype: string
- name: assignee.gravatar_id
dtype: string
- name: assignee.url
dtype: string
- name: assignee.html_url
dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: assignee.site_admin
dtype: bool
- name: milestone.url
dtype: string
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dtype: string
- name: milestone.id
dtype: float64
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dtype: string
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dtype: float64
- name: milestone.title
dtype: string
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dtype: string
- name: milestone.creator.login
dtype: string
- name: milestone.creator.id
dtype: float64
- name: milestone.creator.node_id
dtype: string
- name: milestone.creator.avatar_url
dtype: string
- name: milestone.creator.gravatar_id
dtype: string
- name: milestone.creator.url
dtype: string
- name: milestone.creator.html_url
dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: milestone.creator.received_events_url
dtype: string
- name: milestone.creator.type
dtype: string
- name: milestone.creator.site_admin
dtype: bool
- name: milestone.open_issues
dtype: float64
- name: milestone.closed_issues
dtype: float64
- name: milestone.state
dtype: string
- name: milestone.created_at
dtype: string
- name: milestone.updated_at
dtype: string
- name: milestone.due_on
dtype: string
- name: milestone.closed_at
dtype: string
- name: is_pull_request
dtype: bool
splits:
- name: train
num_bytes: 36634810
num_examples: 6435
download_size: 10269718
dataset_size: 36634810
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
oscarlaird/synthetic_isabelle | oscarlaird | 2023-12-04T17:17:26Z | 12 | 0 | [
"region:us"
]
| null | 2023-12-04T16:26:38Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 134768
num_examples: 100
download_size: 57094
dataset_size: 134768
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jq/audio_mock | jq | 2023-12-04T18:04:16Z | 11 | 0 | [
"region:us"
]
| null | 2023-12-04T18:04:14Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
splits:
- name: train
num_bytes: 716.0
num_examples: 8
download_size: 3877
dataset_size: 716.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Eitanli/ingredients_alternatives | Eitanli | 2023-12-04T20:42:57Z | 10 | 0 | [
"region:us"
]
| null | 2023-11-19T22:42:13Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: recipe
dtype: string
- name: ingredients_alternatives
dtype: string
splits:
- name: train
num_bytes: 141623808
num_examples: 74465
download_size: 69175436
dataset_size: 141623808
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
mt0rm0/movie_descriptors | mt0rm0 | 2023-12-04T16:46:54Z | 9 | 0 | [
"task_categories:sentence-similarity",
"size_categories:10K<n<100K",
"language:en",
"license:cc0-1.0",
"movies",
"embeddings",
"semantic search",
"films",
"hpi",
"workshop",
"region:us"
]
| [
"sentence-similarity"
]
| 2023-12-04T16:44:25Z | ---
license: cc0-1.0
task_categories:
- sentence-similarity
language:
- en
pretty_name: '"Movie descriptors for Semantic Search"'
size_categories:
- 10K<n<100K
tags:
- movies
- embeddings
- semantic search
- films
- hpi
- workshop
---
# Dataset Card
This dataset is a subset from Kaggle's The Movie Dataset that contains only name, release year and overview for every film in the original dataset that has that information complete.
It is intended as a toy dataset for learning about embeddings in a workshop from the AI Service Center Berlin-Brandenburg at the Hasso Plattner Institute.
This dataset has a smaller version [here](https://huggingface.co/datasets/mt0rm0/movie_descriptors_small).
## Dataset Details
### Dataset Description
The dataset has 44435 rows and 3 columns:
- 'name': includes the title of the movies
- 'release_year': indicates the year of release
- 'overview': provides a brief description of each movie, used for advertisement.
**Curated by:** [Mario Tormo Romero](https://huggingface.co/mt0rm0)
**Language(s) (NLP):** English
**License:** cc0-1.0
### Dataset Sources
This Dataset is a subset of Kaggle's [The Movie Dataset](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset).
We have only used the <kbd>movies_metadata.csv</kbd> file and extracted some features (see Dataset Description) and dropped the rows that didn't were complete.
The original Dataset has a cc0-1.0 License and we have maintained it.
## Uses
This is a toy dataset created for pegagogical purposes, and is used in the **Working with embeddings** Workshop created and organized by the [AI Service Center Berlin-Brandenburg](https://hpi.de/kisz/) at the [Hasso Plattner Institute](https://hpi.de/).
## Dataset Creation
### Curation Rationale
We want to provide with this dataset a fast way of obtaining the required data for our workshops without having to download huge datasets that contain just way too much information.
### Source Data
Our source is Kaggle's The Movie Dataset., so the information comes from the MovieLens Dataset. The dataset consists of movies released on or before July 2017.
#### Data Collection and Processing
The data was downloaded from [Kaggle](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset) as a zip file. The file <kbd>movies_metadata.csv</kbd> was then extracted.
The data was processed with the following code:
```python
import pandas as pd
# load the csv file
df = pd.read_csv("movies_metadata.csv", low_memory=False)
# select the required columns, drop rows with missing values and
# reset the index
df = df.loc[:, ['title', 'release_date', 'overview']]
df = df.dropna(axis=0).reset_index(drop=True)
# make a new column with the release year
df.loc[:, 'release_year'] = pd.to_datetime(df.release_date).dt.year
# select the columns in the desired order
df = df.loc[:, ['title', 'release_year', 'overview']]
# save the data to parquet
df.to_parquet('descriptors_data.parquet')
```
#### Who are the source data producers?
This dataset is an ensemble of data collected by [Rounak Banik](https://www.kaggle.com/rounakbanik) from TMDB and GroupLens.
In particular, the movies metadata has been collected from the TMDB Open API, but the source dataset is not endorsed or certified by TMDb. | [
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|
on1onmangoes/ZED4 | on1onmangoes | 2023-12-04T18:23:17Z | 9 | 0 | [
"region:us"
]
| null | 2023-12-04T18:20:47Z | ---
dataset_info:
features:
- name: file_name
dtype: string
- name: wav
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
- name: emotion
dtype:
class_label:
names:
'0': happy
'1': sad
'2': angry
'3': other
- name: duration
dtype: float32
- name: emotion_start
dtype: float32
- name: emotion_end
dtype: float32
- name: speaker_id
dtype: string
splits:
- name: train
num_bytes: 30997981.0
num_examples: 180
download_size: 30999146
dataset_size: 30997981.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
AlekseyKorshuk/gambling-rewritten-new-1257-serp | AlekseyKorshuk | 2023-12-04T16:47:20Z | 8 | 0 | [
"region:us"
]
| null | 2023-12-04T16:47:15Z | ---
dataset_info:
features:
- name: input_text
dtype: string
- name: output_text
dtype: string
splits:
- name: train
num_bytes: 15637794
num_examples: 1257
download_size: 8583336
dataset_size: 15637794
---
# Dataset Card for "gambling-rewritten-new-1257-serp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
AlekseyKorshuk/gambling-rewritten-new-1257-serp-chat-prompt | AlekseyKorshuk | 2023-12-04T20:08:10Z | 8 | 0 | [
"region:us"
]
| null | 2023-12-04T20:08:07Z | ---
dataset_info:
features:
- name: input_text
dtype: string
- name: output_text
dtype: string
splits:
- name: train
num_bytes: 15624607
num_examples: 1256
download_size: 8578577
dataset_size: 15624607
---
# Dataset Card for "gambling-rewritten-new-1257-serp-chat-prompt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
daloopa/fashion-mnist-interview | daloopa | 2023-12-04T19:52:08Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-04T19:52:02Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': T - shirt / top
'1': Trouser
'2': Pullover
'3': Dress
'4': Coat
'5': Sandal
'6': Shirt
'7': Sneaker
'8': Bag
'9': Ankle boot
splits:
- name: train
num_bytes: 31049107.0
num_examples: 60000
- name: test
num_bytes: 4150316.0
num_examples: 8000
download_size: 33099036
dataset_size: 35199423.0
---
# Dataset Card for "fashion-mnist-interview"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
bnithish/question_difficulty_1 | bnithish | 2023-12-04T18:33:56Z | 6 | 0 | [
"region:us"
]
| null | 2023-11-14T02:06:29Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: context
dtype: string
- name: response
dtype: string
- name: category
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 29245
num_examples: 68
download_size: 10541
dataset_size: 29245
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Eitanli/ingredients_alternatives_bu | Eitanli | 2023-12-04T20:39:47Z | 6 | 0 | [
"region:us"
]
| null | 2023-11-21T10:26:38Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: recipe
dtype: string
- name: ingredients_alternatives
dtype: string
splits:
- name: train
num_bytes: 141623808
num_examples: 74465
download_size: 69175436
dataset_size: 141623808
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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-0.9505583047866821,
0.47529441118240356,
0.3102525472640991,
-0.5886631011962891,
-0.05114369094371796,
0.3293911814689636,
0.45236870646476746,
0.3009701073169708,
0.5239557027816772,
0.10428237169981003,
0.8970528841018677,
0.25200408697128296,
0.30491408705711365,
-0.04526636749505997,
-0.590078592300415,
-0.016066547483205795,
0.2621476948261261,
0.044878363609313965,
-0.6869441866874695
]
|
DangFutures/distl2 | DangFutures | 2023-12-04T18:56:09Z | 6 | 0 | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
]
| null | 2023-12-04T03:41:58Z | ---
size_categories: 1K<n<10K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for distl2
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Dataset Description
- **Homepage:** https://argilla.io
- **Repository:** https://github.com/argilla-io/argilla
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `FeedbackDataset.from_huggingface` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("DangFutures/distl2")
```
### Load with `datasets`
To load this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("DangFutures/distl2")
```
### Supported Tasks and Leaderboards
This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/conceptual_guides/data_model.html#feedback-dataset) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
There are no leaderboards associated with this dataset.
### Languages
[More Information Needed]
## Dataset Structure
### Data in Argilla
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
The **fields** are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| input | input | text | True | False |
| generations-1 | generations-1 | text | True | False |
| generations-2 | generations-2 | text | True | False |
| generations-3 | generations-3 | text | True | False |
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| generations-1-rating | What's the rating for generations-1? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| generations-2-rating | What's the rating for generations-2? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| generations-3-rating | What's the rating for generations-3? | rating | True | N/A | [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| rating-rationale | What's the rationale behind each rating? | text | True | N/A | N/A |
The **suggestions** are human or machine generated recommendations for each question to assist the annotator during the annotation process, so those are always linked to the existing questions, and named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above, but the column name is appended with "-suggestion" and the metadata is appended with "-suggestion-metadata".
The **metadata** is a dictionary that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
| Metadata Name | Title | Type | Values | Visible for Annotators |
| ------------- | ----- | ---- | ------ | ---------------------- |
| length-input | length-input | integer | None - None | True |
| length-generations-1 | length-generations-1 | integer | None - None | True |
| rating-generations-1 | rating-generations-1 | float | None - None | True |
| length-generations-2 | length-generations-2 | integer | None - None | True |
| rating-generations-2 | rating-generations-2 | float | None - None | True |
| length-generations-3 | length-generations-3 | integer | None - None | True |
| rating-generations-3 | rating-generations-3 | float | None - None | True |
| distance-best-rating | distance-best-rating | float | None - None | True |
The **guidelines**, are optional as well, and are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
```json
{
"external_id": null,
"fields": {
"generations-1": "Conducting a legal investigation in a cybersecurity incident involves following a systematic and thorough process to gather evidence and document the incident appropriately. Here is an overview of the process:\n\n1. Identify and Assess the Incident: The first step is to identify and assess the cybersecurity incident. This involves determining the nature and scope of the incident, understanding the potential damage caused, and classifying the incident based on severity and impact.\n\n2. Establish an Incident Response Team: Assemble an incident response team which may consist of legal advisors, IT experts, forensic analysts, and relevant stakeholders. Their roles and responsibilities should be defined clearly to ensure efficient coordination during the investigation.\n\n3. Preserve and Secure Evidence: Once the incident is identified, it\u0027s crucial to preserve and secure all relevant evidence. This includes taking snapshots of affected systems, isolating compromised devices or data, and ensuring data integrity.\n\n4. Document the Incident: Maintain detailed documentation throughout the investigation process. This should include the incident details, date and time of occurrence, steps taken in response, evidence collected, and actions performed on affected systems.\n\n5. Analyze and Investigate: Conduct a thorough investigation to determine the cause, source, and extent of the incident. This may involve analyzing system logs, network traffic, and any other relevant information. Utilize forensic tools and techniques to collect and analyze digital evidence.\n\n6. Comply with Legal and Regulatory Requirements: Ensure that all necessary legal and regulatory requirements are met during the investigation. This includes following guidelines established by local laws, industry regulations, and data protection standards.\n\n7. Document Findings: Once the investigation is complete, document the findings, including the analysis of evidence, the identified vulnerabilities, and any potential legal implications. This information will be crucial for potential legal proceedings.\n\n8. Notify Affected Parties: If applicable, inform affected parties, such as customers or employees, about the incident in a timely and transparent manner. Provide guidance on any necessary actions they should take to protect themselves.\n\n9. Report to Law Enforcement: In certain cases, it may be necessary to inform law enforcement agencies about the incident. They can provide assistance, investigate further, and potentially prosecute any responsible parties.\n\n10. Remediation and Prevention: Take steps to remediate the cybersecurity incident and prevent similar incidents in the future. This may involve patching vulnerabilities, improving security measures, and enhancing employee awareness and training.\n\nIt\u0027s important to note that the process may vary depending on the legal jurisdiction and specific circumstances of the cybersecurity incident. Consulting with legal professionals experienced in cybersecurity is highly recommended to navigate the process effectively.",
"generations-2": "Conducting a legal investigation in a cybersecurity incident involves several steps. It\u0027s important to note that laws and regulations may vary in different jurisdictions, so it\u0027s necessary to consult with legal professionals familiar with the applicable laws in your jurisdiction. However, here is a general overview of the process:\n\n1. Identify and secure the compromised system: Once a cybersecurity incident is detected, the first step is to identify and secure the affected system or network. This helps prevent further damage or unauthorized access and preserves evidence for investigation purposes.\n\n2. Notify relevant stakeholders: Depending on the nature of the incident, it may be necessary to notify various stakeholders, such as internal IT departments, management, legal counsel, external cybersecurity experts, or law enforcement agencies. Compliance with applicable data breach notification laws and regulations is crucial at this stage.\n\n3. Preserve evidence: Preserving evidence is critical for a successful investigation. The affected system, relevant logs, network traffic data, and any other potential sources of evidence should be carefully collected, documented, and stored in a secure manner. It\u0027s important to follow industry best practices to maintain the integrity and admissibility of the evidence.\n\n4. Engage forensic experts: In complex cases, it\u0027s often necessary to engage forensic experts who specialize in cybersecurity investigations. These professionals have the expertise to analyze the compromised systems, identify the attack vectors, determine the extent of the breach, and provide recommendations for remediation.\n\n5. Analyze and investigate: Investigators will analyze the collected evidence to reconstruct the sequence of events, identify the vulnerabilities exploited, and determine how the incident occurred. This may involve examining logs, network traffic, malware analysis, and interviewing relevant personnel.\n\n6. Legal considerations: Throughout the investigation, it\u0027s important to consider legal and regulatory requirements. This includes compliance with data protection and privacy laws, as well as any industry-specific regulations. Legal counsel should be involved to provide guidance on the appropriate legal actions to take and ensure adherence to legal requirements.\n\n7. Reporting: Once the investigation is completed, a comprehensive report should be prepared detailing the findings, analysis, and recommended remedial actions. This report may be used for internal purposes, legal proceedings, or communicating with stakeholders, including law enforcement if necessary.\n\n8. Mitigation and remediation: Based on the investigation findings, appropriate mitigation and remediation measures should be implemented to address the vulnerabilities discovered, prevent future incidents, and restore the affected systems or networks to a secure state.\n\nIt\u0027s important to note that conducting a legal investigation in a cybersecurity incident can be complex, and it\u0027s advised to consult with legal professionals and cybersecurity experts to ensure a thorough and compliant investigation.",
"generations-3": "Conducting a legal investigation in a cybersecurity incident involves several important steps to ensure both the accuracy of the investigation and compliance with legal requirements. Here\u0027s a detailed overview of the process:\n\n1. Identification: Once a cybersecurity incident is detected, it needs to be promptly identified and reported. This could involve monitoring systems, receiving alerts, or being notified by affected parties.\n\n2. Secure the Affected Systems: The first priority is to secure the affected systems to prevent any further damage or data loss. This may involve isolating the compromised systems, disconnecting them from the network, and preserving any evidence.\n\n3. Assemble Incident Response Team: Form an incident response team, which typically includes professionals from legal, IT, cybersecurity, and possibly law enforcement, depending on the severity of the incident.\n\n4. Preserve Digital Evidence: It\u0027s crucial to preserve digital evidence for a legal investigation. This includes creating backups and system images, taking screenshots, documenting timestamps, and generating detailed logs of system activities.\n\n5. Forensic Analysis: Conduct a comprehensive forensic analysis of the compromised systems and affected network. This involves examining all relevant logs, system configurations, user accounts, network traffic, and any other relevant data to determine the extent of the incident and identify the attacker\u0027s methods.\n\n6. Incident Containment and Recovery: While the investigation is ongoing, implement measures to contain the incident, mitigate potential damages, and begin restoring systems and data to their normal state.\n\n7. Collaboration with Law Enforcement: If necessary or required by law, involve law enforcement agencies in the investigation. This collaboration may entail providing them with relevant evidence, cooperating in their investigation, and following legal procedures.\n\n8. Legal Compliance: Throughout the investigation, ensure compliance with relevant laws and regulations, such as data protection and privacy regulations, industry-specific compliance requirements, and any other laws that may apply depending on the jurisdiction.\n\n9. Analysis and Reporting: Once the investigation is complete, analyze the findings, and document a detailed report of the incident, including the methods used, affected systems, extent of the damage, and any other relevant information. This report will be crucial for potential legal actions or regulatory compliance.\n\n10. Remediation and Prevention: Implement necessary measures to remediate vulnerabilities, prevent future incidents, and improve the overall cybersecurity posture. This may include strengthening security controls, updating policies and procedures, enhancing employee training, and conducting penetration testing.\n\nIt\u0027s important to note that conducting a legal investigation in a cybersecurity incident can be complex and may require the expertise of professionals, such as forensic analysts, cybersecurity consultants, and legal counsel. It\u0027s recommended to consult with experts to ensure the investigation is conducted effectively and legally sound.",
"input": "Detail the process of conducting a legal investigation in a cybersecurity incident."
},
"metadata": {
"distance-best-rating": 0.0,
"length-generations-1": 3060,
"length-generations-2": 3133,
"length-generations-3": 3163,
"length-input": 83,
"rating-generations-1": 5.0,
"rating-generations-2": 4.0,
"rating-generations-3": 5.0
},
"responses": [],
"suggestions": [
{
"agent": null,
"question_name": "rating-rationale",
"score": null,
"type": null,
"value": "generations-1:\nThe text thoroughly details each step of the legal investigation process following a cybersecurity incident, adhering to the instruction provided. It incorporates the assembly of an incident response team, evidence preservation, compliance with legal and regulatory requirements, and documentation throughout the process which covers the task goal. The text also observes the restrictions by focusing on the legal aspects without deviation.\ngenerations-2:\nThe text aligns closely with the instruction provided, describing the steps of conducting a legal investigation in the context of a cybersecurity incident. It includes identification, notification, preserving evidence, engagement of forensic experts, analysis, consideration of legal aspects, reporting, and mitigation. It receives a \u00274\u0027 because while it is accurate, it could provide a bit more detail on the legal and regulatory requirements to ensure full alignment with the given instructions.\ngenerations-3:\nThis text accurately follows the instruction given, detailing the process of conducting a legal investigation following a cyber security incident. It addresses all aspects, including identification, securing systems, forming a response team, evidence preservation, forensic analysis, legal compliance, and remediation and prevention. The text stays within the parameters of the tasks without overstepping into unnecessary details, fulfilling both the task goal and the restrictions.\n"
},
{
"agent": null,
"question_name": "generations-1-rating",
"score": null,
"type": null,
"value": 5
},
{
"agent": null,
"question_name": "generations-2-rating",
"score": null,
"type": null,
"value": 4
},
{
"agent": null,
"question_name": "generations-3-rating",
"score": null,
"type": null,
"value": 5
}
],
"vectors": {}
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"external_id": null,
"generations-1": "Conducting a legal investigation in a cybersecurity incident involves following a systematic and thorough process to gather evidence and document the incident appropriately. Here is an overview of the process:\n\n1. Identify and Assess the Incident: The first step is to identify and assess the cybersecurity incident. This involves determining the nature and scope of the incident, understanding the potential damage caused, and classifying the incident based on severity and impact.\n\n2. Establish an Incident Response Team: Assemble an incident response team which may consist of legal advisors, IT experts, forensic analysts, and relevant stakeholders. Their roles and responsibilities should be defined clearly to ensure efficient coordination during the investigation.\n\n3. Preserve and Secure Evidence: Once the incident is identified, it\u0027s crucial to preserve and secure all relevant evidence. This includes taking snapshots of affected systems, isolating compromised devices or data, and ensuring data integrity.\n\n4. Document the Incident: Maintain detailed documentation throughout the investigation process. This should include the incident details, date and time of occurrence, steps taken in response, evidence collected, and actions performed on affected systems.\n\n5. Analyze and Investigate: Conduct a thorough investigation to determine the cause, source, and extent of the incident. This may involve analyzing system logs, network traffic, and any other relevant information. Utilize forensic tools and techniques to collect and analyze digital evidence.\n\n6. Comply with Legal and Regulatory Requirements: Ensure that all necessary legal and regulatory requirements are met during the investigation. This includes following guidelines established by local laws, industry regulations, and data protection standards.\n\n7. Document Findings: Once the investigation is complete, document the findings, including the analysis of evidence, the identified vulnerabilities, and any potential legal implications. This information will be crucial for potential legal proceedings.\n\n8. Notify Affected Parties: If applicable, inform affected parties, such as customers or employees, about the incident in a timely and transparent manner. Provide guidance on any necessary actions they should take to protect themselves.\n\n9. Report to Law Enforcement: In certain cases, it may be necessary to inform law enforcement agencies about the incident. They can provide assistance, investigate further, and potentially prosecute any responsible parties.\n\n10. Remediation and Prevention: Take steps to remediate the cybersecurity incident and prevent similar incidents in the future. This may involve patching vulnerabilities, improving security measures, and enhancing employee awareness and training.\n\nIt\u0027s important to note that the process may vary depending on the legal jurisdiction and specific circumstances of the cybersecurity incident. Consulting with legal professionals experienced in cybersecurity is highly recommended to navigate the process effectively.",
"generations-1-rating": [],
"generations-1-rating-suggestion": 5,
"generations-1-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"generations-2": "Conducting a legal investigation in a cybersecurity incident involves several steps. It\u0027s important to note that laws and regulations may vary in different jurisdictions, so it\u0027s necessary to consult with legal professionals familiar with the applicable laws in your jurisdiction. However, here is a general overview of the process:\n\n1. Identify and secure the compromised system: Once a cybersecurity incident is detected, the first step is to identify and secure the affected system or network. This helps prevent further damage or unauthorized access and preserves evidence for investigation purposes.\n\n2. Notify relevant stakeholders: Depending on the nature of the incident, it may be necessary to notify various stakeholders, such as internal IT departments, management, legal counsel, external cybersecurity experts, or law enforcement agencies. Compliance with applicable data breach notification laws and regulations is crucial at this stage.\n\n3. Preserve evidence: Preserving evidence is critical for a successful investigation. The affected system, relevant logs, network traffic data, and any other potential sources of evidence should be carefully collected, documented, and stored in a secure manner. It\u0027s important to follow industry best practices to maintain the integrity and admissibility of the evidence.\n\n4. Engage forensic experts: In complex cases, it\u0027s often necessary to engage forensic experts who specialize in cybersecurity investigations. These professionals have the expertise to analyze the compromised systems, identify the attack vectors, determine the extent of the breach, and provide recommendations for remediation.\n\n5. Analyze and investigate: Investigators will analyze the collected evidence to reconstruct the sequence of events, identify the vulnerabilities exploited, and determine how the incident occurred. This may involve examining logs, network traffic, malware analysis, and interviewing relevant personnel.\n\n6. Legal considerations: Throughout the investigation, it\u0027s important to consider legal and regulatory requirements. This includes compliance with data protection and privacy laws, as well as any industry-specific regulations. Legal counsel should be involved to provide guidance on the appropriate legal actions to take and ensure adherence to legal requirements.\n\n7. Reporting: Once the investigation is completed, a comprehensive report should be prepared detailing the findings, analysis, and recommended remedial actions. This report may be used for internal purposes, legal proceedings, or communicating with stakeholders, including law enforcement if necessary.\n\n8. Mitigation and remediation: Based on the investigation findings, appropriate mitigation and remediation measures should be implemented to address the vulnerabilities discovered, prevent future incidents, and restore the affected systems or networks to a secure state.\n\nIt\u0027s important to note that conducting a legal investigation in a cybersecurity incident can be complex, and it\u0027s advised to consult with legal professionals and cybersecurity experts to ensure a thorough and compliant investigation.",
"generations-2-rating": [],
"generations-2-rating-suggestion": 4,
"generations-2-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"generations-3": "Conducting a legal investigation in a cybersecurity incident involves several important steps to ensure both the accuracy of the investigation and compliance with legal requirements. Here\u0027s a detailed overview of the process:\n\n1. Identification: Once a cybersecurity incident is detected, it needs to be promptly identified and reported. This could involve monitoring systems, receiving alerts, or being notified by affected parties.\n\n2. Secure the Affected Systems: The first priority is to secure the affected systems to prevent any further damage or data loss. This may involve isolating the compromised systems, disconnecting them from the network, and preserving any evidence.\n\n3. Assemble Incident Response Team: Form an incident response team, which typically includes professionals from legal, IT, cybersecurity, and possibly law enforcement, depending on the severity of the incident.\n\n4. Preserve Digital Evidence: It\u0027s crucial to preserve digital evidence for a legal investigation. This includes creating backups and system images, taking screenshots, documenting timestamps, and generating detailed logs of system activities.\n\n5. Forensic Analysis: Conduct a comprehensive forensic analysis of the compromised systems and affected network. This involves examining all relevant logs, system configurations, user accounts, network traffic, and any other relevant data to determine the extent of the incident and identify the attacker\u0027s methods.\n\n6. Incident Containment and Recovery: While the investigation is ongoing, implement measures to contain the incident, mitigate potential damages, and begin restoring systems and data to their normal state.\n\n7. Collaboration with Law Enforcement: If necessary or required by law, involve law enforcement agencies in the investigation. This collaboration may entail providing them with relevant evidence, cooperating in their investigation, and following legal procedures.\n\n8. Legal Compliance: Throughout the investigation, ensure compliance with relevant laws and regulations, such as data protection and privacy regulations, industry-specific compliance requirements, and any other laws that may apply depending on the jurisdiction.\n\n9. Analysis and Reporting: Once the investigation is complete, analyze the findings, and document a detailed report of the incident, including the methods used, affected systems, extent of the damage, and any other relevant information. This report will be crucial for potential legal actions or regulatory compliance.\n\n10. Remediation and Prevention: Implement necessary measures to remediate vulnerabilities, prevent future incidents, and improve the overall cybersecurity posture. This may include strengthening security controls, updating policies and procedures, enhancing employee training, and conducting penetration testing.\n\nIt\u0027s important to note that conducting a legal investigation in a cybersecurity incident can be complex and may require the expertise of professionals, such as forensic analysts, cybersecurity consultants, and legal counsel. It\u0027s recommended to consult with experts to ensure the investigation is conducted effectively and legally sound.",
"generations-3-rating": [],
"generations-3-rating-suggestion": 5,
"generations-3-rating-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"input": "Detail the process of conducting a legal investigation in a cybersecurity incident.",
"metadata": "{\"length-input\": 83, \"length-generations-1\": 3060, \"length-generations-2\": 3133, \"length-generations-3\": 3163, \"rating-generations-1\": 5.0, \"rating-generations-2\": 4.0, \"rating-generations-3\": 5.0, \"distance-best-rating\": 0.0}",
"rating-rationale": [],
"rating-rationale-suggestion": "generations-1:\nThe text thoroughly details each step of the legal investigation process following a cybersecurity incident, adhering to the instruction provided. It incorporates the assembly of an incident response team, evidence preservation, compliance with legal and regulatory requirements, and documentation throughout the process which covers the task goal. The text also observes the restrictions by focusing on the legal aspects without deviation.\ngenerations-2:\nThe text aligns closely with the instruction provided, describing the steps of conducting a legal investigation in the context of a cybersecurity incident. It includes identification, notification, preserving evidence, engagement of forensic experts, analysis, consideration of legal aspects, reporting, and mitigation. It receives a \u00274\u0027 because while it is accurate, it could provide a bit more detail on the legal and regulatory requirements to ensure full alignment with the given instructions.\ngenerations-3:\nThis text accurately follows the instruction given, detailing the process of conducting a legal investigation following a cyber security incident. It addresses all aspects, including identification, securing systems, forming a response team, evidence preservation, forensic analysis, legal compliance, and remediation and prevention. The text stays within the parameters of the tasks without overstepping into unnecessary details, fulfilling both the task goal and the restrictions.\n",
"rating-rationale-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
}
}
```
### Data Fields
Among the dataset fields, we differentiate between the following:
* **Fields:** These are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
* **input** is of type `text`.
* **generations-1** is of type `text`.
* **generations-2** is of type `text`.
* **generations-3** is of type `text`.
* **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
* **generations-1-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **generations-2-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **generations-3-rating** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* **rating-rationale** is of type `text`.
* **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
* (optional) **generations-1-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **generations-2-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **generations-3-rating-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].
* (optional) **rating-rationale-suggestion** is of type `text`.
Additionally, we also have two more fields that are optional and are the following:
* **metadata:** This is an optional field that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
* **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is `train`.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation guidelines
[More Information Needed]
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
-0.8182543516159058,
-0.8661721348762512,
0.3280029296875,
0.2686387598514557,
-0.25169435143470764,
-0.29859480261802673,
0.1963350623846054,
-0.6309285759925842,
0.5603041648864746,
0.7517743110656738,
-0.7805378437042236,
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0.1532696932554245,
-0.26639899611473083,
1.3705130815505981,
0.03214433789253235,
-0.24425899982452393,
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-0.26393985748291016,
-0.7069815397262573,
-0.6242777109146118,
-0.7029125094413757,
-0.07089880853891373,
0.4371615946292877,
0.5359405875205994,
0.4970244765281677,
0.7520571947097778,
0.7262721657752991,
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|
douglasrolins/enem-sample | douglasrolins | 2023-12-04T19:06:58Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-04T19:01:14Z | ---
dataset_info:
features:
- name: content
dtype: string
- name: prompt
dtype: string
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: E
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 1489122
num_examples: 1382
- name: validation
num_bytes: 296526
num_examples: 276
- name: test
num_bytes: 197526
num_examples: 185
download_size: 1370332
dataset_size: 1983174
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
## Descrição do Dataset Description
Dataset com questões do ENEM (Exame Nacional do Ensino Médio) de diversos anos e áreas de conhecimento.
Dataset utilizado para atividades da disciplina de Processamento de Linguagem Natural em 2023/2 no INF/UFG.
## Estrutura do Dataset
- content (contexto da questão)
- prompt (pergunta)
- A (alternativa A)
- B (alternativa B)
- C (alternativa C)
- D (alternativa D)
- E (alternativa E)
- answer (alternativa correta)
### Splits
- Train (1382)
- Validation (276)
- Test (185) | [
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|
re-align/just-eval-instruct | re-align | 2023-12-05T00:53:11Z | 5 | 2 | [
"region:us"
]
| null | 2023-09-11T21:42:48Z | ---
configs:
- config_name: default
data_files:
- split: test
path: "test_all_with_tags.jsonl"
# - split: test_regular_only
# path: "test_regular.jsonl"
# - split: test_safety_only
# path: "test_red.jsonl"
- config_name: responses
data_files:
- split: gpt_4_0613
path: "responses/gpt-4-0613.json"
- split: gpt_4_0314
path: "responses/gpt-4-0314.json"
- split: gpt_3.5_turbo_0301
path: "responses/gpt-3.5-turbo-0301.json"
- split: Mistral_7B_Instruct_v0.1
path: "responses/Mistral-7B-Instruct-v0.1.json"
- split: Llama_2_13b_chat_hf
path: "responses/Llama-2-13b-chat-hf.json"
- split: Llama_2_70B_chat_GPTQ
path: "responses/Llama-2-70B-chat-GPTQ.json"
- split: Llama_2_7b_chat_hf
path: "responses/Llama-2-7b-chat-hf.json"
- split: vicuna_13b_v1.5
path: "responses/vicuna-13b-v1.5.json"
- split: vicuna_7b_v1.5
path: "responses/vicuna-7b-v1.5.json"
- config_name: judgements_main
data_files:
- split: Mistral_7B_Instruct_v0.1
path: "judgements/main/Mistral-7B-Instruct-v0.1.json"
- split: gpt_4_0613
path: "judgements/main/gpt-4-0613.json"
- split: gpt_4_0314
path: "judgements/main/gpt-4-0314.json"
- split: Llama_2_70B_chat_GPTQ
path: "judgements/main/Llama-2-70B-chat-GPTQ.json"
- split: Llama_2_13b_chat_hf
path: "judgements/main/Llama-2-13b-chat-hf.json"
- split: vicuna_7b_v1.5
path: "judgements/main/vicuna-7b-v1.5.json"
- split: vicuna_13b_v1.5
path: "judgements/main/vicuna-13b-v1.5.json"
- split: gpt_3.5_turbo_0301
path: "judgements/main/gpt-3.5-turbo-0301.json"
- split: Llama_2_7b_chat_hf
path: "judgements/main/Llama-2-7b-chat-hf.json"
- config_name: judgements_safety
data_files:
- split: Mistral_7B_Instruct_v0.1
path: "judgements/safety/Mistral-7B-Instruct-v0.1.json"
- split: gpt_4_0613
path: "judgements/safety/gpt-4-0613.json"
- split: gpt_4_0314
path: "judgements/safety/gpt-4-0314.json"
- split: Llama_2_70B_chat_GPTQ
path: "judgements/safety/Llama-2-70B-chat-GPTQ.json"
- split: Llama_2_13b_chat_hf
path: "judgements/safety/Llama-2-13b-chat-hf.json"
- split: vicuna_7b_v1.5
path: "judgements/safety/vicuna-7b-v1.5.json"
- split: vicuna_13b_v1.5
path: "judgements/safety/vicuna-13b-v1.5.json"
- split: gpt_3.5_turbo_0301
path: "judgements/safety/gpt-3.5-turbo-0301.json"
- split: Llama_2_7b_chat_hf
path: "judgements/safety/Llama-2-7b-chat-hf.json"
---
# Just Eval Instruct
## Highlights
<div class="col-md-12">
<ul>
<li><b>Data sources:</b>
<a href="https://huggingface.co/datasets/tatsu-lab/alpaca_eval" target="_blank">AlpacaEval</a> (covering 5 datasets),
<a href="https://huggingface.co/datasets/GAIR/lima/viewer/plain_text/test" target="_blank">LIMA-test</a>,
<a href="https://huggingface.co/datasets/HuggingFaceH4/mt_bench_prompts" target="_blank">MT-bench</a>,
<a href="https://huggingface.co/datasets/Anthropic/hh-rlhf/tree/main/red-team-attempts" target="_blank">Anthropic red-teaming</a>,
and <a href="https://github.com/Princeton-SysML/Jailbreak_LLM/blob/main/data/MaliciousInstruct.txt" target="_blank">MaliciousInstruct</a>. </li>
<li><b>1K examples:</b> 1,000 instructions, including 800 for problem-solving test, and 200 specifically for safety test. </li>
<li><b>Category:</b> We tag each example with (one or multiple) labels on its task types and topics. </li>
</ul>
</div>
## Distribution
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|
andrewatef/MyPro | andrewatef | 2023-12-04T22:49:24Z | 5 | 0 | [
"task_categories:text-generation",
"size_categories:n<1K",
"license:apache-2.0",
"legal",
"region:us"
]
| [
"text-generation"
]
| 2023-11-23T15:52:37Z | ---
license: apache-2.0
task_categories:
- text-generation
tags:
- legal
size_categories:
- n<1K
--- | [
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|
jslin09/LegalElements | jslin09 | 2023-12-04T16:33:44Z | 5 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T16:33:12Z | ---
license: mit
---
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|
polinaeterna/doc-image-7 | polinaeterna | 2023-12-04T17:33:22Z | 5 | 0 | [
"size_categories:n<1K",
"region:us"
]
| null | 2023-12-04T17:26:12Z | ---
configs:
- config_name: default
drop_labels: false
drop_metadata: false
size_categories:
- n<1K
---
# [doc] image dataset 7
This dataset contains 2 jpeg files in the `red` directory and 2 jpeg files in the `green` directory. | [
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|
vinidiol/swpc_alpaca_data_zh_51k | vinidiol | 2023-12-04T18:19:04Z | 5 | 0 | [
"license:cc-by-nc-nd-3.0",
"region:us"
]
| null | 2023-12-04T18:15:12Z | ---
license: cc-by-nc-nd-3.0
---
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|
Crosstyan/BPDataset | Crosstyan | 2023-12-04T18:06:36Z | 4 | 4 | [
"size_categories:1K<n<10K",
"license:openrail",
"not-for-all-audiences",
"region:us"
]
| null | 2022-12-21T03:11:52Z | ---
license: openrail
tags:
- not-for-all-audiences
size_categories:
- 1K<n<10K
---
For the sake of full disclosure I publish the dataset that I use to train [Crosstyan/BPModel](https://huggingface.co/Crosstyan/BPModel).
NSFW content is contained. Watch with your parents if you don't feel comfortable about that. | [
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|
mmenendezg/raw_pneumonia_x_ray | mmenendezg | 2023-12-04T23:58:48Z | 4 | 0 | [
"region:us"
]
| null | 2023-05-24T19:53:35Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': normal
'1': pneumonia
splits:
- name: train
num_bytes: 3197295656.864
num_examples: 5232
- name: test
num_bytes: 111133345.0
num_examples: 624
download_size: 1263131512
dataset_size: 3308429001.864
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "raw_pneumonia_x_ray"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
maidalun1020/MultilingualRetrievalOthersEn | maidalun1020 | 2023-12-04T17:07:00Z | 4 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T15:29:49Z | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: queries
path: data/queries-*
- split: corpus
path: data/corpus-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_bytes: 4629431
num_examples: 22963
- name: corpus
num_bytes: 4699691
num_examples: 3918
download_size: 6356941
dataset_size: 9329122
---
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|
maidalun1020/MultilingualRetrievalOthersEn-qrels | maidalun1020 | 2023-12-04T17:07:10Z | 4 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T15:29:55Z | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 557424
num_examples: 23003
download_size: 295231
dataset_size: 557424
---
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|
HelgeKn/wsd_categories | HelgeKn | 2023-12-04T16:51:58Z | 4 | 0 | [
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T15:31:59Z | ---
license: apache-2.0
language:
- en
size_categories:
- n<1K
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|
James-A/Minecraft-16x-Dataset | James-A | 2023-12-04T19:17:58Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-04T16:30:32Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: texture_name
dtype: string
- name: texture_size
dtype: string
- name: type
dtype: string
- name: primary_colors
dtype: string
- name: secondary_colors
dtype: string
- name: pattern_description
dtype: string
- name: texture_style
dtype: string
- name: lighting_reflection
dtype: string
- name: symmetry
dtype: string
- name: tileable_direction
dtype: string
- name: visual_complexity
dtype: string
- name: illumination_effects
dtype: string
- name: usage_context
dtype: string
- name: functionality
dtype: string
- name: related_items_blocks
dtype: string
- name: mimicry_biome_association
dtype: string
- name: special_effects_in_game_functionality
dtype: string
- name: overall_texture_description
dtype: string
splits:
- name: train
num_bytes: 2448364.632
num_examples: 1366
- name: validation
num_bytes: 124204.0
num_examples: 70
- name: test
num_bytes: 147858.0
num_examples: 83
download_size: 1710023
dataset_size: 2720426.632
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
yu-nomi/wikipedia-2.156 | yu-nomi | 2023-12-04T20:35:57Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T19:39:29Z | ---
license: mit
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 232007785
num_examples: 1036857
download_size: 134009519
dataset_size: 232007785
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Yorth/dalleTestDataFiltered | Yorth | 2023-12-04T21:42:18Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-04T21:41:10Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
- name: resolution
dtype: string
splits:
- name: train
num_bytes: 1177555104.0891273
num_examples: 4584
download_size: 1216930750
dataset_size: 1177555104.0891273
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
adamjweintraut/eli5_precomputed | adamjweintraut | 2023-12-04T22:05:27Z | 3 | 0 | [
"region:us"
]
| null | 2023-11-28T04:32:56Z | ---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: best_answer
dtype: string
- name: all_answers
sequence: string
- name: num_answers
dtype: int64
- name: top_answers
sequence: string
- name: num_top_answers
dtype: int64
- name: context
dtype: string
- name: orig
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 5309395911.763605
num_examples: 183333
- name: test
num_bytes: 663685349.1181977
num_examples: 22917
- name: validation
num_bytes: 663685349.1181977
num_examples: 22917
download_size: 4106283683
dataset_size: 6636766610.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
thorirhrafn/rmh_subset | thorirhrafn | 2023-12-04T18:58:47Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T18:58:35Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 136193583.4
num_examples: 56000
- name: test
num_bytes: 40858075.02
num_examples: 16800
- name: valid
num_bytes: 17510603.58
num_examples: 7200
download_size: 118022050
dataset_size: 194562262.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
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|
FP16/alpaca-finnish-llama2-10k | FP16 | 2023-12-04T19:40:13Z | 3 | 0 | [
"region:us"
]
| null | 2023-12-04T19:40:12Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 4063122
num_examples: 10000
download_size: 2471959
dataset_size: 4063122
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
sweis/script_executing | sweis | 2023-12-04T22:52:09Z | 3 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T22:33:48Z | ---
license: apache-2.0
---
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|
TrainingDataPro/anti-spoofing_Real | TrainingDataPro | 2023-12-04T18:04:20Z | 2 | 1 | [
"task_categories:image-to-image",
"task_categories:video-classification",
"language:en",
"license:cc-by-nc-nd-4.0",
"code",
"region:us"
]
| [
"image-to-image",
"video-classification"
]
| 2023-04-28T10:47:09Z | ---
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- video-classification
language:
- en
tags:
- code
dataset_info:
features:
- name: phone
dtype: string
- name: selfie
dtype: image
- name: video
dtype: string
- name: worker_id
dtype: string
- name: age
dtype: int8
- name: country
dtype: string
- name: gender
dtype: string
splits:
- name: train
num_bytes: 100634313
num_examples: 30
download_size: 568013310
dataset_size: 100634313
---
# Anti-Spoofing dataset: real
The dataset consists of 140,000 videos and selfies with unique people. 51,000+ attack replays from 4,000+ unique devices.
# Get the dataset
### This is just an example of the data
Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_Real) to discuss your requirements, learn about the price and buy the dataset.
# File with the extension .csv
includes the following information for each media file:
- **phone**: the device used to capture the media files,
- **selfie_link**: the URL to access the photo
- **video_link**: the URL to access the video
- **worker_id**: the identifier of the person who provided the media file,
- **age**: the age of the person,
- **country**: the country of origin of the person,
- **gender**: the gender of the person,
- **selfie_file_type**: the type of the photo,
- **video_file_type**: the type of the video
# Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file
**How it works**: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first line of the .csv file.*
## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_Real) provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: **<https://www.kaggle.com/trainingdatapro/datasets>**
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** | [
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|
open-llm-leaderboard/details_HuggingFaceH4__zephyr-7b-beta | open-llm-leaderboard | 2023-12-04T23:31:29Z | 2 | 0 | [
"region:us"
]
| null | 2023-11-18T22:12:54Z | ---
pretty_name: Evaluation run of HuggingFaceH4/zephyr-7b-beta
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 3 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_HuggingFaceH4__zephyr-7b-beta\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T23:27:56.473641](https://huggingface.co/datasets/open-llm-leaderboard/details_HuggingFaceH4__zephyr-7b-beta/blob/main/results_2023-12-04T23-27-56.473641.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\": 0.6046654337307571,\n\
\ \"acc_stderr\": 0.03331208745152503,\n \"acc_norm\": 0.6113529654673323,\n\
\ \"acc_norm_stderr\": 0.034010916290269214,\n \"mc1\": 0.4222766217870257,\n\
\ \"mc1_stderr\": 0.017290733254248174,\n \"mc2\": 0.5783301386651128,\n\
\ \"mc2_stderr\": 0.01580070269822175\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5921501706484642,\n \"acc_stderr\": 0.0143610972884497,\n\
\ \"acc_norm\": 0.6245733788395904,\n \"acc_norm_stderr\": 0.014150631435111728\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6488747261501693,\n\
\ \"acc_stderr\": 0.004763465139038561,\n \"acc_norm\": 0.8434574785899224,\n\
\ \"acc_norm_stderr\": 0.0036262628054422106\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\": 0.6,\n \
\ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.6,\n \"\
acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5855263157894737,\n \"acc_stderr\": 0.04008973785779206,\n\
\ \"acc_norm\": 0.5855263157894737,\n \"acc_norm_stderr\": 0.04008973785779206\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6566037735849056,\n \"acc_stderr\": 0.029224526469124792,\n\
\ \"acc_norm\": 0.6566037735849056,\n \"acc_norm_stderr\": 0.029224526469124792\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\
\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\
\ \"acc_norm_stderr\": 0.03852084696008534\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\"\
: 0.49,\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\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6358381502890174,\n\
\ \"acc_stderr\": 0.03669072477416906,\n \"acc_norm\": 0.6358381502890174,\n\
\ \"acc_norm_stderr\": 0.03669072477416906\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\": 0.04461960433384739,\n \"acc_norm\": 0.73,\n\
\ \"acc_norm_stderr\": 0.04461960433384739\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\": 0.4298245614035088,\n\
\ \"acc_stderr\": 0.046570472605949625,\n \"acc_norm\": 0.4298245614035088,\n\
\ \"acc_norm_stderr\": 0.046570472605949625\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\
\ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.38095238095238093,\n \"acc_stderr\": 0.0250107491161376,\n \"\
acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.0250107491161376\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\": 0.37,\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\": 0.7451612903225806,\n\
\ \"acc_stderr\": 0.02479011845933221,\n \"acc_norm\": 0.7451612903225806,\n\
\ \"acc_norm_stderr\": 0.02479011845933221\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\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\
: 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\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\"\
: 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365907,\n \"\
acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365907\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8290155440414507,\n \"acc_stderr\": 0.02717121368316453,\n\
\ \"acc_norm\": 0.8290155440414507,\n \"acc_norm_stderr\": 0.02717121368316453\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6128205128205129,\n \"acc_stderr\": 0.024697216930878934,\n\
\ \"acc_norm\": 0.6128205128205129,\n \"acc_norm_stderr\": 0.024697216930878934\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251972,\n \
\ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251972\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6512605042016807,\n \"acc_stderr\": 0.030956636328566545,\n\
\ \"acc_norm\": 0.6512605042016807,\n \"acc_norm_stderr\": 0.030956636328566545\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.32450331125827814,\n \"acc_stderr\": 0.038227469376587525,\n \"\
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.038227469376587525\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8110091743119267,\n \"acc_stderr\": 0.016785481159203627,\n \"\
acc_norm\": 0.8110091743119267,\n \"acc_norm_stderr\": 0.016785481159203627\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5462962962962963,\n \"acc_stderr\": 0.03395322726375798,\n \"\
acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.03395322726375798\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7745098039215687,\n \"acc_stderr\": 0.029331162294251735,\n \"\
acc_norm\": 0.7745098039215687,\n \"acc_norm_stderr\": 0.029331162294251735\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842538,\n \
\ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842538\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6322869955156951,\n\
\ \"acc_stderr\": 0.03236198350928276,\n \"acc_norm\": 0.6322869955156951,\n\
\ \"acc_norm_stderr\": 0.03236198350928276\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.6641221374045801,\n \"acc_stderr\": 0.041423137719966634,\n\
\ \"acc_norm\": 0.6641221374045801,\n \"acc_norm_stderr\": 0.041423137719966634\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7107438016528925,\n \"acc_stderr\": 0.04139112727635463,\n \"\
acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.04139112727635463\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\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\
\ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.35714285714285715,\n\
\ \"acc_stderr\": 0.04547960999764376,\n \"acc_norm\": 0.35714285714285715,\n\
\ \"acc_norm_stderr\": 0.04547960999764376\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\
\ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\
\ \"acc_stderr\": 0.02158649400128137,\n \"acc_norm\": 0.8760683760683761,\n\
\ \"acc_norm_stderr\": 0.02158649400128137\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\": 0.7828863346104725,\n\
\ \"acc_stderr\": 0.014743125394823297,\n \"acc_norm\": 0.7828863346104725,\n\
\ \"acc_norm_stderr\": 0.014743125394823297\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6878612716763006,\n \"acc_stderr\": 0.02494679222527231,\n\
\ \"acc_norm\": 0.6878612716763006,\n \"acc_norm_stderr\": 0.02494679222527231\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33519553072625696,\n\
\ \"acc_stderr\": 0.015788007190185884,\n \"acc_norm\": 0.33519553072625696,\n\
\ \"acc_norm_stderr\": 0.015788007190185884\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.673202614379085,\n \"acc_stderr\": 0.026857294663281413,\n\
\ \"acc_norm\": 0.673202614379085,\n \"acc_norm_stderr\": 0.026857294663281413\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6688102893890675,\n\
\ \"acc_stderr\": 0.02673062072800491,\n \"acc_norm\": 0.6688102893890675,\n\
\ \"acc_norm_stderr\": 0.02673062072800491\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\": 0.48936170212765956,\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\": 0.4276401564537158,\n\
\ \"acc_stderr\": 0.012635799922765844,\n \"acc_norm\": 0.4276401564537158,\n\
\ \"acc_norm_stderr\": 0.012635799922765844\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6213235294117647,\n \"acc_stderr\": 0.02946513363977613,\n\
\ \"acc_norm\": 0.6213235294117647,\n \"acc_norm_stderr\": 0.02946513363977613\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6274509803921569,\n \"acc_stderr\": 0.019559646809215927,\n \
\ \"acc_norm\": 0.6274509803921569,\n \"acc_norm_stderr\": 0.019559646809215927\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\": 0.6653061224489796,\n \"acc_stderr\": 0.030209235226242307,\n\
\ \"acc_norm\": 0.6653061224489796,\n \"acc_norm_stderr\": 0.030209235226242307\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8059701492537313,\n\
\ \"acc_stderr\": 0.027962677604768917,\n \"acc_norm\": 0.8059701492537313,\n\
\ \"acc_norm_stderr\": 0.027962677604768917\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \
\ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816506\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\
\ \"acc_norm_stderr\": 0.03892212195333045\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\": 0.4222766217870257,\n\
\ \"mc1_stderr\": 0.017290733254248174,\n \"mc2\": 0.5783301386651128,\n\
\ \"mc2_stderr\": 0.01580070269822175\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.771112865035517,\n \"acc_stderr\": 0.011807360224025397\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.27065959059893857,\n \
\ \"acc_stderr\": 0.012238245006183405\n }\n}\n```"
repo_url: https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
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_11_18T22_09_56.084449
path:
- '**/details_harness|arc:challenge|25_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|arc:challenge|25_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|arc:challenge|25_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|drop|3_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|drop|3_2023-11-18T22-22-30.225929.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-18T22-22-30.225929.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|gsm8k|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|gsm8k|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|gsm8k|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hellaswag|10_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hellaswag|10_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hellaswag|10_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-09-56.084449.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-22-30.225929.parquet'
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-22-30.225929.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T23-27-56.473641.parquet'
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T23-27-56.473641.parquet'
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T23-27-56.473641.parquet'
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- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T23-27-56.473641.parquet'
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- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T23-27-56.473641.parquet'
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T23-27-56.473641.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
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path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-09-56.084449.parquet'
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path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
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path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
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path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T22-09-56.084449.parquet'
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path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
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path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T22-09-56.084449.parquet'
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path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-09-56.084449.parquet'
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path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T22-09-56.084449.parquet'
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path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T22-22-30.225929.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T22-09-56.084449.parquet'
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path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
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path:
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path:
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path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
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path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-18T22-09-56.084449.parquet'
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path:
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path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
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path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-18T22-09-56.084449.parquet'
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path:
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path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
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path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T22-09-56.084449.parquet'
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path:
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path:
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path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
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path:
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path:
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path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
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- config_name: harness_hendrycksTest_marketing_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T22-09-56.084449.parquet'
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
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path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T22-09-56.084449.parquet'
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path:
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path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
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path:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
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path:
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path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
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path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T22-09-56.084449.parquet'
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path:
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- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T23-27-56.473641.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- '**/details_harness|winogrande|5_2023-11-18T22-09-56.084449.parquet'
- split: 2023_11_18T22_22_30.225929
path:
- '**/details_harness|winogrande|5_2023-11-18T22-22-30.225929.parquet'
- split: 2023_12_04T23_27_56.473641
path:
- '**/details_harness|winogrande|5_2023-12-04T23-27-56.473641.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T23-27-56.473641.parquet'
- config_name: results
data_files:
- split: 2023_11_18T22_09_56.084449
path:
- results_2023-11-18T22-09-56.084449.parquet
- split: 2023_11_18T22_22_30.225929
path:
- results_2023-11-18T22-22-30.225929.parquet
- split: 2023_12_04T23_27_56.473641
path:
- results_2023-12-04T23-27-56.473641.parquet
- split: latest
path:
- results_2023-12-04T23-27-56.473641.parquet
---
# Dataset Card for Evaluation run of HuggingFaceH4/zephyr-7b-beta
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 3 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_HuggingFaceH4__zephyr-7b-beta",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T23:27:56.473641](https://huggingface.co/datasets/open-llm-leaderboard/details_HuggingFaceH4__zephyr-7b-beta/blob/main/results_2023-12-04T23-27-56.473641.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": 0.6046654337307571,
"acc_stderr": 0.03331208745152503,
"acc_norm": 0.6113529654673323,
"acc_norm_stderr": 0.034010916290269214,
"mc1": 0.4222766217870257,
"mc1_stderr": 0.017290733254248174,
"mc2": 0.5783301386651128,
"mc2_stderr": 0.01580070269822175
},
"harness|arc:challenge|25": {
"acc": 0.5921501706484642,
"acc_stderr": 0.0143610972884497,
"acc_norm": 0.6245733788395904,
"acc_norm_stderr": 0.014150631435111728
},
"harness|hellaswag|10": {
"acc": 0.6488747261501693,
"acc_stderr": 0.004763465139038561,
"acc_norm": 0.8434574785899224,
"acc_norm_stderr": 0.0036262628054422106
},
"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": 0.6,
"acc_stderr": 0.04232073695151589,
"acc_norm": 0.6,
"acc_norm_stderr": 0.04232073695151589
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.5855263157894737,
"acc_stderr": 0.04008973785779206,
"acc_norm": 0.5855263157894737,
"acc_norm_stderr": 0.04008973785779206
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6566037735849056,
"acc_stderr": 0.029224526469124792,
"acc_norm": 0.6566037735849056,
"acc_norm_stderr": 0.029224526469124792
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6944444444444444,
"acc_stderr": 0.03852084696008534,
"acc_norm": 0.6944444444444444,
"acc_norm_stderr": 0.03852084696008534
},
"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": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.38,
"acc_stderr": 0.04878317312145633,
"acc_norm": 0.38,
"acc_norm_stderr": 0.04878317312145633
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6358381502890174,
"acc_stderr": 0.03669072477416906,
"acc_norm": 0.6358381502890174,
"acc_norm_stderr": 0.03669072477416906
},
"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": 0.04461960433384739,
"acc_norm": 0.73,
"acc_norm_stderr": 0.04461960433384739
},
"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": 0.4298245614035088,
"acc_stderr": 0.046570472605949625,
"acc_norm": 0.4298245614035088,
"acc_norm_stderr": 0.046570472605949625
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.496551724137931,
"acc_stderr": 0.041665675771015785,
"acc_norm": 0.496551724137931,
"acc_norm_stderr": 0.041665675771015785
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.38095238095238093,
"acc_stderr": 0.0250107491161376,
"acc_norm": 0.38095238095238093,
"acc_norm_stderr": 0.0250107491161376
},
"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": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7451612903225806,
"acc_stderr": 0.02479011845933221,
"acc_norm": 0.7451612903225806,
"acc_norm_stderr": 0.02479011845933221
},
"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": 0.68,
"acc_stderr": 0.04688261722621505,
"acc_norm": 0.68,
"acc_norm_stderr": 0.04688261722621505
},
"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": 0.7474747474747475,
"acc_stderr": 0.030954055470365907,
"acc_norm": 0.7474747474747475,
"acc_norm_stderr": 0.030954055470365907
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8290155440414507,
"acc_stderr": 0.02717121368316453,
"acc_norm": 0.8290155440414507,
"acc_norm_stderr": 0.02717121368316453
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6128205128205129,
"acc_stderr": 0.024697216930878934,
"acc_norm": 0.6128205128205129,
"acc_norm_stderr": 0.024697216930878934
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3592592592592593,
"acc_stderr": 0.029252905927251972,
"acc_norm": 0.3592592592592593,
"acc_norm_stderr": 0.029252905927251972
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6512605042016807,
"acc_stderr": 0.030956636328566545,
"acc_norm": 0.6512605042016807,
"acc_norm_stderr": 0.030956636328566545
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.32450331125827814,
"acc_stderr": 0.038227469376587525,
"acc_norm": 0.32450331125827814,
"acc_norm_stderr": 0.038227469376587525
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8110091743119267,
"acc_stderr": 0.016785481159203627,
"acc_norm": 0.8110091743119267,
"acc_norm_stderr": 0.016785481159203627
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5462962962962963,
"acc_stderr": 0.03395322726375798,
"acc_norm": 0.5462962962962963,
"acc_norm_stderr": 0.03395322726375798
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7745098039215687,
"acc_stderr": 0.029331162294251735,
"acc_norm": 0.7745098039215687,
"acc_norm_stderr": 0.029331162294251735
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7215189873417721,
"acc_stderr": 0.029178682304842538,
"acc_norm": 0.7215189873417721,
"acc_norm_stderr": 0.029178682304842538
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6322869955156951,
"acc_stderr": 0.03236198350928276,
"acc_norm": 0.6322869955156951,
"acc_norm_stderr": 0.03236198350928276
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.6641221374045801,
"acc_stderr": 0.041423137719966634,
"acc_norm": 0.6641221374045801,
"acc_norm_stderr": 0.041423137719966634
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7107438016528925,
"acc_stderr": 0.04139112727635463,
"acc_norm": 0.7107438016528925,
"acc_norm_stderr": 0.04139112727635463
},
"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": 0.7055214723926381,
"acc_stderr": 0.03581165790474082,
"acc_norm": 0.7055214723926381,
"acc_norm_stderr": 0.03581165790474082
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.35714285714285715,
"acc_stderr": 0.04547960999764376,
"acc_norm": 0.35714285714285715,
"acc_norm_stderr": 0.04547960999764376
},
"harness|hendrycksTest-management|5": {
"acc": 0.7281553398058253,
"acc_stderr": 0.044052680241409216,
"acc_norm": 0.7281553398058253,
"acc_norm_stderr": 0.044052680241409216
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8760683760683761,
"acc_stderr": 0.02158649400128137,
"acc_norm": 0.8760683760683761,
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
eljanmahammadli/glue-mrpc-azerbaijani | eljanmahammadli | 2023-12-04T17:17:55Z | 2 | 0 | [
"task_categories:text-classification",
"language:az",
"license:mit",
"region:us"
]
| [
"text-classification"
]
| 2023-12-04T00:59:43Z | ---
license: mit
task_categories:
- text-classification
language:
- az
---
This dataset represents a translated version of the [GLUE/MRPC](https://huggingface.co/datasets/glue/viewer/mrpc) dataset, generated using the Google Translate API. | [
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|
Saire2023/first-demo | Saire2023 | 2023-12-04T18:35:47Z | 2 | 0 | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"music",
"region:us"
]
| [
"audio-classification"
]
| 2023-12-04T16:41:22Z | ---
license: apache-2.0
task_categories:
- audio-classification
language:
- en
tags:
- music
pretty_name: speaker-classification
size_categories:
- 1K<n<10K
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|
jq/audio_mock_1 | jq | 2023-12-04T18:04:40Z | 2 | 0 | [
"region:us"
]
| null | 2023-12-04T18:04:39Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: audio_language
dtype: string
- name: is_studio
dtype: bool
- name: speaker_id
dtype: string
splits:
- name: train
num_bytes: 716.0
num_examples: 8
download_size: 3877
dataset_size: 716.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
kpriyanshu256/semeval-task-8-a-mono-v2-test-paraphrase | kpriyanshu256 | 2023-12-04T18:31:41Z | 2 | 0 | [
"region:us"
]
| null | 2023-12-04T18:31:39Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: model
dtype: string
- name: source
dtype: string
- name: id
dtype: int64
- name: paraphrase
dtype: string
splits:
- name: test
num_bytes: 17577049
num_examples: 5000
download_size: 10064093
dataset_size: 17577049
---
# Dataset Card for "semeval-task-8-a-mono-v2-test-paraphrase"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
mfidabel/gn_common_voice_15 | mfidabel | 2023-12-04T20:18:54Z | 2 | 0 | [
"license:cc0-1.0",
"region:us"
]
| null | 2023-12-04T20:18:09Z | ---
license: cc0-1.0
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
splits:
- name: train
num_bytes: 38476484.336
num_examples: 1556
- name: test
num_bytes: 24069758.0
num_examples: 846
- name: validation
num_bytes: 10009969.0
num_examples: 359
- name: validated
num_bytes: 80961023.572
num_examples: 2876
- name: other
num_bytes: 451640480.154
num_examples: 16757
- name: invalidated
num_bytes: 4585865.0
num_examples: 158
download_size: 594415360
dataset_size: 609743580.062
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
- split: validated
path: data/validated-*
- split: other
path: data/other-*
- split: invalidated
path: data/invalidated-*
---
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|
Thefoodprocessor/rewrite_instructions | Thefoodprocessor | 2023-12-04T20:46:44Z | 2 | 0 | [
"region:us"
]
| null | 2023-12-04T20:46:38Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: recipe
dtype: string
- name: instructions
dtype: string
splits:
- name: train
num_bytes: 160686477
num_examples: 74465
download_size: 81466147
dataset_size: 160686477
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
kfahn/3d_gears | kfahn | 2023-12-04T21:03:23Z | 2 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T20:54:14Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': dark
'1': light
splits:
- name: train
num_bytes: 296821064
num_examples: 4000
download_size: 264360785
dataset_size: 296821064
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
---
I created these images using a p5.js. I first rendered them in a GIF, uploaded to Google Drive, and then extracted the individual frames
from the GIF.
The light background gears images were generated in p5.js using this [sketch](https://editor.p5js.org/kfahn/sketches/mJ4FOnPy5).
The dark background gears images were generated in p5.js using this [sketch](https://editor.p5js.org/kfahn/sketches/mJ4FOnPy5). | [
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|
andrewatef/test123 | andrewatef | 2023-12-04T23:07:35Z | 2 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T23:02:03Z | ---
license: apache-2.0
---
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|
vinidiol/swpc_test_llama2_Xk | vinidiol | 2023-12-04T23:07:43Z | 2 | 0 | [
"license:cc-by-nc-nd-4.0",
"region:us"
]
| null | 2023-12-04T23:07:19Z | ---
license: cc-by-nc-nd-4.0
---
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|
minoruskore/asfijioasfwlf | minoruskore | 2023-12-04T19:31:08Z | 1 | 0 | [
"region:us"
]
| null | 2023-10-07T15:01:52Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': AJ_Cook
'1': AJ_Lamas
'2': Aaron_Eckhart
'3': Aaron_Guiel
'4': Aaron_Patterson
'5': Aaron_Peirsol
'6': Aaron_Pena
'7': Aaron_Sorkin
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'12': Abdel_Madi_Shabneh
'13': Abdel_Nasser_Assidi
'14': Abdoulaye_Wade
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'16': Abdul_Rahman
'17': Abdulaziz_Kamilov
'18': Abdullah
'19': Abdullah_Ahmad_Badawi
'20': Abdullah_Gul
'21': Abdullah_Nasseef
'22': Abdullah_al-Attiyah
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'1954': Grace_Kelly
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'1958': Grady_Little
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'1960': Graeme_Smith
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'1963': Grant_Rossenmeyer
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'1967': Greg_Hennigar
'1968': Greg_Hodge
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'1972': Greg_Owen
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'1978': Gregorio_Rosal
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'1983': Griffin_Colvin
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'1986': Guennadi_Chipouline
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'1988': Guido_Westerwelle
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'1993': Guillermo_Coria
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'1995': Guillermo_Ortiz
'1996': Guillermo_Ruiz_Polanco
'1997': Gunilla_Backman
'1998': Gunter_Pleuger
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'2000': Gus_Van_Sant
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'2007': Guy_Hemmings
'2008': Guy_Ritchie
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'2011': Gwendal_Peizerat
'2012': Gwyneth_Paltrow
'2013': Habib_Hisham
'2014': Habib_Rizieq
'2015': Hadley_Bilger
'2016': Hal_Gehman
'2017': Hal_McCoy
'2018': Hal_Sellers
'2019': Hal_Sutton
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'2066': Hassan_Nasrallah
'2067': Hassan_Wirajuda
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'2075': Heather_Locklear
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'2080': Hector_Grullon
'2081': Hector_Mitelman
'2082': Hedayat_Amin_Arsala
'2083': Hee-Won_Han
'2084': Heidi_Fleiss
'2085': Heidi_Klum
'2086': Heinrich_Wolfgang
'2087': Heinz_Feldmann
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'2090': Helen_Clark
'2091': Helen_Darling
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'2094': Helio_Castroneves
'2095': Helio_Rubens_Garcia
'2096': Helmut_Panke
'2097': Helo_Pinheiro
'2098': Henk_Bekedam
'2099': Henning_Scherf
'2100': Henri_Proglio
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'2106': Henry_Suazo
'2107': Herb_Brooks
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'2109': Herb_Ritts
'2110': Herb_Sendek
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'2114': Herman_Moore
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'2119': Hernan_Crespo
'2120': Hernan_Diaz
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'2122': Hestrie_Cloette
'2123': Hichiro_Naemura
'2124': Hideki_Matsui
'2125': Hideki_Sato
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'2127': Hikmat_al-Azzawi
'2128': Hilary_Duff
'2129': Hilary_McKay
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'2135': Hipolito_Mejia
'2136': Hiroki_Gomi
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'2153': Horst_Koehler
'2154': Hosni_Mubarak
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'2177': Hugo_Conte
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'2179': Humberto_Espinoza
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'2186': Hussein_Malik
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'2188': Hwang_Doo-yun
'2189': Iain_Anderson
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'2199': Ian_Thorpe
'2200': Ian_Wilmut
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'2211': Igor_Trunov
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'2222': Inam-ul-Haq
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'2227': Intisar_Ajouri
'2228': Ion_Iliescu
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'2273': Jack_Nicholson
'2274': Jack_Osbourne
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'2276': Jack_Straw
'2277': Jack_Valenti
'2278': Jack_Welch
'2279': Jackie_Chan
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'2289': Jacques_Kallis
'2290': Jacques_Rogge
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'2299': Jake_Plummer
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'2310': James_Brown
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'2312': James_Caan
'2313': James_Cameron
'2314': James_Carville
'2315': James_Coburn
'2316': James_Collinson
'2317': James_Comey
'2318': James_Coviello
'2319': James_Cunningham
'2320': James_Dingemans
'2321': James_Franco
'2322': James_Gandolfini
'2323': James_Gibson
'2324': James_Hakett
'2325': James_Hallock
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'2328': James_Hoffa
'2329': James_Hughes
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'2331': James_Jones
'2332': James_Kelly
'2333': James_Kirtley
'2334': James_Kopp
'2335': James_Layug
'2336': James_Lockhart
'2337': James_Maguire
'2338': James_Mathis
'2339': James_May
'2340': James_McGreevey
'2341': James_McMahon
'2342': James_McPherson
'2343': James_Meeks
'2344': James_Meredeth
'2345': James_Morris
'2346': James_Murdoch
'2347': James_Parker
'2348': James_Phelps
'2349': James_Roberts
'2350': James_Robertson_Jr
'2351': James_Schultz
'2352': James_Sensenbrenner
'2353': James_Smith
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'2355': James_Traficant
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'2357': James_Wallack
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'2359': James_Wattana
'2360': James_Williams
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'2362': James_Young
'2363': Jamie_Carey
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'2376': Jan_De_Bont
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'2379': Jan_Petersen
'2380': Jan_Pronk
'2381': Jan_Ullrich
'2382': Jan_van_Breda_Kolff
'2383': Jana_Henke
'2384': Jana_Pittman
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'2388': Jane_Krakowski
'2389': Jane_Leeves
'2390': Jane_Menelaus
'2391': Jane_Pauley
'2392': Jane_Riley
'2393': Jane_Rooney
'2394': Jane_Russell
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'2422': Jason_Kapono
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'2425': Jason_Lezak
'2426': Jason_Mewes
'2427': Jason_Petty
'2428': Jason_Priestley
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'2431': Jason_Statham
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'2441': Javier_Weber
'2442': Javier_Zanetti
'2443': Jawad_Boulus
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'2446': Jay_Rasulo
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'2456': Jean-Francois_Pontal
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'2458': Jean-Marc_Olive
'2459': Jean-Marc_de_La_Sabliere
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'2462': Jean-Pierre_Raffarin
'2463': Jean-Rene_Fourtou
'2464': Jean-Sebastien_Giguere
'2465': Jean_Brumley
'2466': Jean_Carnahan
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'2470': Jean_Todt
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'2504': Jennie_Finch
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'2511': Jennifer_Granholm
'2512': Jennifer_Gratz
'2513': Jennifer_Keller
'2514': Jennifer_Lopez
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'2516': Jennifer_McCoy
'2517': Jennifer_Murray
'2518': Jennifer_Pena
'2519': Jennifer_Reilly
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'2521': Jennifer_Rodriguez
'2522': Jennifer_Thompson
'2523': Jennifer_Tilly
'2524': Jenny_Romero
'2525': Jens_Lehmann
'2526': Jeong_Se-hyun
'2527': Jerelle_Kraus
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'2530': Jeremy_Greenstock
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'2537': Jerry_Bruckheimer
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'2539': Jerry_Falwell
'2540': Jerry_Hall
'2541': Jerry_Jones
'2542': Jerry_Lewis
'2543': Jerry_McEntee
'2544': Jerry_Oliver
'2545': Jerry_Pauley
'2546': Jerry_Regier
'2547': Jerry_Rice
'2548': Jerry_Seinfeld
'2549': Jerry_Sexton
'2550': Jerry_Sloan
'2551': Jerry_Springer
'2552': Jerry_Tarkanian
'2553': Jesper_Parnevik
'2554': Jesse_Harris
'2555': Jesse_Helms
'2556': Jesse_Jackson
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'2561': Jessica_Biel
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'2563': Jessica_Capshaw
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'2566': Jessica_Simpson
'2567': Jesus_Cardenal
'2568': Jewel_Howard-Taylor
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'2571': Jim_Abbott
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'2587': Jim_Hahn
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'2591': Jim_Hendry
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'2594': Jim_Leach
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'2597': Jim_OBrien
'2598': Jim_Otto
'2599': Jim_Parque
'2600': Jim_Paxson
'2601': Jim_Piper
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'2610': Jim_Wall
'2611': Jim_Wessling
'2612': Jim_Wong
'2613': Jim_Zorn
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'2615': Jimmy_Gobble
'2616': Jimmy_Gurule
'2617': Jimmy_Iovine
'2618': Jimmy_Jimenez
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'2621': Jimmy_Smits
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'2647': Joe_Cravens
'2648': Joe_Crede
'2649': Joe_Darrell
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'2651': Joe_Dicaro
'2652': Joe_Dumars
'2653': Joe_Finley
'2654': Joe_Friedberg
'2655': Joe_Garner
'2656': Joe_Gatti
'2657': Joe_Glover
'2658': Joe_Leonard
'2659': Joe_Lieberman
'2660': Joe_Mantegna
'2661': Joe_Mantello
'2662': Joe_Mendes
'2663': Joe_Metz
'2664': Joe_Nichols
'2665': Joe_Pantoliano
'2666': Joe_Paterno
'2667': Joe_Plumeri
'2668': Joe_Strummer
'2669': Joe_Torre
'2670': Joe_Vandever
'2671': Joel_Gallen
'2672': Joel_Todd
'2673': Joerg_Haider
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'2675': Joey_Harrington
'2676': Joey_Mantia
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'2683': John_Baldacci
'2684': John_Banko
'2685': John_Barnett
'2686': John_Belushi
'2687': John_Blaney
'2688': John_Bolton
'2689': John_Bond
'2690': John_Brady
'2691': John_Burkett
'2692': John_Burnett
'2693': John_Connolly
'2694': John_Coomber
'2695': John_Cornyn
'2696': John_Cruz
'2697': John_Cusack
'2698': John_Dallager
'2699': John_Daly_Jr
'2700': John_Danforth
'2701': John_Darby
'2702': John_Duprey
'2703': John_Eastman
'2704': John_Eder
'2705': John_Edwards
'2706': John_Elway
'2707': John_Engler
'2708': John_F_Kennedy_Jr
'2709': John_Fenn
'2710': John_Ferguson
'2711': John_Fox
'2712': John_Franco
'2713': John_Garamendi
'2714': John_Geoghan
'2715': John_Goold
'2716': John_Gordnick
'2717': John_Gruden
'2718': John_Hartson
'2719': John_Henry
'2720': John_Herrington
'2721': John_Howard
'2722': John_Jones
'2723': John_Jumper
'2724': John_Kerr
'2725': John_Kerry
'2726': John_Lawrence
'2727': John_Leguizamo
'2728': John_Lennon
'2729': John_Lisowski
'2730': John_Lithgow
'2731': John_Lynch
'2732': John_Mabry
'2733': John_Madden
'2734': John_Malkovich
'2735': John_Manley
'2736': John_Marburger
'2737': John_Mayer
'2738': John_McCain
'2739': John_McCallum
'2740': John_McCormack
'2741': John_McEnroe
'2742': John_McKay
'2743': John_Moe
'2744': John_Moxley
'2745': John_Nash
'2746': John_Negroponte
'2747': John_Nimmo
'2748': John_Norquist
'2749': John_Paul_DeJoria
'2750': John_Paul_II
'2751': John_Perrota
'2752': John_Petty
'2753': John_Philip_Elkann
'2754': John_Prescott
'2755': John_Reid
'2756': John_Reilly
'2757': John_Richardson
'2758': John_Rigas
'2759': John_Robbins
'2760': John_Rosa
'2761': John_Rowe
'2762': John_Rowland
'2763': John_Ruiz
'2764': John_Rusnak
'2765': John_Salazar
'2766': John_Scarlett
'2767': John_Sidgmore
'2768': John_Snow
'2769': John_Spencer
'2770': John_Stallworth
'2771': John_Starks
'2772': John_Stockton
'2773': John_Sununu
'2774': John_Sweeney
'2775': John_Swofford
'2776': John_Taylor
'2777': John_Thune
'2778': John_Timoney
'2779': John_Travolta
'2780': John_Tyson
'2781': John_Velazquez
'2782': John_Walsh
'2783': John_Warner
'2784': John_Wayne
'2785': John_White
'2786': John_Williams
'2787': John_Wolf
'2788': John_Wright
'2789': Johnnie_Lynn
'2790': Johnny_Benson
'2791': Johnny_Carson
'2792': Johnny_Depp
'2793': Johnny_Hallyday
'2794': Johnny_Htu
'2795': Johnny_Tapia
'2796': Johnny_Unitas
'2797': Johnson_Panjaitan
'2798': Jolanta_Kwasniewski
'2799': Jon_Constance
'2800': Jon_Corzine
'2801': Jon_Gruden
'2802': Jon_Kitna
'2803': Jon_Stewart
'2804': Jon_Voight
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'4234': Patti_Lank
'4235': Patti_Smith
'4236': Patty_Duke
'4237': Patty_Schnyder
'4238': Patty_Sheehan
'4239': Paul-Henri_Mathieu
'4240': Paul_Bettany
'4241': Paul_Brandt
'4242': Paul_Bremer
'4243': Paul_Burrell
'4244': Paul_Byrd
'4245': Paul_Celluci
'4246': Paul_Cerjan
'4247': Paul_Clark
'4248': Paul_Coppin
'4249': Paul_Crake
'4250': Paul_Desmarais
'4251': Paul_Ebert
'4252': Paul_Farley
'4253': Paul_Gannon
'4254': Paul_Gascoigne
'4255': Paul_Greengrass
'4256': Paul_Henderson
'4257': Paul_Hogan
'4258': Paul_Johnson
'4259': Paul_Kagame
'4260': Paul_Kariya
'4261': Paul_Kelleher
'4262': Paul_Krueger
'4263': Paul_LeClerc
'4264': Paul_Li_Calsi
'4265': Paul_Lo_Duca
'4266': Paul_Lockhart
'4267': Paul_Luvera
'4268': Paul_Martin
'4269': Paul_McCartney
'4270': Paul_McNulty
'4271': Paul_Michael_Daniels
'4272': Paul_Murphy
'4273': Paul_Newman
'4274': Paul_ONeill
'4275': Paul_Otellini
'4276': Paul_Patton
'4277': Paul_Pierce
'4278': Paul_Reiser
'4279': Paul_Sarbanes
'4280': Paul_Schrader
'4281': Paul_Shanley
'4282': Paul_Tagliabue
'4283': Paul_Tracy
'4284': Paul_Vathis
'4285': Paul_Walker
'4286': Paul_Wals
'4287': Paul_Wellstone
'4288': Paul_William_Hurley
'4289': Paul_Wilson
'4290': Paul_Wolfowitz
'4291': Paul_Wollnough
'4292': Paula_Abdul
'4293': Paula_Dobriansky
'4294': Paula_Locke
'4295': Paula_Prentiss
'4296': Paula_Radcliffe
'4297': Paula_Zahn
'4298': Pauley_Perrette
'4299': Paulie_Ayala
'4300': Paulina_Rodriguez_Davila
'4301': Pauline_Landers
'4302': Pauline_Phillips
'4303': Paulo_Cesar_Pinheiro
'4304': Pedro_Almodovar
'4305': Pedro_Alvarez
'4306': Pedro_Duque
'4307': Pedro_Mahecha
'4308': Pedro_Malan
'4309': Pedro_Martinez
'4310': Pedro_Pauleta
'4311': Pedro_Solbes
'4312': Pedro_Velasquez
'4313': Peggy_McGuinness
'4314': Pele
'4315': Penelope_Ann_Miller
'4316': Penelope_Cruz
'4317': Penelope_Taylor
'4318': Penny_Dupuie
'4319': Penny_Lancaster
'4320': Percy_Gibson
'4321': Peri_Gilpin
'4322': Pernilla_Bjorn
'4323': Perri_Shaw
'4324': Perry_Compton
'4325': Perry_Farrell
'4326': Perry_Gibbs
'4327': Pervez_Musharraf
'4328': Pete_Aldridge
'4329': Pete_Beaudrault
'4330': Pete_Carroll
'4331': Pete_Gillen
'4332': Pete_Rose
'4333': Pete_Sampras
'4334': Peter_Ahearn
'4335': Peter_Albertsen
'4336': Peter_Arnett
'4337': Peter_Bacanovic
'4338': Peter_Camejo
'4339': Peter_Care
'4340': Peter_Caruana
'4341': Peter_Chan
'4342': Peter_Costello
'4343': Peter_Fisher
'4344': Peter_Fitzgerald
'4345': Peter_Fonda
'4346': Peter_Gabriel
'4347': Peter_Gilmour
'4348': Peter_Goldmark
'4349': Peter_Greenaway
'4350': Peter_Greenspun
'4351': Peter_Harrison
'4352': Peter_Hartz
'4353': Peter_Harvey
'4354': Peter_Hillary
'4355': Peter_Hollingworth
'4356': Peter_Holmberg
'4357': Peter_Hunt
'4358': Peter_Lundgren
'4359': Peter_Mackay
'4360': Peter_Mansbridge
'4361': Peter_Max
'4362': Peter_Medgyessy
'4363': Peter_Mugyeni
'4364': Peter_Mullan
'4365': Peter_OToole
'4366': Peter_Rasch
'4367': Peter_Rasmussen
'4368': Peter_Schultz
'4369': Peter_Sejna
'4370': Peter_Shaw
'4371': Peter_Struck
'4372': Peter_Ueberroth
'4373': Petria_Thomas
'4374': Petro_Symonenko
'4375': Pham_Sy_Chien
'4376': Pham_Thi_Mai_Phuong
'4377': Phan_Van_Khai
'4378': Pharrell_Williams
'4379': Phil_Bennett
'4380': Phil_Bredesen
'4381': Phil_Cline
'4382': Phil_Cullen
'4383': Phil_Donahue
'4384': Phil_Gramm
'4385': Phil_Jackson
'4386': Phil_Johnson
'4387': Phil_McGraw
'4388': Phil_Mickelson
'4389': Phil_Morris
'4390': Phil_Vassar
'4391': Philip_Cummings
'4392': Philip_Murtaugh
'4393': Philip_Zalewski
'4394': Philippe_Gagnon
'4395': Philippe_Noiret
'4396': Phillip_Fulmer
'4397': Phillip_Seymor_Hoffmann
'4398': Phillipe_Comtois
'4399': Phillips_Idowu
'4400': Phoenix_Chang
'4401': Picabo_Street
'4402': Pier_Ferdinando_Casini
'4403': Pierce_Brosnan
'4404': Pierre_Boulanger
'4405': Pierre_Gagnon
'4406': Pierre_Lacroix
'4407': Pierre_Pettigrew
'4408': Pierre_Png
'4409': Pierre_Van_Hooijdonk
'4410': Piers_Sellers
'4411': Pieter_Bouw
'4412': Pilar_Montenegro
'4413': Pinar_del_Rio
'4414': Pio_Laghi
'4415': Piotr_Anderszewski
'4416': Placido_Domingo
'4417': Platon_Lebedev
'4418': Poala_Suarez
'4419': Polona_Bas
'4420': Porter_Goss
'4421': Portia_de_Rossi
'4422': Prakash_Hinduja
'4423': Prem_Kumar_Nair
'4424': Prince_Charles
'4425': Prince_Claus
'4426': Prince_Edward
'4427': Prince_Felipe
'4428': Prince_Harry
'4429': Prince_Naruhito
'4430': Prince_Philippe
'4431': Prince_Rainier_III
'4432': Prince_Willem-Alexander
'4433': Prince_William
'4434': Princess_Aiko
'4435': Princess_Anne
'4436': Princess_Caroline
'4437': Princess_Diana
'4438': Princess_Elisabeth
'4439': Princess_Hisako
'4440': Princess_Masako
'4441': Princess_Maxima
'4442': Princess_Stephanie
'4443': Princess_Victoria
'4444': Pringe_Ernst_August
'4445': Priscilla_Owen
'4446': Priscilla_Presley
'4447': Priyanka_Chopra
'4448': Prospero_Pichay
'4449': Pupi_Avati
'4450': Pyar_Jung_Thapa
'4451': Qais_al-Kazali
'4452': Qazi_Afzal
'4453': Qazi_Hussain_Ahmed
'4454': Qian_Qichen
'4455': Queen_Beatrix
'4456': Queen_Elizabeth_II
'4457': Queen_Latifah
'4458': Queen_Noor
'4459': Queen_Rania
'4460': Queen_Silvia
'4461': Queen_Sofia
'4462': Quin_Snyder
'4463': Quincy_Jones
'4464': Qusai_Hussein
'4465': Raaf_Schefter
'4466': Raag_Singhal
'4467': Rachel_Corrie
'4468': Rachel_Griffiths
'4469': Rachel_Hunter
'4470': Rachel_Kempson
'4471': Rachel_Leigh_Cook
'4472': Rachel_Roy
'4473': Rachel_Wadsworth
'4474': Rachel_Wheatley
'4475': Radovan_Karadzic
'4476': Raf_Vallone
'4477': Rafael_Bielsa
'4478': Rafael_Ramirez
'4479': Rafael_Vinoly
'4480': Rafeeuddin_Ahmed
'4481': Rafidah_Aziz
'4482': Rafiq_Hariri
'4483': Raghad_Saddam_Hussein
'4484': Rahul_Dravid
'4485': Rainer_Geulen
'4486': Rainer_Gut
'4487': Rainer_Schuettler
'4488': Raja_Ibrahim
'4489': Raja_Qureshi
'4490': Raja_Ramani
'4491': Raja_Zafar-ul-Haq
'4492': Ralf_Schumacher
'4493': Ralph_Fiennes
'4494': Ralph_Firman
'4495': Ralph_Friedgen
'4496': Ralph_Goodale
'4497': Ralph_Klein
'4498': Ralph_Lauren
'4499': Ralph_Nader
'4500': Ralph_Sampson
'4501': Ramiro_Goben_Reducindo
'4502': Ramon_Cardenas
'4503': Ramon_Delgado
'4504': Ramon_Ponce_de_Leon
'4505': Ramon_Santana
'4506': Ramona_Rispton
'4507': Rand_Beers
'4508': Rand_Miller
'4509': Randall_Terry
'4510': Randall_Tobias
'4511': Randy_Brown
'4512': Randy_Dryer
'4513': Randy_Ferbey
'4514': Randy_Jackson
'4515': Randy_Johnson
'4516': Randy_Travis
'4517': Rani_Mukherjee
'4518': Ranil_Wickremasinghe
'4519': Raoul_Ruiz
'4520': Raquel_Welch
'4521': Rashid_Qureshi
'4522': Ratna_Sari_Dewi_Sukarno
'4523': Raul_Castaneda
'4524': Raul_Chacon
'4525': Raul_Cubas
'4526': Raul_Gonzalez
'4527': Raul_Ibanez
'4528': Raul_Mondesi
'4529': Raul_Rivero
'4530': Ravan_AG_Farhadi
'4531': Ray_Allen
'4532': Ray_Bradbury
'4533': Ray_Evernham
'4534': Ray_Halbritter
'4535': Ray_Lewis
'4536': Ray_Liotta
'4537': Ray_Lucas
'4538': Ray_Morrough
'4539': Ray_Nagin
'4540': Ray_Price
'4541': Ray_Romano
'4542': Ray_Sherman
'4543': Ray_Wasden
'4544': Ray_Young
'4545': Raymond_Arthurs
'4546': Raymond_Odierno
'4547': Raza_Rabbani
'4548': Razali_Ismail
'4549': Rebecca_Romijn-Stamos
'4550': Rebekah_Chantay_Revels
'4551': Recep_Tayyip_Erdogan
'4552': Red_Auerbach
'4553': Reese_Witherspoon
'4554': Reggie_Lewis
'4555': Reggie_Miller
'4556': Reggie_Sanders
'4557': Regina_Ip
'4558': Reginald_Hudlin
'4559': Reina_Hayes
'4560': Reinhard_Buetikofer
'4561': Ren_Qingjin
'4562': Rena_Sofer
'4563': Renato_Soru
'4564': Rene_Antonio_Leon_Rodriguez
'4565': Rene_Portland
'4566': Renee_Zellweger
'4567': Retief_Goosen
'4568': Rey_Sanchez
'4569': Reyyan_Uzuner
'4570': Rhett_Warrener
'4571': Rhina_Villatoro
'4572': Ricardo_Lagos
'4573': Ricardo_Lopez_Murphy
'4574': Ricardo_Maduro
'4575': Ricardo_Mayorga
'4576': Ricardo_Monasterio
'4577': Ricardo_Sanchez
'4578': Riccardo_Muti
'4579': Rich_Brooks
'4580': Rich_Gannon
'4581': Richard_Armitage
'4582': Richard_Barry
'4583': Richard_Branson
'4584': Richard_Butler
'4585': Richard_Carl
'4586': Richard_Chamberlain
'4587': Richard_Cohen
'4588': Richard_Crenna
'4589': Richard_Daley
'4590': Richard_Dreyfuss
'4591': Richard_Fine
'4592': Richard_Gephardt
'4593': Richard_Gere
'4594': Richard_Greenberg
'4595': Richard_Haass
'4596': Richard_Hamilton
'4597': Richard_Harris
'4598': Richard_Hellfant
'4599': Richard_Jefferson
'4600': Richard_Jewell
'4601': Richard_Krajicek
'4602': Richard_Langille
'4603': Richard_Lennon
'4604': Richard_Levin
'4605': Richard_Lugar
'4606': Richard_Myers
'4607': Richard_Naughton
'4608': Richard_Norton-Taylor
'4609': Richard_Palmer
'4610': Richard_Parsons
'4611': Richard_Paul_Evans
'4612': Richard_Penniman
'4613': Richard_Pennington
'4614': Richard_Perle
'4615': Richard_Regenhard
'4616': Richard_Reid
'4617': Richard_Rodriguez
'4618': Richard_Sambrook
'4619': Richard_Shelby
'4620': Richard_Sterner
'4621': Richard_Tubb
'4622': Richard_Virenque
'4623': Richard_Ward
'4624': Richie_Adubato
'4625': Rick_Barnes
'4626': Rick_Bland
'4627': Rick_Bragg
'4628': Rick_Carlisle
'4629': Rick_Caruso
'4630': Rick_Dinse
'4631': Rick_Husband
'4632': Rick_Lu
'4633': Rick_Perry
'4634': Rick_Pitino
'4635': Rick_Reed
'4636': Rick_Rickert
'4637': Rick_Romley
'4638': Rick_Santorum
'4639': Rick_Stansbury
'4640': Rick_Wagoner
'4641': Ricky_Barnes
'4642': Ricky_Cottrill
'4643': Ricky_Martin
'4644': Ricky_Ponting
'4645': Ricky_Quick
'4646': Ricky_Ray
'4647': Ridley_Scott
'4648': Riek_Blanjaar
'4649': Rien_Long
'4650': Rina_Lazo
'4651': Ringo_Starr
'4652': Rio_Ferdinand
'4653': Rita_Grande
'4654': Rita_Moreno
'4655': Rita_Wilson
'4656': Rob_Lowe
'4657': Rob_Marshall
'4658': Rob_Moore
'4659': Rob_Morrow
'4660': Rob_Niedermayer
'4661': Rob_Ramsay
'4662': Rob_Schneider
'4663': Robbie_Coltrane
'4664': Robbie_Fowler
'4665': Robbie_Mc_Ewen
'4666': Robbie_Naish
'4667': Robbie_Williams
'4668': Robby_Ginepri
'4669': Robert_Altman
'4670': Robert_Beck
'4671': Robert_Blackwill
'4672': Robert_Blake
'4673': Robert_Bonner
'4674': Robert_Bullock
'4675': Robert_DeFraites
'4676': Robert_De_Niro
'4677': Robert_Douglas
'4678': Robert_Downey_Jr
'4679': Robert_Durst
'4680': Robert_Duvall
'4681': Robert_Ehrlich
'4682': Robert_Evans
'4683': Robert_F_Kennedy_Jr
'4684': Robert_Fico
'4685': Robert_Flodquist
'4686': Robert_Gallo
'4687': Robert_Gordon_Card
'4688': Robert_Hanssen
'4689': Robert_Horan
'4690': Robert_Hyatt
'4691': Robert_Kipkoech_Cheruiyot
'4692': Robert_Kocharian
'4693': Robert_Korzeniowski
'4694': Robert_Lange
'4695': Robert_Lee_Yates_Jr
'4696': Robert_Marshall
'4697': Robert_McKee
'4698': Robert_Morvillo
'4699': Robert_Mueller
'4700': Robert_Mugabe
'4701': Robert_Nardelli
'4702': Robert_Nillson
'4703': Robert_Pollack
'4704': Robert_Redford
'4705': Robert_Schuller
'4706': Robert_Stack
'4707': Robert_Torricelli
'4708': Robert_Towne
'4709': Robert_Tyrrell
'4710': Robert_Vowler
'4711': Robert_Wagner
'4712': Robert_Weitzel
'4713': Robert_Wiener
'4714': Robert_Witt
'4715': Robert_Woody_Johnson
'4716': Robert_Zoellick
'4717': Roberta_Combs
'4718': Roberto_Arguelles
'4719': Roberto_Benigni
'4720': Roberto_Canessa
'4721': Roberto_Carlos
'4722': Roberto_Cavalli
'4723': Roberto_Cercelletta
'4724': Roberto_Guaterroma
'4725': Roberto_Laratro
'4726': Roberto_Lavagna
'4727': Roberto_Marinho
'4728': Roberto_Robaina
'4729': Roberto_Tovar
'4730': Robin_Cook
'4731': Robin_Johansen
'4732': Robin_McGraw
'4733': Robin_McLaurin_Williams
'4734': Robin_Tunney
'4735': Robin_Wagner
'4736': Robin_Williams
'4737': Robin_Wright_Penn
'4738': Robinson_Stevenin
'4739': Rocco_Buttiglione
'4740': Rod_Blagojevich
'4741': Rod_Bryden
'4742': Rod_Jong-il
'4743': Rod_Paige
'4744': Rod_Stewart
'4745': Rod_Thorn
'4746': Rodney_Dangerfield
'4747': Rodney_Rempt
'4748': Rodolfo_Abalos
'4749': Rodrigo_Borja
'4750': Rodrigo_Rato
'4751': Rodrigo_de_la_Cerna
'4752': Roel_Campos
'4753': Rogelio_Montemayor
'4754': Rogelio_Ramos
'4755': Roger_Clemens
'4756': Roger_Cook
'4757': Roger_Corbett
'4758': Roger_Daltrey
'4759': Roger_Etchegaray
'4760': Roger_Federer
'4761': Roger_Grimes
'4762': Roger_King
'4763': Roger_Lyons
'4764': Roger_Machado
'4765': Roger_Mahony
'4766': Roger_Moore
'4767': Roger_Penske
'4768': Roger_Staubach
'4769': Roger_Suarez
'4770': Roger_Toussaint
'4771': Roger_Winter
'4772': Rogerio_Romero
'4773': Roh_Moo-hyun
'4774': Rohinton_Mistry
'4775': Rohman_al-Ghozi
'4776': Roland_Koch
'4777': Rolandas_Paksas
'4778': Rolf_Eckrodt
'4779': Rolf_Zimmermann
'4780': Rollie_Massimino
'4781': Romain_Duris
'4782': Roman_Abramovich
'4783': Roman_Coppola
'4784': Roman_Polanski
'4785': Roman_Tam
'4786': Romano_Prodi
'4787': Romario_Farias
'4788': Romeo_Gigli
'4789': Ron_Dittemore
'4790': Ron_Gonzales
'4791': Ron_Howard
'4792': Ron_Kirk
'4793': Ron_Lantz
'4794': Ron_Zook
'4795': Ronald_Brower
'4796': Ronald_Harwood
'4797': Ronald_Ito
'4798': Ronald_Kadish
'4799': Ronald_Kessler
'4800': Ronald_Perelman
'4801': Ronald_Post
'4802': Ronald_Reagan
'4803': Ronald_White
'4804': Ronald_Young_Jr
'4805': Ronaldo_Luis_Nazario_de_Lima
'4806': Ronde_Barber
'4807': Ronnie_Jagday
'4808': Ronnie_Musgrove
'4809': Rosa_Haywa_de_Condori
'4810': Rosalie_Perkov
'4811': Rosalyn_Carter
'4812': Rosario_Dawson
'4813': Rose_Linkins
'4814': Rose_Marie
'4815': Roseanne_Barr
'4816': Rosemarie_Stack
'4817': Rosie_Perez
'4818': Rosny_Desroches
'4819': Ross_Verba
'4820': Rowan_Williams
'4821': Roy_Blunt
'4822': Roy_Chaderton
'4823': Roy_Halladay
'4824': Roy_Jones_Jr
'4825': Roy_Moore
'4826': Roy_Rogers
'4827': Roy_Romanow
'4828': Roy_Williams
'4829': Ruano_Pascual
'4830': Ruben_Sierra
'4831': Ruben_Studdard
'4832': Ruben_Wolkowyski
'4833': Rubens_Barrichello
'4834': Rudi_Voeller
'4835': Rudolf_Schuster
'4836': Rudolph_Giuliani
'4837': Rudolph_Holton
'4838': Rudy_Tomjanovich
'4839': Rulon_Gardner
'4840': Rupert_Grint
'4841': Rupert_Murdoch
'4842': Russ_Ortiz
'4843': Russell_Coutts
'4844': Russell_Crowe
'4845': Russell_Simmons
'4846': Rustu_Recber
'4847': Ruth_Bader_Ginsburg
'4848': Ruth_Christofferson
'4849': Ruth_Dreifuss
'4850': Ruth_Harlow
'4851': Ruth_Pearce
'4852': Ruth_Stubbs
'4853': Ryan_Drese
'4854': Ryan_Goodman
'4855': Ryan_Leaf
'4856': Ryan_Newman
'4857': Ryan_Nyquist
'4858': SJ_Twu
'4859': S_Jayakumar
'4860': Saadi_Gadhafi
'4861': Sabah_Al-Ahmad_Al-Jaber_Al-Sabah
'4862': Saburo_Kawabuchi
'4863': Sachiko_Yamada
'4864': Sachin_Tendulkar
'4865': Sada_Jacobson
'4866': Sadam_Hassan
'4867': Saddam_Hussein
'4868': Sadie_Frost
'4869': Saeb_Erekat
'4870': Saeed_Anwar
'4871': Saeed_Mortazavi
'4872': Sahim_Alwan
'4873': Saied_Hadi_al_Mudarissi
'4874': Sally_Clark
'4875': Sally_Field
'4876': Sally_Kirkland
'4877': Sally_Ride
'4878': Salma_Hayek
'4879': Salman_Khan
'4880': Salman_Rushdie
'4881': Sam_Bith
'4882': Sam_Brownback
'4883': Sam_Gerald
'4884': Sam_Mendes
'4885': Sam_Rockwell
'4886': Sam_Torrance
'4887': Saman_Shali
'4888': Samantha_Daniels
'4889': Samantha_Ledster
'4890': Sami_Al-Arian
'4891': Samira_Makhmalbaf
'4892': Sammy_Knight
'4893': Sammy_Sosa
'4894': Samuel_Waksal
'4895': San_Lan
'4896': Sananda_Maitreya
'4897': Sandra_Banning
'4898': Sandra_Bullock
'4899': Sandra_Ceccarelli
'4900': Sandra_Day_OConner
'4901': Sandra_Milo
'4902': Sandra_Shamas
'4903': Sandy_Smith
'4904': Sandy_Wise
'4905': Sanja_Papic
'4906': Sanjay_Chawla
'4907': Sanjay_Gupta
'4908': Santiago_Botero
'4909': Saoud_Al_Faisal
'4910': Saparmurat_Niyazov
'4911': Sara_Elisabeth_Ahmad
'4912': Sara_Silverman
'4913': Sarah_Canale
'4914': Sarah_Hughes
'4915': Sarah_Jessica_Parker
'4916': Sarah_Michelle_Gellar
'4917': Sarah_Price
'4918': Sarah_Weddington
'4919': Sarah_Wynter
'4920': Sargis_Sargsian
'4921': Sasha_Alexander
'4922': Sasha_Cohen
'4923': Satnarine_Sharma
'4924': Scott_Blum
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'4926': Scott_Dickson
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'4933': Scott_McNealy
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'4939': Scott_Sullivan
'4940': Scott_Verplank
'4941': Scott_Wallach
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'4965': Serge_Klarsfeld
'4966': Serge_Melac
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'5058': Sonia_Lopez
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'5089': Stefano_Gabbana
'5090': Steffeny_Holtz
'5091': Steffi_Graf
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'5122': Stephen_Thompson
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'5126': Steve_Alford
'5127': Steve_Allan
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'5132': Steve_Ballmer
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'5135': Steve_Case
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'5138': Steve_Cox
'5139': Steve_Cutler
'5140': Steve_Fehr
'5141': Steve_Karsay
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'5157': Steve_Shiver
'5158': Steve_Spurrier
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'5184': Sue_Wicks
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'5188': Sultan_Qaboos
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'5190': Sung_Hong_Choi
'5191': Supachai_Panitchpakdi
'5192': Surakait_Sathirathai
'5193': Sureyya_Ayhan
'5194': Surya_Bahadur_Thapa
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'5200': Susie_Castillo
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'5205': Suzanne_Mubarak
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'5212': Svend_Robinson
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'5216': Svetoslav_Todorov
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'5218': Syed_Abdul_Rahman_Geelani
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'5228': Tab_Turner
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'5311': Thad_Matta
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'5313': Thalia
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'5429': Tom_Rouen
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'5690': Yasushi_Chimura
'5691': Yekaterina_Guseva
'5692': Yevgeny_Kafelnikov
'5693': Yingfan_Wang
'5694': Yishan_Zhang
'5695': Yoelbi_Quesada
'5696': Yogi_Berra
'5697': Yoko_Ono
'5698': Yolanda_King
'5699': Yoo_Jay-Kun
'5700': Yoon_Jeong_Cho
'5701': Yoon_Jin-Sik
'5702': Yoon_Won-Sik
'5703': Yoon_Young-kwan
'5704': Yoriko_Kawaguchi
'5705': Yory_Boy_Campas
'5706': Yoshiyuki_Kamei
'5707': Yossi_Beilin
'5708': Young_Kim
'5709': Yu_Shyi-kun
'5710': Yukiko_Okudo
'5711': Yukio_Hatoyama
'5712': Yuri_Fedotov
'5713': Yuri_Luzhkov
'5714': Yuri_Malenchenko
'5715': Yusaku_Miyazato
'5716': Yusuf_Misbac
'5717': Yuvraj_Singh
'5718': Yves_Brodeur
'5719': Zach_Parise
'5720': Zach_Pillar
'5721': Zach_Safrin
'5722': Zafarullah_Khan_Jamali
'5723': Zahir_Shah
'5724': Zaini_Abdullah
'5725': Zakia_Hakki
'5726': Zalmay_Khalilzad
'5727': Zara_Akhmadova
'5728': Zarai_Toledo
'5729': Zavad_Zarif
'5730': Zdravko_Mucic
'5731': Zeljko_Rebraca
'5732': Zelma_Novelo
'5733': Zeng_Qinghong
'5734': Zhang_Wenkang
'5735': Zhang_Yimou
'5736': Zhang_Ziyi
'5737': Zhong_Nanshan
'5738': Zhu_Rongji
'5739': Zico
'5740': Zinedine_Zidane
'5741': Ziwang_Xu
'5742': Zoe_Ball
'5743': Zoran_Djindjic
'5744': Zorica_Radovic
'5745': Zulfiqar_Ahmed
'5746': Zumrati_Juma
'5747': Zurab_Tsereteli
'5748': Zydrunas_Ilgauskas
splits:
- name: train
num_bytes: 117525661.223
num_examples: 13233
download_size: 116119145
dataset_size: 117525661.223
---
# Dataset Card for "asfijioasfwlf"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
open-llm-leaderboard/details_ValiantLabs__ShiningValiantXS | open-llm-leaderboard | 2023-12-04T19:31:18Z | 1 | 0 | [
"region:us"
]
| null | 2023-11-15T00:41:28Z | ---
pretty_name: Evaluation run of ValiantLabs/ShiningValiantXS
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [ValiantLabs/ShiningValiantXS](https://huggingface.co/ValiantLabs/ShiningValiantXS)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 2 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_ValiantLabs__ShiningValiantXS\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T19:27:31.992415](https://huggingface.co/datasets/open-llm-leaderboard/details_ValiantLabs__ShiningValiantXS/blob/main/results_2023-12-04T19-27-31.992415.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\": 0.6028558465845876,\n\
\ \"acc_stderr\": 0.03301831020950426,\n \"acc_norm\": 0.6082813488134567,\n\
\ \"acc_norm_stderr\": 0.033691481670550104,\n \"mc1\": 0.397796817625459,\n\
\ \"mc1_stderr\": 0.017133934248559638,\n \"mc2\": 0.5500120937865274,\n\
\ \"mc2_stderr\": 0.01551793282973445\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.613481228668942,\n \"acc_stderr\": 0.014230084761910474,\n\
\ \"acc_norm\": 0.64419795221843,\n \"acc_norm_stderr\": 0.01399057113791876\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6369249153555069,\n\
\ \"acc_stderr\": 0.00479903435696939,\n \"acc_norm\": 0.8357896833300139,\n\
\ \"acc_norm_stderr\": 0.0036970918376320744\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\": 0.5185185185185185,\n\
\ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.5185185185185185,\n\
\ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5921052631578947,\n \"acc_stderr\": 0.039993097127774734,\n\
\ \"acc_norm\": 0.5921052631578947,\n \"acc_norm_stderr\": 0.039993097127774734\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.029946498567699948,\n\
\ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.029946498567699948\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6875,\n\
\ \"acc_stderr\": 0.038760854559127644,\n \"acc_norm\": 0.6875,\n\
\ \"acc_norm_stderr\": 0.038760854559127644\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\": 0.5,\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\": 0.39,\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\": 0.6011560693641619,\n\
\ \"acc_stderr\": 0.037336266553835096,\n \"acc_norm\": 0.6011560693641619,\n\
\ \"acc_norm_stderr\": 0.037336266553835096\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383887,\n\
\ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383887\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.4978723404255319,\n \"acc_stderr\": 0.03268572658667492,\n\
\ \"acc_norm\": 0.4978723404255319,\n \"acc_norm_stderr\": 0.03268572658667492\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3508771929824561,\n\
\ \"acc_stderr\": 0.04489539350270699,\n \"acc_norm\": 0.3508771929824561,\n\
\ \"acc_norm_stderr\": 0.04489539350270699\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370333,\n\
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370333\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.34656084656084657,\n \"acc_stderr\": 0.024508777521028424,\n \"\
acc_norm\": 0.34656084656084657,\n \"acc_norm_stderr\": 0.024508777521028424\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\": 0.36,\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\"\
: 0.6967741935483871,\n \"acc_stderr\": 0.02614868593067175,\n \"\
acc_norm\": 0.6967741935483871,\n \"acc_norm_stderr\": 0.02614868593067175\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\": 0.6,\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\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885415,\n\
\ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885415\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267042,\n \"\
acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267042\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.02381447708659356,\n\
\ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.02381447708659356\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6282051282051282,\n \"acc_stderr\": 0.024503472557110936,\n\
\ \"acc_norm\": 0.6282051282051282,\n \"acc_norm_stderr\": 0.024503472557110936\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.34444444444444444,\n \"acc_stderr\": 0.028972648884844267,\n \
\ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.028972648884844267\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6092436974789915,\n \"acc_stderr\": 0.031693802357129965,\n\
\ \"acc_norm\": 0.6092436974789915,\n \"acc_norm_stderr\": 0.031693802357129965\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.31788079470198677,\n \"acc_stderr\": 0.03802039760107903,\n \"\
acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.03802039760107903\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8036697247706422,\n \"acc_stderr\": 0.017030719339154336,\n \"\
acc_norm\": 0.8036697247706422,\n \"acc_norm_stderr\": 0.017030719339154336\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.46296296296296297,\n \"acc_stderr\": 0.03400603625538271,\n \"\
acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.03400603625538271\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n \"\
acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7848101265822784,\n \"acc_stderr\": 0.026750826994676173,\n \
\ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.026750826994676173\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.672645739910314,\n\
\ \"acc_stderr\": 0.031493846709941306,\n \"acc_norm\": 0.672645739910314,\n\
\ \"acc_norm_stderr\": 0.031493846709941306\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.039800662464677665,\n\
\ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.039800662464677665\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070415,\n \"\
acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070415\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\
\ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\
\ \"acc_norm_stderr\": 0.038260763248848646\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\": 0.4017857142857143,\n\
\ \"acc_stderr\": 0.04653333146973646,\n \"acc_norm\": 0.4017857142857143,\n\
\ \"acc_norm_stderr\": 0.04653333146973646\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\": 0.8504273504273504,\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\": 0.61,\n \"acc_stderr\": 0.049020713000019756,\n \
\ \"acc_norm\": 0.61,\n \"acc_norm_stderr\": 0.049020713000019756\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7931034482758621,\n\
\ \"acc_stderr\": 0.014485656041669176,\n \"acc_norm\": 0.7931034482758621,\n\
\ \"acc_norm_stderr\": 0.014485656041669176\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.02530525813187971,\n\
\ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.02530525813187971\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5083798882681564,\n\
\ \"acc_stderr\": 0.01672015279467249,\n \"acc_norm\": 0.5083798882681564,\n\
\ \"acc_norm_stderr\": 0.01672015279467249\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6699346405228758,\n \"acc_stderr\": 0.026925654653615693,\n\
\ \"acc_norm\": 0.6699346405228758,\n \"acc_norm_stderr\": 0.026925654653615693\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.684887459807074,\n\
\ \"acc_stderr\": 0.026385273703464492,\n \"acc_norm\": 0.684887459807074,\n\
\ \"acc_norm_stderr\": 0.026385273703464492\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.025630824975621344,\n\
\ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.025630824975621344\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\": 0.4576271186440678,\n\
\ \"acc_stderr\": 0.01272429655098019,\n \"acc_norm\": 0.4576271186440678,\n\
\ \"acc_norm_stderr\": 0.01272429655098019\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6029411764705882,\n \"acc_stderr\": 0.02972215209928007,\n\
\ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.02972215209928007\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6013071895424836,\n \"acc_stderr\": 0.019808281317449848,\n \
\ \"acc_norm\": 0.6013071895424836,\n \"acc_norm_stderr\": 0.019808281317449848\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\": 0.689795918367347,\n \"acc_stderr\": 0.029613459872484378,\n\
\ \"acc_norm\": 0.689795918367347,\n \"acc_norm_stderr\": 0.029613459872484378\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7810945273631841,\n\
\ \"acc_stderr\": 0.029239174636647,\n \"acc_norm\": 0.7810945273631841,\n\
\ \"acc_norm_stderr\": 0.029239174636647\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \
\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n\
\ \"acc_norm_stderr\": 0.03892212195333045\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\": 0.397796817625459,\n\
\ \"mc1_stderr\": 0.017133934248559638,\n \"mc2\": 0.5500120937865274,\n\
\ \"mc2_stderr\": 0.01551793282973445\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.01186414969182794\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.34723275208491283,\n \
\ \"acc_stderr\": 0.013113898382146872\n }\n}\n```"
repo_url: https://huggingface.co/ValiantLabs/ShiningValiantXS
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_11_15T00_38_24.676368
path:
- '**/details_harness|arc:challenge|25_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|arc:challenge|25_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|drop|3_2023-11-15T00-38-24.676368.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-15T00-38-24.676368.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|gsm8k|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|gsm8k|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hellaswag|10_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hellaswag|10_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-15T00-38-24.676368.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T19-27-31.992415.parquet'
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T19-27-31.992415.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_anatomy_5
data_files:
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path:
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path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
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path:
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_college_biology_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_college_medicine_5
data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_college_physics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_computer_security_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_econometrics_5
data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_formal_logic_5
data_files:
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path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-15T00-38-24.676368.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_human_aging_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
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path:
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- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T19-27-31.992415.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- '**/details_harness|winogrande|5_2023-11-15T00-38-24.676368.parquet'
- split: 2023_12_04T19_27_31.992415
path:
- '**/details_harness|winogrande|5_2023-12-04T19-27-31.992415.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T19-27-31.992415.parquet'
- config_name: results
data_files:
- split: 2023_11_15T00_38_24.676368
path:
- results_2023-11-15T00-38-24.676368.parquet
- split: 2023_12_04T19_27_31.992415
path:
- results_2023-12-04T19-27-31.992415.parquet
- split: latest
path:
- results_2023-12-04T19-27-31.992415.parquet
---
# Dataset Card for Evaluation run of ValiantLabs/ShiningValiantXS
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/ValiantLabs/ShiningValiantXS
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [ValiantLabs/ShiningValiantXS](https://huggingface.co/ValiantLabs/ShiningValiantXS) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 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_ValiantLabs__ShiningValiantXS",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T19:27:31.992415](https://huggingface.co/datasets/open-llm-leaderboard/details_ValiantLabs__ShiningValiantXS/blob/main/results_2023-12-04T19-27-31.992415.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": 0.6028558465845876,
"acc_stderr": 0.03301831020950426,
"acc_norm": 0.6082813488134567,
"acc_norm_stderr": 0.033691481670550104,
"mc1": 0.397796817625459,
"mc1_stderr": 0.017133934248559638,
"mc2": 0.5500120937865274,
"mc2_stderr": 0.01551793282973445
},
"harness|arc:challenge|25": {
"acc": 0.613481228668942,
"acc_stderr": 0.014230084761910474,
"acc_norm": 0.64419795221843,
"acc_norm_stderr": 0.01399057113791876
},
"harness|hellaswag|10": {
"acc": 0.6369249153555069,
"acc_stderr": 0.00479903435696939,
"acc_norm": 0.8357896833300139,
"acc_norm_stderr": 0.0036970918376320744
},
"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": 0.5185185185185185,
"acc_stderr": 0.043163785995113245,
"acc_norm": 0.5185185185185185,
"acc_norm_stderr": 0.043163785995113245
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.5921052631578947,
"acc_stderr": 0.039993097127774734,
"acc_norm": 0.5921052631578947,
"acc_norm_stderr": 0.039993097127774734
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.57,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.57,
"acc_norm_stderr": 0.049756985195624284
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6150943396226415,
"acc_stderr": 0.029946498567699948,
"acc_norm": 0.6150943396226415,
"acc_norm_stderr": 0.029946498567699948
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6875,
"acc_stderr": 0.038760854559127644,
"acc_norm": 0.6875,
"acc_norm_stderr": 0.038760854559127644
},
"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": 0.5,
"acc_stderr": 0.050251890762960605,
"acc_norm": 0.5,
"acc_norm_stderr": 0.050251890762960605
},
"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": 0.6011560693641619,
"acc_stderr": 0.037336266553835096,
"acc_norm": 0.6011560693641619,
"acc_norm_stderr": 0.037336266553835096
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3431372549019608,
"acc_stderr": 0.04724007352383887,
"acc_norm": 0.3431372549019608,
"acc_norm_stderr": 0.04724007352383887
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.72,
"acc_stderr": 0.045126085985421276,
"acc_norm": 0.72,
"acc_norm_stderr": 0.045126085985421276
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.4978723404255319,
"acc_stderr": 0.03268572658667492,
"acc_norm": 0.4978723404255319,
"acc_norm_stderr": 0.03268572658667492
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.3508771929824561,
"acc_stderr": 0.04489539350270699,
"acc_norm": 0.3508771929824561,
"acc_norm_stderr": 0.04489539350270699
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5724137931034483,
"acc_stderr": 0.04122737111370333,
"acc_norm": 0.5724137931034483,
"acc_norm_stderr": 0.04122737111370333
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.34656084656084657,
"acc_stderr": 0.024508777521028424,
"acc_norm": 0.34656084656084657,
"acc_norm_stderr": 0.024508777521028424
},
"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": 0.36,
"acc_stderr": 0.048241815132442176,
"acc_norm": 0.36,
"acc_norm_stderr": 0.048241815132442176
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.6967741935483871,
"acc_stderr": 0.02614868593067175,
"acc_norm": 0.6967741935483871,
"acc_norm_stderr": 0.02614868593067175
},
"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": 0.6,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.6,
"acc_norm_stderr": 0.049236596391733084
},
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```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_ehartford__dolphin-2.2.1-mistral-7b | open-llm-leaderboard | 2023-12-04T17:22:13Z | 1 | 0 | [
"region:us"
]
| null | 2023-11-18T21:56:51Z | ---
pretty_name: Evaluation run of ehartford/dolphin-2.2.1-mistral-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 2 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_ehartford__dolphin-2.2.1-mistral-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T17:18:36.579196](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__dolphin-2.2.1-mistral-7b/blob/main/results_2023-12-04T17-18-36.579196.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\": 0.6314567324183159,\n\
\ \"acc_stderr\": 0.032318316802746,\n \"acc_norm\": 0.6352434028495076,\n\
\ \"acc_norm_stderr\": 0.032961647633460475,\n \"mc1\": 0.3659730722154223,\n\
\ \"mc1_stderr\": 0.016862941684088365,\n \"mc2\": 0.5311447373702662,\n\
\ \"mc2_stderr\": 0.015062742496541512\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6049488054607508,\n \"acc_stderr\": 0.014285898292938167,\n\
\ \"acc_norm\": 0.6331058020477816,\n \"acc_norm_stderr\": 0.014084133118104301\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6431985660227046,\n\
\ \"acc_stderr\": 0.004780764443411322,\n \"acc_norm\": 0.8375821549492133,\n\
\ \"acc_norm_stderr\": 0.0036807989505319113\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\": 0.6074074074074074,\n\
\ \"acc_stderr\": 0.04218506215368879,\n \"acc_norm\": 0.6074074074074074,\n\
\ \"acc_norm_stderr\": 0.04218506215368879\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6776315789473685,\n \"acc_stderr\": 0.03803510248351585,\n\
\ \"acc_norm\": 0.6776315789473685,\n \"acc_norm_stderr\": 0.03803510248351585\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
\ \"acc_norm_stderr\": 0.049756985195624284\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\": 0.75,\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\": 0.47,\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\"\
: 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6358381502890174,\n\
\ \"acc_stderr\": 0.03669072477416907,\n \"acc_norm\": 0.6358381502890174,\n\
\ \"acc_norm_stderr\": 0.03669072477416907\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062947,\n\
\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062947\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\": 0.5446808510638298,\n \"acc_stderr\": 0.03255525359340354,\n\
\ \"acc_norm\": 0.5446808510638298,\n \"acc_norm_stderr\": 0.03255525359340354\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.45614035087719296,\n\
\ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\
\ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\
\ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.3862433862433862,\n \"acc_stderr\": 0.025075981767601684,\n \"\
acc_norm\": 0.3862433862433862,\n \"acc_norm_stderr\": 0.025075981767601684\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\
\ \"acc_stderr\": 0.04375888492727062,\n \"acc_norm\": 0.3968253968253968,\n\
\ \"acc_norm_stderr\": 0.04375888492727062\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\"\
: 0.7709677419354839,\n \"acc_stderr\": 0.02390491431178265,\n \"\
acc_norm\": 0.7709677419354839,\n \"acc_norm_stderr\": 0.02390491431178265\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\": 0.69,\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\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267025,\n \"\
acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267025\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\": 0.6512820512820513,\n \"acc_stderr\": 0.02416278028401772,\n \
\ \"acc_norm\": 0.6512820512820513,\n \"acc_norm_stderr\": 0.02416278028401772\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028593,\n \
\ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028593\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886783,\n\
\ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886783\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\": 0.8348623853211009,\n\
\ \"acc_stderr\": 0.015919557829976044,\n \"acc_norm\": 0.8348623853211009,\n\
\ \"acc_norm_stderr\": 0.015919557829976044\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
: {\n \"acc\": 0.48148148148148145,\n \"acc_stderr\": 0.034076320938540516,\n\
\ \"acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.034076320938540516\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7696078431372549,\n \"acc_stderr\": 0.02955429260569508,\n \"\
acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.02955429260569508\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \
\ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\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\": 0.7786259541984732,\n \"acc_stderr\": 0.0364129708131373,\n\
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.0364129708131373\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098823,\n \"\
acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098823\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\
\ \"acc_stderr\": 0.03826076324884866,\n \"acc_norm\": 0.8055555555555556,\n\
\ \"acc_norm_stderr\": 0.03826076324884866\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.033519538795212696,\n\
\ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.033519538795212696\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\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\
\ \"acc_stderr\": 0.022509033937077805,\n \"acc_norm\": 0.8632478632478633,\n\
\ \"acc_norm_stderr\": 0.022509033937077805\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\": 0.8135376756066411,\n\
\ \"acc_stderr\": 0.013927751372001506,\n \"acc_norm\": 0.8135376756066411,\n\
\ \"acc_norm_stderr\": 0.013927751372001506\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7138728323699421,\n \"acc_stderr\": 0.02433214677913413,\n\
\ \"acc_norm\": 0.7138728323699421,\n \"acc_norm_stderr\": 0.02433214677913413\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.37988826815642457,\n\
\ \"acc_stderr\": 0.016232826818678502,\n \"acc_norm\": 0.37988826815642457,\n\
\ \"acc_norm_stderr\": 0.016232826818678502\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.026090162504279053,\n\
\ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.026090162504279053\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\
\ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\
\ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7098765432098766,\n \"acc_stderr\": 0.025251173936495026,\n\
\ \"acc_norm\": 0.7098765432098766,\n \"acc_norm_stderr\": 0.025251173936495026\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \
\ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4471968709256845,\n\
\ \"acc_stderr\": 0.012698825252435111,\n \"acc_norm\": 0.4471968709256845,\n\
\ \"acc_norm_stderr\": 0.012698825252435111\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.029029422815681397,\n\
\ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.029029422815681397\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6503267973856209,\n \"acc_stderr\": 0.01929196189506638,\n \
\ \"acc_norm\": 0.6503267973856209,\n \"acc_norm_stderr\": 0.01929196189506638\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\": 0.726530612244898,\n \"acc_stderr\": 0.02853556033712844,\n\
\ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.02853556033712844\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454125\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\": 0.5481927710843374,\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\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\
\ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3659730722154223,\n\
\ \"mc1_stderr\": 0.016862941684088365,\n \"mc2\": 0.5311447373702662,\n\
\ \"mc2_stderr\": 0.015062742496541512\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7813733228097869,\n \"acc_stderr\": 0.01161619821577323\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4806671721000758,\n \
\ \"acc_stderr\": 0.013762185709851354\n }\n}\n```"
repo_url: https://huggingface.co/ehartford/dolphin-2.2.1-mistral-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_11_18T21_53_53.398955
path:
- '**/details_harness|arc:challenge|25_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|drop|3_2023-11-18T21-53-53.398955.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-18T21-53-53.398955.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|gsm8k|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hellaswag|10_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T21-53-53.398955.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-18-36.579196.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T17-18-36.579196.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- '**/details_harness|winogrande|5_2023-11-18T21-53-53.398955.parquet'
- split: 2023_12_04T17_18_36.579196
path:
- '**/details_harness|winogrande|5_2023-12-04T17-18-36.579196.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T17-18-36.579196.parquet'
- config_name: results
data_files:
- split: 2023_11_18T21_53_53.398955
path:
- results_2023-11-18T21-53-53.398955.parquet
- split: 2023_12_04T17_18_36.579196
path:
- results_2023-12-04T17-18-36.579196.parquet
- split: latest
path:
- results_2023-12-04T17-18-36.579196.parquet
---
# Dataset Card for Evaluation run of ehartford/dolphin-2.2.1-mistral-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 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_ehartford__dolphin-2.2.1-mistral-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T17:18:36.579196](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__dolphin-2.2.1-mistral-7b/blob/main/results_2023-12-04T17-18-36.579196.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
{
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"mc2_stderr": 0.015062742496541512
},
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},
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}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
reach-vb/common_voice_14_0 | reach-vb | 2023-12-04T17:46:59Z | 1 | 0 | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:1M<n<100M",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
]
| [
"automatic-speech-recognition"
]
| 2023-11-21T18:27:15Z | ---
pretty_name: Common Voice Corpus 14
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language_bcp47:
- ab
- am
- ar
- as
- ast
- az
- ba
- bas
- be
- bg
- bn
- br
- ca
- ckb
- cnh
- cs
- cv
- cy
- da
- de
- dv
- dyu
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy-NL
- ga-IE
- gl
- gn
- ha
- hi
- hsb
- hu
- hy-AM
- ia
- id
- ig
- is
- it
- ja
- ka
- kab
- kk
- kmr
- ko
- ky
- lg
- lo
- lt
- lv
- mdf
- mhr
- mk
- ml
- mn
- mr
- mrj
- mt
- myv
- nan-tw
- ne-NP
- nl
- nn-NO
- oc
- or
- pa-IN
- pl
- ps
- pt
- quy
- rm-sursilv
- rm-vallader
- ro
- ru
- rw
- sah
- sat
- sc
- sk
- skr
- sl
- sq
- sr
- sv-SE
- sw
- ta
- th
- ti
- tig
- tk
- tok
- tr
- tt
- tw
- ug
- uk
- ur
- uz
- vi
- vot
- yo
- yue
- zgh
- zh-CN
- zh-HK
- zh-TW
license:
- cc0-1.0
multilinguality:
- multilingual
size_categories:
- 1M<n<100M
source_datasets:
- extended|common_voice
task_categories:
- automatic-speech-recognition
paperswithcode_id: common-voice
extra_gated_prompt: "By clicking on “Access repository” below, you also agree to not attempt to determine the identity of speakers in the Common Voice dataset."
---
# Dataset Card for Common Voice Corpus 14
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** https://commonvoice.mozilla.org/en/datasets
- **Repository:** https://github.com/common-voice/common-voice
- **Paper:** https://arxiv.org/abs/1912.06670
- **Leaderboard:** https://paperswithcode.com/dataset/common-voice
- **Point of Contact:** [Vaibhav Srivastav](mailto:[email protected])
### Dataset Summary
The Common Voice dataset consists of a unique MP3 and corresponding text file.
Many of the 28117 recorded hours in the dataset also include demographic metadata like age, sex, and accent
that can help improve the accuracy of speech recognition engines.
The dataset currently consists of 18651 validated hours in 112 languages, but more voices and languages are always added.
Take a look at the [Languages](https://commonvoice.mozilla.org/en/languages) page to request a language or start contributing.
### Supported Tasks and Leaderboards
The results for models trained on the Common Voice datasets are available via the
[🤗 Speech Bench](https://huggingface.co/spaces/huggingface/hf-speech-bench)
### Languages
```
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech, Danish, Dhivehi, Dioula, Dutch, English, Erzya, Esperanto, Estonian, Finnish, French, Frisian, Galician, Georgian, German, Greek, Guarani, Hakha Chin, Hausa, Hill Mari, Hindi, Hungarian, Icelandic, Igbo, Indonesian, Interlingua, Irish, Italian, Japanese, Kabyle, Kazakh, Kinyarwanda, Korean, Kurmanji Kurdish, Kyrgyz, Lao, Latvian, Lithuanian, Luganda, Macedonian, Malayalam, Maltese, Marathi, Meadow Mari, Moksha, Mongolian, Nepali, Norwegian Nynorsk, Occitan, Odia, Pashto, Persian, Polish, Portuguese, Punjabi, Quechua Chanka, Romanian, Romansh Sursilvan, Romansh Vallader, Russian, Sakha, Santali (Ol Chiki), Saraiki, Sardinian, Serbian, Slovak, Slovenian, Sorbian, Upper, Spanish, Swahili, Swedish, Taiwanese (Minnan), Tamazight, Tamil, Tatar, Thai, Tigre, Tigrinya, Toki Pona, Turkish, Turkmen, Twi, Ukrainian, Urdu, Uyghur, Uzbek, Vietnamese, Votic, Welsh, Yoruba
```
## How to use
The `datasets` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the `load_dataset` function.
For example, to download the Hindi config, simply specify the corresponding language config name (i.e., "hi" for Hindi):
```python
from datasets import load_dataset
cv_14 = load_dataset("mozilla-foundation/common_voice_14_0", "hi", split="train")
```
Using the datasets library, you can also stream the dataset on-the-fly by adding a `streaming=True` argument to the `load_dataset` function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.
```python
from datasets import load_dataset
cv_14 = load_dataset("mozilla-foundation/common_voice_14_0", "hi", split="train", streaming=True)
print(next(iter(cv_14)))
```
*Bonus*: create a [PyTorch dataloader](https://huggingface.co/docs/datasets/use_with_pytorch) directly with your own datasets (local/streamed).
### Local
```python
from datasets import load_dataset
from torch.utils.data.sampler import BatchSampler, RandomSampler
cv_14 = load_dataset("mozilla-foundation/common_voice_14_0", "hi", split="train")
batch_sampler = BatchSampler(RandomSampler(cv_14), batch_size=32, drop_last=False)
dataloader = DataLoader(cv_14, batch_sampler=batch_sampler)
```
### Streaming
```python
from datasets import load_dataset
from torch.utils.data import DataLoader
cv_14 = load_dataset("mozilla-foundation/common_voice_14_0", "hi", split="train")
dataloader = DataLoader(cv_14, batch_size=32)
```
To find out more about loading and preparing audio datasets, head over to [hf.co/blog/audio-datasets](https://huggingface.co/blog/audio-datasets).
### Example scripts
Train your own CTC or Seq2Seq Automatic Speech Recognition models on Common Voice 13 with `transformers` - [here](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition).
## Dataset Structure
### Data Instances
A typical data point comprises the `path` to the audio file and its `sentence`.
Additional fields include `accent`, `age`, `client_id`, `up_votes`, `down_votes`, `gender`, `locale` and `segment`.
```python
{
'client_id': 'd59478fbc1ee646a28a3c652a119379939123784d99131b865a89f8b21c81f69276c48bd574b81267d9d1a77b83b43e6d475a6cfc79c232ddbca946ae9c7afc5',
'path': 'et/clips/common_voice_et_18318995.mp3',
'audio': {
'path': 'et/clips/common_voice_et_18318995.mp3',
'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
'sampling_rate': 48000
},
'sentence': 'Tasub kokku saada inimestega, keda tunned juba ammust ajast saati.',
'up_votes': 2,
'down_votes': 0,
'age': 'twenties',
'gender': 'male',
'accent': '',
'locale': 'et',
'segment': ''
}
```
### Data Fields
`client_id` (`string`): An id for which client (voice) made the recording
`path` (`string`): The path to the audio file
`audio` (`dict`): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
`sentence` (`string`): The sentence the user was prompted to speak
`up_votes` (`int64`): How many upvotes the audio file has received from reviewers
`down_votes` (`int64`): How many downvotes the audio file has received from reviewers
`age` (`string`): The age of the speaker (e.g. `teens`, `twenties`, `fifties`)
`gender` (`string`): The gender of the speaker
`accent` (`string`): Accent of the speaker
`locale` (`string`): The locale of the speaker
`segment` (`string`): Usually an empty field
### Data Splits
The speech material has been subdivided into portions for dev, train, test, validated, invalidated, reported and other.
The validated data is data that has been validated with reviewers and received upvotes that the data is of high quality.
The invalidated data is data has been invalidated by reviewers
and received downvotes indicating that the data is of low quality.
The reported data is data that has been reported, for different reasons.
The other data is data that has not yet been reviewed.
The dev, test, train are all data that has been reviewed, deemed of high quality and split into dev, test and train.
## Data Preprocessing Recommended by Hugging Face
The following are data preprocessing steps advised by the Hugging Face team. They are accompanied by an example code snippet that shows how to put them to practice.
Many examples in this dataset have trailing quotations marks, e.g _“the cat sat on the mat.“_. These trailing quotation marks do not change the actual meaning of the sentence, and it is near impossible to infer whether a sentence is a quotation or not a quotation from audio data alone. In these cases, it is advised to strip the quotation marks, leaving: _the cat sat on the mat_.
In addition, the majority of training sentences end in punctuation ( . or ? or ! ), whereas just a small proportion do not. In the dev set, **almost all** sentences end in punctuation. Thus, it is recommended to append a full-stop ( . ) to the end of the small number of training examples that do not end in punctuation.
```python
from datasets import load_dataset
ds = load_dataset("mozilla-foundation/common_voice_14_0", "en", use_auth_token=True)
def prepare_dataset(batch):
"""Function to preprocess the dataset with the .map method"""
transcription = batch["sentence"]
if transcription.startswith('"') and transcription.endswith('"'):
# we can remove trailing quotation marks as they do not affect the transcription
transcription = transcription[1:-1]
if transcription[-1] not in [".", "?", "!"]:
# append a full-stop to sentences that do not end in punctuation
transcription = transcription + "."
batch["sentence"] = transcription
return batch
ds = ds.map(prepare_dataset, desc="preprocess dataset")
```
## Dataset Creation
### Curation Rationale
[Needs More Information]
### Source Data
#### Initial Data Collection and Normalization
[Needs More Information]
#### Who are the source language producers?
[Needs More Information]
### Annotations
#### Annotation process
[Needs More Information]
#### Who are the annotators?
[Needs More Information]
### Personal and Sensitive Information
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
## Considerations for Using the Data
### Social Impact of Dataset
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/)
### Citation Information
```
@inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
pages = {4211--4215},
year = 2020
}
```
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|
open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2 | open-llm-leaderboard | 2023-12-04T18:06:41Z | 1 | 0 | [
"region:us"
]
| null | 2023-11-23T09:09:05Z | ---
pretty_name: Evaluation run of perlthoughts/Chupacabra-7B-v2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 4 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_perlthoughts__Chupacabra-7B-v2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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\": 0.6367599015709243,\n\
\ \"acc_stderr\": 0.03218025799515212,\n \"acc_norm\": 0.6396357428050704,\n\
\ \"acc_norm_stderr\": 0.0328187456646889,\n \"mc1\": 0.397796817625459,\n\
\ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\
\ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.613481228668942,\n \"acc_stderr\": 0.014230084761910478,\n\
\ \"acc_norm\": 0.6518771331058021,\n \"acc_norm_stderr\": 0.013921008595179342\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6473809998008365,\n\
\ \"acc_stderr\": 0.004768088918512182,\n \"acc_norm\": 0.8338976299541924,\n\
\ \"acc_norm_stderr\": 0.003714118884317389\n },\n \"harness|hendrycksTest-abstract_algebra|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-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\": 0.62,\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\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\
\ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\
\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\
\ \"acc_norm_stderr\": 0.03852084696008534\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\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\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\": 0.6127167630057804,\n \"acc_stderr\": 0.03714325906302065,\n\
\ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.03714325906302065\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\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \
\ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.548936170212766,\n\
\ \"acc_stderr\": 0.03252909619613197,\n \"acc_norm\": 0.548936170212766,\n\
\ \"acc_norm_stderr\": 0.03252909619613197\n },\n \"harness|hendrycksTest-econometrics|5\"\
: {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.047028804320496165,\n\
\ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.047028804320496165\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\": 0.3994708994708995,\n\
\ \"acc_stderr\": 0.02522545028406788,\n \"acc_norm\": 0.3994708994708995,\n\
\ \"acc_norm_stderr\": 0.02522545028406788\n },\n \"harness|hendrycksTest-formal_logic|5\"\
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.04472135954999579,\n \
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.04472135954999579\n },\n\
\ \"harness|hendrycksTest-global_facts|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-high_school_biology|5\"\
: {\n \"acc\": 0.7709677419354839,\n \"acc_stderr\": 0.023904914311782658,\n\
\ \"acc_norm\": 0.7709677419354839,\n \"acc_norm_stderr\": 0.023904914311782658\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\": 0.7,\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\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\
\ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7575757575757576,\n \"acc_stderr\": 0.030532892233932022,\n \"\
acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.030532892233932022\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\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062157,\n\
\ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062157\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \
\ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.03077805742293167,\n \
\ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.03077805742293167\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2913907284768212,\n \"acc_stderr\": 0.037101857261199946,\n \"\
acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.037101857261199946\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099867,\n \"\
acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099867\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\": 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n\
\ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621126,\n \
\ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621126\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\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\
\ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\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\": 0.7962962962962963,\n\
\ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
\ \"acc_norm_stderr\": 0.03893542518824847\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\": 0.8252427184466019,\n \"acc_stderr\": 0.037601780060266196,\n\
\ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.037601780060266196\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\
\ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\
\ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\
\ \"acc_stderr\": 0.013816335389973136,\n \"acc_norm\": 0.8173690932311622,\n\
\ \"acc_norm_stderr\": 0.013816335389973136\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6820809248554913,\n \"acc_stderr\": 0.025070713719153183,\n\
\ \"acc_norm\": 0.6820809248554913,\n \"acc_norm_stderr\": 0.025070713719153183\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4033519553072626,\n\
\ \"acc_stderr\": 0.01640712303219525,\n \"acc_norm\": 0.4033519553072626,\n\
\ \"acc_norm_stderr\": 0.01640712303219525\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.026090162504279056,\n\
\ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.026090162504279056\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\
\ \"acc_stderr\": 0.026236965881153273,\n \"acc_norm\": 0.6913183279742765,\n\
\ \"acc_norm_stderr\": 0.026236965881153273\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\
\ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \
\ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4602346805736636,\n\
\ \"acc_stderr\": 0.01272978538659856,\n \"acc_norm\": 0.4602346805736636,\n\
\ \"acc_norm_stderr\": 0.01272978538659856\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\
\ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6519607843137255,\n \"acc_stderr\": 0.01927099870822398,\n \
\ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.01927099870822398\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\": 0.7551020408163265,\n \"acc_stderr\": 0.027529637440174923,\n\
\ \"acc_norm\": 0.7551020408163265,\n \"acc_norm_stderr\": 0.027529637440174923\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\
\ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\
\ \"acc_norm_stderr\": 0.02587064676616913\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\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\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\
\ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.397796817625459,\n\
\ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\
\ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7813733228097869,\n \"acc_stderr\": 0.01161619821577323\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5473843821076573,\n \
\ \"acc_stderr\": 0.013710499070935132\n }\n}\n```"
repo_url: https://huggingface.co/perlthoughts/Chupacabra-7B-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_11_23T09_06_05.823190
path:
- '**/details_harness|arc:challenge|25_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|arc:challenge|25_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|arc:challenge|25_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|drop|3_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|drop|3_2023-11-23T09-18-59.989572.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-23T09-18-59.989572.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|gsm8k|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|gsm8k|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_03T15_21_26.428024
path:
- '**/details_harness|gsm8k|5_2023-12-03T15-21-26.428024.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|gsm8k|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hellaswag|10_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hellaswag|10_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hellaswag|10_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-06-05.823190.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-18-59.989572.parquet'
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- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-18-59.989572.parquet'
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-18-59.989572.parquet'
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-18-59.989572.parquet'
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-18-59.989572.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet'
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-02-58.053786.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- '**/details_harness|winogrande|5_2023-11-23T09-06-05.823190.parquet'
- split: 2023_11_23T09_18_59.989572
path:
- '**/details_harness|winogrande|5_2023-11-23T09-18-59.989572.parquet'
- split: 2023_12_04T18_02_58.053786
path:
- '**/details_harness|winogrande|5_2023-12-04T18-02-58.053786.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T18-02-58.053786.parquet'
- config_name: results
data_files:
- split: 2023_11_23T09_06_05.823190
path:
- results_2023-11-23T09-06-05.823190.parquet
- split: 2023_11_23T09_18_59.989572
path:
- results_2023-11-23T09-18-59.989572.parquet
- split: 2023_12_03T15_21_26.428024
path:
- results_2023-12-03T15-21-26.428024.parquet
- split: 2023_12_04T18_02_58.053786
path:
- results_2023-12-04T18-02-58.053786.parquet
- split: latest
path:
- results_2023-12-04T18-02-58.053786.parquet
---
# Dataset Card for Evaluation run of perlthoughts/Chupacabra-7B-v2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/perlthoughts/Chupacabra-7B-v2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 4 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_perlthoughts__Chupacabra-7B-v2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
open-llm-leaderboard/details_argilla__notus-7b-v1 | open-llm-leaderboard | 2023-12-04T17:19:30Z | 1 | 0 | [
"region:us"
]
| null | 2023-11-29T22:19:52Z | ---
pretty_name: Evaluation run of argilla/notus-7b-v1
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1) on the [Open\
\ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 2 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_argilla__notus-7b-v1\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T17:15:53.519887](https://huggingface.co/datasets/open-llm-leaderboard/details_argilla__notus-7b-v1/blob/main/results_2023-12-04T17-15-53.519887.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\": 0.6284345225205253,\n\
\ \"acc_stderr\": 0.03266688541458245,\n \"acc_norm\": 0.6343199967908271,\n\
\ \"acc_norm_stderr\": 0.03333546965424883,\n \"mc1\": 0.36474908200734396,\n\
\ \"mc1_stderr\": 0.01685096106172012,\n \"mc2\": 0.5434993224846835,\n\
\ \"mc2_stderr\": 0.01537768281733017\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6092150170648464,\n \"acc_stderr\": 0.01425856388051378,\n\
\ \"acc_norm\": 0.6459044368600683,\n \"acc_norm_stderr\": 0.01397545412275656\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6533559051981677,\n\
\ \"acc_stderr\": 0.004749286071559562,\n \"acc_norm\": 0.8483369846644094,\n\
\ \"acc_norm_stderr\": 0.0035796087435066106\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\": 0.6074074074074074,\n\
\ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\
\ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.631578947368421,\n \"acc_stderr\": 0.03925523381052932,\n\
\ \"acc_norm\": 0.631578947368421,\n \"acc_norm_stderr\": 0.03925523381052932\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\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\
\ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\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\": 0.47,\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\": 0.5,\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\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\
\ \"acc_stderr\": 0.03643037168958548,\n \"acc_norm\": 0.6473988439306358,\n\
\ \"acc_norm_stderr\": 0.03643037168958548\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\":\
\ 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\": 0.8,\n\
\ \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5276595744680851,\n \"acc_stderr\": 0.03263597118409769,\n\
\ \"acc_norm\": 0.5276595744680851,\n \"acc_norm_stderr\": 0.03263597118409769\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4473684210526316,\n\
\ \"acc_stderr\": 0.046774730044911984,\n \"acc_norm\": 0.4473684210526316,\n\
\ \"acc_norm_stderr\": 0.046774730044911984\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\"\
: 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778405,\n \"\
acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778405\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\
\ \"acc_stderr\": 0.04375888492727061,\n \"acc_norm\": 0.3968253968253968,\n\
\ \"acc_norm_stderr\": 0.04375888492727061\n },\n \"harness|hendrycksTest-global_facts|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-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\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\
\ \"acc_norm\": 0.5172413793103449,\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\": 0.7757575757575758,\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\"\
: 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386424,\n \"\
acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386424\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\": 0.6358974358974359,\n \"acc_stderr\": 0.024396672985094764,\n\
\ \"acc_norm\": 0.6358974358974359,\n \"acc_norm_stderr\": 0.024396672985094764\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.36666666666666664,\n \"acc_stderr\": 0.02938162072646507,\n \
\ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.02938162072646507\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887034,\n\
\ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887034\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\
acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8091743119266055,\n \"acc_stderr\": 0.016847676400091122,\n \"\
acc_norm\": 0.8091743119266055,\n \"acc_norm_stderr\": 0.016847676400091122\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\"\
: 0.803921568627451,\n \"acc_stderr\": 0.027865942286639325,\n \"\
acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639325\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\": 0.6457399103139013,\n\
\ \"acc_stderr\": 0.032100621541349864,\n \"acc_norm\": 0.6457399103139013,\n\
\ \"acc_norm_stderr\": 0.032100621541349864\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\":\
\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\
acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\
\ \"acc_stderr\": 0.04330043749650742,\n \"acc_norm\": 0.7222222222222222,\n\
\ \"acc_norm_stderr\": 0.04330043749650742\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\": 0.5357142857142857,\n\
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.5357142857142857,\n\
\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n\
\ \"acc_stderr\": 0.023636873317489277,\n \"acc_norm\": 0.8461538461538461,\n\
\ \"acc_norm_stderr\": 0.023636873317489277\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8109833971902938,\n\
\ \"acc_stderr\": 0.014000791294406999,\n \"acc_norm\": 0.8109833971902938,\n\
\ \"acc_norm_stderr\": 0.014000791294406999\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.684971098265896,\n \"acc_stderr\": 0.0250093137900697,\n\
\ \"acc_norm\": 0.684971098265896,\n \"acc_norm_stderr\": 0.0250093137900697\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.45139664804469276,\n\
\ \"acc_stderr\": 0.016643307372315872,\n \"acc_norm\": 0.45139664804469276,\n\
\ \"acc_norm_stderr\": 0.016643307372315872\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.026173908506718576,\n\
\ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.026173908506718576\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6945337620578779,\n\
\ \"acc_stderr\": 0.026160584450140453,\n \"acc_norm\": 0.6945337620578779,\n\
\ \"acc_norm_stderr\": 0.026160584450140453\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7006172839506173,\n \"acc_stderr\": 0.025483115601195455,\n\
\ \"acc_norm\": 0.7006172839506173,\n \"acc_norm_stderr\": 0.025483115601195455\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.46099290780141844,\n \"acc_stderr\": 0.02973659252642444,\n \
\ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.02973659252642444\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4367666232073012,\n\
\ \"acc_stderr\": 0.012667701919603662,\n \"acc_norm\": 0.4367666232073012,\n\
\ \"acc_norm_stderr\": 0.012667701919603662\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\": 0.6437908496732027,\n \"acc_stderr\": 0.019373332420724504,\n \
\ \"acc_norm\": 0.6437908496732027,\n \"acc_norm_stderr\": 0.019373332420724504\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7090909090909091,\n\
\ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\
\ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6979591836734694,\n \"acc_stderr\": 0.029393609319879804,\n\
\ \"acc_norm\": 0.6979591836734694,\n \"acc_norm_stderr\": 0.029393609319879804\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8059701492537313,\n\
\ \"acc_stderr\": 0.0279626776047689,\n \"acc_norm\": 0.8059701492537313,\n\
\ \"acc_norm_stderr\": 0.0279626776047689\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.83,\n \"acc_stderr\": 0.0377525168068637,\n \
\ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
\ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
\ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8596491228070176,\n \"acc_stderr\": 0.0266405825391332,\n\
\ \"acc_norm\": 0.8596491228070176,\n \"acc_norm_stderr\": 0.0266405825391332\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36474908200734396,\n\
\ \"mc1_stderr\": 0.01685096106172012,\n \"mc2\": 0.5434993224846835,\n\
\ \"mc2_stderr\": 0.01537768281733017\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7955801104972375,\n \"acc_stderr\": 0.011334090612597207\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3457164518574678,\n \
\ \"acc_stderr\": 0.013100422990441573\n }\n}\n```"
repo_url: https://huggingface.co/argilla/notus-7b-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_11_29T22_16_51.521321
path:
- '**/details_harness|arc:challenge|25_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|drop|3_2023-11-29T22-16-51.521321.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-29T22-16-51.521321.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|gsm8k|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hellaswag|10_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-29T22-16-51.521321.parquet'
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-29T22-16-51.521321.parquet'
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- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-29T22-16-51.521321.parquet'
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- '**/details_harness|hendrycksTest-sociology|5_2023-11-29T22-16-51.521321.parquet'
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- '**/details_harness|hendrycksTest-virology|5_2023-11-29T22-16-51.521321.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-15-53.519887.parquet'
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- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-15-53.519887.parquet'
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- split: latest
path:
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-15-53.519887.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-15-53.519887.parquet'
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- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-15-53.519887.parquet'
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-15-53.519887.parquet'
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-15-53.519887.parquet'
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-15-53.519887.parquet'
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- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
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path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
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path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
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path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
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path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
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path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
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path:
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
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path:
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_human_aging_5
data_files:
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path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
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path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
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path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
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path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
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path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
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path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
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path:
- '**/details_harness|hendrycksTest-management|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_marketing_5
data_files:
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path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
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path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
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path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-29T22-16-51.521321.parquet'
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path:
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- split: latest
path:
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- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
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path:
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- split: 2023_12_04T17_15_53.519887
path:
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- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
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path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
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path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
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path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T17-15-53.519887.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- '**/details_harness|winogrande|5_2023-11-29T22-16-51.521321.parquet'
- split: 2023_12_04T17_15_53.519887
path:
- '**/details_harness|winogrande|5_2023-12-04T17-15-53.519887.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T17-15-53.519887.parquet'
- config_name: results
data_files:
- split: 2023_11_29T22_16_51.521321
path:
- results_2023-11-29T22-16-51.521321.parquet
- split: 2023_12_04T17_15_53.519887
path:
- results_2023-12-04T17-15-53.519887.parquet
- split: latest
path:
- results_2023-12-04T17-15-53.519887.parquet
---
# Dataset Card for Evaluation run of argilla/notus-7b-v1
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/argilla/notus-7b-v1
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 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_argilla__notus-7b-v1",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T17:15:53.519887](https://huggingface.co/datasets/open-llm-leaderboard/details_argilla__notus-7b-v1/blob/main/results_2023-12-04T17-15-53.519887.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": 0.6284345225205253,
"acc_stderr": 0.03266688541458245,
"acc_norm": 0.6343199967908271,
"acc_norm_stderr": 0.03333546965424883,
"mc1": 0.36474908200734396,
"mc1_stderr": 0.01685096106172012,
"mc2": 0.5434993224846835,
"mc2_stderr": 0.01537768281733017
},
"harness|arc:challenge|25": {
"acc": 0.6092150170648464,
"acc_stderr": 0.01425856388051378,
"acc_norm": 0.6459044368600683,
"acc_norm_stderr": 0.01397545412275656
},
"harness|hellaswag|10": {
"acc": 0.6533559051981677,
"acc_stderr": 0.004749286071559562,
"acc_norm": 0.8483369846644094,
"acc_norm_stderr": 0.0035796087435066106
},
"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": 0.6074074074074074,
"acc_stderr": 0.0421850621536888,
"acc_norm": 0.6074074074074074,
"acc_norm_stderr": 0.0421850621536888
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.631578947368421,
"acc_stderr": 0.03925523381052932,
"acc_norm": 0.631578947368421,
"acc_norm_stderr": 0.03925523381052932
},
"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": 0.6981132075471698,
"acc_stderr": 0.02825420034443866,
"acc_norm": 0.6981132075471698,
"acc_norm_stderr": 0.02825420034443866
},
"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": 0.47,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.47,
"acc_norm_stderr": 0.050161355804659205
},
"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": 0.38,
"acc_stderr": 0.04878317312145633,
"acc_norm": 0.38,
"acc_norm_stderr": 0.04878317312145633
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6473988439306358,
"acc_stderr": 0.03643037168958548,
"acc_norm": 0.6473988439306358,
"acc_norm_stderr": 0.03643037168958548
},
"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": 0.8,
"acc_stderr": 0.04020151261036846,
"acc_norm": 0.8,
"acc_norm_stderr": 0.04020151261036846
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5276595744680851,
"acc_stderr": 0.03263597118409769,
"acc_norm": 0.5276595744680851,
"acc_norm_stderr": 0.03263597118409769
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.4473684210526316,
"acc_stderr": 0.046774730044911984,
"acc_norm": 0.4473684210526316,
"acc_norm_stderr": 0.046774730044911984
},
"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": 0.41534391534391535,
"acc_stderr": 0.025379524910778405,
"acc_norm": 0.41534391534391535,
"acc_norm_stderr": 0.025379524910778405
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.3968253968253968,
"acc_stderr": 0.04375888492727061,
"acc_norm": 0.3968253968253968,
"acc_norm_stderr": 0.04375888492727061
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.41,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.41,
"acc_norm_stderr": 0.04943110704237102
},
"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": 0.5172413793103449,
"acc_stderr": 0.035158955511656986,
"acc_norm": 0.5172413793103449,
"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": 0.7757575757575758,
"acc_stderr": 0.032568666616811015,
"acc_norm": 0.7757575757575758,
"acc_norm_stderr": 0.032568666616811015
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7727272727272727,
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"acc_norm": 0.7727272727272727,
"acc_norm_stderr": 0.029857515673386424
},
"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": 0.6358974358974359,
"acc_stderr": 0.024396672985094764,
"acc_norm": 0.6358974358974359,
"acc_norm_stderr": 0.024396672985094764
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.36666666666666664,
"acc_stderr": 0.02938162072646507,
"acc_norm": 0.36666666666666664,
"acc_norm_stderr": 0.02938162072646507
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6932773109243697,
"acc_stderr": 0.029953823891887034,
"acc_norm": 0.6932773109243697,
"acc_norm_stderr": 0.029953823891887034
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.31788079470198677,
"acc_stderr": 0.038020397601079024,
"acc_norm": 0.31788079470198677,
"acc_norm_stderr": 0.038020397601079024
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8091743119266055,
"acc_stderr": 0.016847676400091122,
"acc_norm": 0.8091743119266055,
"acc_norm_stderr": 0.016847676400091122
},
"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": 0.803921568627451,
"acc_stderr": 0.027865942286639325,
"acc_norm": 0.803921568627451,
"acc_norm_stderr": 0.027865942286639325
},
"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": 0.6457399103139013,
"acc_stderr": 0.032100621541349864,
"acc_norm": 0.6457399103139013,
"acc_norm_stderr": 0.032100621541349864
},
"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": 0.7603305785123967,
"acc_stderr": 0.03896878985070416,
"acc_norm": 0.7603305785123967,
"acc_norm_stderr": 0.03896878985070416
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7222222222222222,
"acc_stderr": 0.04330043749650742,
"acc_norm": 0.7222222222222222,
"acc_norm_stderr": 0.04330043749650742
},
"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": 0.5357142857142857,
"acc_stderr": 0.04733667890053756,
"acc_norm": 0.5357142857142857,
"acc_norm_stderr": 0.04733667890053756
},
"harness|hendrycksTest-management|5": {
"acc": 0.7669902912621359,
"acc_stderr": 0.04185832598928315,
"acc_norm": 0.7669902912621359,
"acc_norm_stderr": 0.04185832598928315
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8461538461538461,
"acc_stderr": 0.023636873317489277,
"acc_norm": 0.8461538461538461,
"acc_norm_stderr": 0.023636873317489277
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.75,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.75,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8109833971902938,
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"acc_norm": 0.8109833971902938,
"acc_norm_stderr": 0.014000791294406999
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.684971098265896,
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"acc_norm": 0.684971098265896,
"acc_norm_stderr": 0.0250093137900697
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.45139664804469276,
"acc_stderr": 0.016643307372315872,
"acc_norm": 0.45139664804469276,
"acc_norm_stderr": 0.016643307372315872
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7026143790849673,
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"acc_norm": 0.7026143790849673,
"acc_norm_stderr": 0.026173908506718576
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.6945337620578779,
"acc_stderr": 0.026160584450140453,
"acc_norm": 0.6945337620578779,
"acc_norm_stderr": 0.026160584450140453
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7006172839506173,
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"acc_norm": 0.7006172839506173,
"acc_norm_stderr": 0.025483115601195455
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.46099290780141844,
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"acc_norm": 0.46099290780141844,
"acc_norm_stderr": 0.02973659252642444
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.4367666232073012,
"acc_stderr": 0.012667701919603662,
"acc_norm": 0.4367666232073012,
"acc_norm_stderr": 0.012667701919603662
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6764705882352942,
"acc_stderr": 0.02841820861940676,
"acc_norm": 0.6764705882352942,
"acc_norm_stderr": 0.02841820861940676
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.6437908496732027,
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"acc_norm": 0.6437908496732027,
"acc_norm_stderr": 0.019373332420724504
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.7090909090909091,
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"acc_norm": 0.7090909090909091,
"acc_norm_stderr": 0.04350271442923243
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.6979591836734694,
"acc_stderr": 0.029393609319879804,
"acc_norm": 0.6979591836734694,
"acc_norm_stderr": 0.029393609319879804
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.8059701492537313,
"acc_stderr": 0.0279626776047689,
"acc_norm": 0.8059701492537313,
"acc_norm_stderr": 0.0279626776047689
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.83,
"acc_stderr": 0.0377525168068637,
"acc_norm": 0.83,
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},
"harness|hendrycksTest-virology|5": {
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"acc_norm": 0.5240963855421686,
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},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8596491228070176,
"acc_stderr": 0.0266405825391332,
"acc_norm": 0.8596491228070176,
"acc_norm_stderr": 0.0266405825391332
},
"harness|truthfulqa:mc|0": {
"mc1": 0.36474908200734396,
"mc1_stderr": 0.01685096106172012,
"mc2": 0.5434993224846835,
"mc2_stderr": 0.01537768281733017
},
"harness|winogrande|5": {
"acc": 0.7955801104972375,
"acc_stderr": 0.011334090612597207
},
"harness|gsm8k|5": {
"acc": 0.3457164518574678,
"acc_stderr": 0.013100422990441573
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] | [
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|
FP16/alpaca-finnish-llama2-1k | FP16 | 2023-12-04T16:53:21Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T16:53:15Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 400772
num_examples: 1000
download_size: 242663
dataset_size: 400772
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
plaguss/distilabel-reasoning-instructions | plaguss | 2023-12-04T17:31:39Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T17:31:36Z | ---
dataset_info:
features:
- name: instructions
dtype: string
splits:
- name: train
num_bytes: 34308
num_examples: 445
download_size: 16542
dataset_size: 34308
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
reza-alipour/CollabDif | reza-alipour | 2023-12-04T17:51:40Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T17:50:54Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: mask
dtype: image
- name: caption
dtype: string
- name: generated_image
dtype: image
splits:
- name: train
num_bytes: 1135182756.008
num_examples: 2996
download_size: 1125886820
dataset_size: 1135182756.008
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
benayas/tweet_eval | benayas | 2023-12-04T19:14:53Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T19:14:45Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
splits:
- name: train
num_bytes: 5425122
num_examples: 45615
- name: test
num_bytes: 1279540
num_examples: 12284
- name: validation
num_bytes: 239084
num_examples: 2000
download_size: 4849672
dataset_size: 6943746
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
ashiyakatuka11/c1_dataset_ups | ashiyakatuka11 | 2023-12-04T19:16:24Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T19:16:19Z | ---
dataset_info:
features:
- name: Session_ID
dtype: int64
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1151996
num_examples: 12480
- name: test
num_bytes: 121307
num_examples: 1121
download_size: 325080
dataset_size: 1273303
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ashiyakatuka11/c2_dataset_ups | ashiyakatuka11 | 2023-12-04T19:16:29Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T19:16:27Z | ---
dataset_info:
features:
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: Session_ID
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 356857
num_examples: 4470
- name: test
num_bytes: 71170
num_examples: 866
download_size: 113809
dataset_size: 428027
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ashiyakatuka11/c1_c2_combo_dataset_ups | ashiyakatuka11 | 2023-12-04T19:16:31Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T19:16:29Z | ---
dataset_info:
features:
- name: Session_ID
dtype: string
- name: UserID
dtype: string
- name: Utterance
dtype: string
- name: TAG
dtype: string
- name: new_TAG
dtype: string
- name: labels
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 5567465
num_examples: 16950
- name: test
num_bytes: 643487
num_examples: 1987
download_size: 447402
dataset_size: 6210952
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
Alkemi/xd-violence-reduced | Alkemi | 2023-12-04T20:14:30Z | 1 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-04T20:09:50Z | ---
license: apache-2.0
---
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|
celinelee/thestack_python_threading | celinelee | 2023-12-04T20:44:03Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T20:29:38Z | ---
dataset_info:
features:
- name: source
dtype: string
- name: python
dtype: string
splits:
- name: train
num_bytes: 3869477993.4417205
num_examples: 168964
- name: valid
num_bytes: 483696199.7791398
num_examples: 21121
- name: test
num_bytes: 483696199.7791398
num_examples: 21121
download_size: 1685764929
dataset_size: 4836870393.0
---
# Dataset Card for "thestack_python_threading"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
coastalcph/fm-updates-falcon-instruct-7b | coastalcph | 2023-12-04T22:49:01Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-04T22:48:56Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: query
struct:
- name: label
dtype: string
- name: objects
list:
- name: aliases
sequence: string
- name: label
dtype: string
- name: qid
dtype: string
- name: qid
dtype: string
- name: rel_id
dtype: string
- name: relation
dtype: string
- name: prediction
struct:
- name: predictions
list:
- name: answer
dtype: string
- name: first_token_probability
dtype: float64
- name: per_token_probability
sequence: float64
- name: perplexity
dtype: float64
- name: query
dtype: string
- name: f1
dtype: float64
- name: relation
dtype: string
- name: type
dtype: string
- name: original_answer
dtype: string
- name: updates
sequence: string
splits:
- name: test
num_bytes: 694312.6861702128
num_examples: 1749
download_size: 383499
dataset_size: 694312.6861702128
---
# Dataset Card for "fm-updates-falcon-instruct-7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
fightfei/INFO-desc-llama2 | fightfei | 2023-12-05T00:11:53Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-05T00:09:48Z | ---
dataset_info:
features:
- name: Subject Code
dtype: string
- name: Subject number
dtype: int64
- name: 'Unnamed: 2'
dtype: string
- name: Hours
dtype: string
splits:
- name: train
num_bytes: 2394.0
num_examples: 36
- name: test
num_bytes: 266.0
num_examples: 4
download_size: 6214
dataset_size: 2660.0
---
# Dataset Card for "INFO-desc-llama2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
TrainingDataPro/anti-spoofing_replay | TrainingDataPro | 2023-12-04T18:05:37Z | 0 | 1 | [
"task_categories:video-classification",
"language:en",
"license:cc-by-nc-nd-4.0",
"finance",
"legal",
"code",
"region:us"
]
| [
"video-classification"
]
| 2023-04-28T12:15:43Z | ---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- finance
- legal
- code
dataset_info:
features:
- name: live_video_id
dtype: string
- name: phone
dtype: string
- name: video_file
dtype: string
- name: phone_video_playback
dtype: string
- name: worker_id
dtype: string
splits:
- name: train
num_bytes: 5063
num_examples: 30
download_size: 735628032
dataset_size: 5063
---
# Anti-Spoofing dataset: replay
The dataset consists of 51,000+ videos of replay attacks from people from 157 countries.
It is based on data from **Anti Spoofing Real Dataset**: https://huggingface.co/datasets/TrainingDataPro/anti-spoofing_Real.
The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
The dataset includes: **replay attacks** - videos from Antispoofing Real filmed on the phone.
# Get the dataset
### This is just an example of the data
Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_replay) to discuss your requirements, learn about the price and buy the dataset.
# File with the extension .csv
includes the following information for each media file:
- **live_video_id**: the unique identifier of the "Antispoofing Live" video
- **phone**: the device used to capture the replay video,
- **link**: the URL to access the replay video,
- **phone_video_payback**: the device used to play the "Antispoofing Live" video,
- **worker_id**: the identifier of the person who provided the media file,
# Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file
**How it works**: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first line of the .csv file.*
## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=anti-spoofing_replay) provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** | [
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|
BirdL/BirdRepo | BirdL | 2023-12-04T18:58:18Z | 0 | 1 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-07-10T23:13:44Z | ---
license: apache-2.0
---
TODO Projects done @ BirdL that don't have just one Repo.
- Qwen Pong
- BirdL/DONOTUSE (Demo of Finetuning)
- BIRDL/DONOTUSEV2 (Replacing Xwin-7B with stabilityai/stablelm-3b-4e1t and training with more data.)
- I need to add more diversity in the statements made in DONOTUSEV4
Update: I think I want to keep my career, will move on to something else now. | [
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0.2699768543243408,
-1.1717872619628906
]
|
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