open-llm-leaderboard-old/details_CultriX__MistralTrix-SLERP
收藏Hugging Face2024-01-13 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_CultriX__MistralTrix-SLERP
下载链接
链接失效反馈官方服务：
资源简介：
---
pretty_name: Evaluation run of CultriX/MistralTrix-SLERP
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [CultriX/MistralTrix-SLERP](https://huggingface.co/CultriX/MistralTrix-SLERP)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_CultriX__MistralTrix-SLERP\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-01-13T21:57:09.526776](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__MistralTrix-SLERP/blob/main/results_2024-01-13T21-57-09.526776.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\": 0.6548762565479429,\n\
\ \"acc_stderr\": 0.03203510482454222,\n \"acc_norm\": 0.65460268949256,\n\
\ \"acc_norm_stderr\": 0.0326982976348309,\n \"mc1\": 0.49571603427172584,\n\
\ \"mc1_stderr\": 0.017502858577371275,\n \"mc2\": 0.653460703870151,\n\
\ \"mc2_stderr\": 0.015284820606060751\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6843003412969283,\n \"acc_stderr\": 0.013582571095815291,\n\
\ \"acc_norm\": 0.7081911262798635,\n \"acc_norm_stderr\": 0.013284525292403513\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6971718781119299,\n\
\ \"acc_stderr\": 0.0045854245130121036,\n \"acc_norm\": 0.8754232224656443,\n\
\ \"acc_norm_stderr\": 0.0032956349076664645\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6592592592592592,\n\
\ \"acc_stderr\": 0.04094376269996792,\n \"acc_norm\": 0.6592592592592592,\n\
\ \"acc_norm_stderr\": 0.04094376269996792\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\
\ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.65,\n\
\ \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.65,\n \
\ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7169811320754716,\n \"acc_stderr\": 0.027724236492700914,\n\
\ \"acc_norm\": 0.7169811320754716,\n \"acc_norm_stderr\": 0.027724236492700914\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\
\ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\
\ \"acc_norm_stderr\": 0.03476590104304134\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\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\
: 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\
\ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\
\ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.76,\n\
\ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\
\ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\
\ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\
\ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.42592592592592593,\n \"acc_stderr\": 0.02546714904546955,\n \"\
acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.02546714904546955\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.46825396825396826,\n\
\ \"acc_stderr\": 0.04463112720677172,\n \"acc_norm\": 0.46825396825396826,\n\
\ \"acc_norm_stderr\": 0.04463112720677172\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\"\
: 0.7870967741935484,\n \"acc_stderr\": 0.023287665127268542,\n \"\
acc_norm\": 0.7870967741935484,\n \"acc_norm_stderr\": 0.023287665127268542\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n \"\
acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
: 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.793939393939394,\n \"acc_stderr\": 0.0315841532404771,\n\
\ \"acc_norm\": 0.793939393939394,\n \"acc_norm_stderr\": 0.0315841532404771\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7828282828282829,\n \"acc_stderr\": 0.029376616484945633,\n \"\
acc_norm\": 0.7828282828282829,\n \"acc_norm_stderr\": 0.029376616484945633\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.02150024957603348,\n\
\ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.02150024957603348\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402534,\n\
\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402534\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3592592592592593,\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\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \
\ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\
acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8532110091743119,\n \"acc_stderr\": 0.01517314184512625,\n \"\
acc_norm\": 0.8532110091743119,\n \"acc_norm_stderr\": 0.01517314184512625\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.49537037037037035,\n \"acc_stderr\": 0.03409825519163572,\n \"\
acc_norm\": 0.49537037037037035,\n \"acc_norm_stderr\": 0.03409825519163572\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\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601443,\n \
\ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601443\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\
\ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\
\ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494733,\n\
\ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494733\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\": 0.7777777777777778,\n\
\ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\
\ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.754601226993865,\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\": 0.4375,\n\
\ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \
\ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\
\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.020588491316092375,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.020588491316092375\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8326947637292464,\n\
\ \"acc_stderr\": 0.013347327202920332,\n \"acc_norm\": 0.8326947637292464,\n\
\ \"acc_norm_stderr\": 0.013347327202920332\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7456647398843931,\n \"acc_stderr\": 0.023445826276545543,\n\
\ \"acc_norm\": 0.7456647398843931,\n \"acc_norm_stderr\": 0.023445826276545543\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4402234636871508,\n\
\ \"acc_stderr\": 0.016602564615049935,\n \"acc_norm\": 0.4402234636871508,\n\
\ \"acc_norm_stderr\": 0.016602564615049935\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7320261437908496,\n \"acc_stderr\": 0.025360603796242557,\n\
\ \"acc_norm\": 0.7320261437908496,\n \"acc_norm_stderr\": 0.025360603796242557\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\
\ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\
\ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7623456790123457,\n \"acc_stderr\": 0.02368359183700856,\n\
\ \"acc_norm\": 0.7623456790123457,\n \"acc_norm_stderr\": 0.02368359183700856\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \
\ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46088657105606257,\n\
\ \"acc_stderr\": 0.012731102790504515,\n \"acc_norm\": 0.46088657105606257,\n\
\ \"acc_norm_stderr\": 0.012731102790504515\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\": 0.6830065359477124,\n \"acc_stderr\": 0.018824219512706207,\n \
\ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.018824219512706207\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142777,\n\
\ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142777\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\
\ \"acc_stderr\": 0.025538433368578337,\n \"acc_norm\": 0.845771144278607,\n\
\ \"acc_norm_stderr\": 0.025538433368578337\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\": 0.5481927710843374,\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\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.49571603427172584,\n\
\ \"mc1_stderr\": 0.017502858577371275,\n \"mc2\": 0.653460703870151,\n\
\ \"mc2_stderr\": 0.015284820606060751\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8168902920284136,\n \"acc_stderr\": 0.01086977863316837\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.711144806671721,\n \
\ \"acc_stderr\": 0.012484219800126666\n }\n}\n```"
repo_url: https://huggingface.co/CultriX/MistralTrix-SLERP
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|arc:challenge|25_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|gsm8k|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hellaswag|10_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T21-57-09.526776.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-13T21-57-09.526776.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- '**/details_harness|winogrande|5_2024-01-13T21-57-09.526776.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-01-13T21-57-09.526776.parquet'
- config_name: results
data_files:
- split: 2024_01_13T21_57_09.526776
path:
- results_2024-01-13T21-57-09.526776.parquet
- split: latest
path:
- results_2024-01-13T21-57-09.526776.parquet
---
# Dataset Card for Evaluation run of CultriX/MistralTrix-SLERP
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [CultriX/MistralTrix-SLERP](https://huggingface.co/CultriX/MistralTrix-SLERP) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_CultriX__MistralTrix-SLERP",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-01-13T21:57:09.526776](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__MistralTrix-SLERP/blob/main/results_2024-01-13T21-57-09.526776.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": 0.6548762565479429,
"acc_stderr": 0.03203510482454222,
"acc_norm": 0.65460268949256,
"acc_norm_stderr": 0.0326982976348309,
"mc1": 0.49571603427172584,
"mc1_stderr": 0.017502858577371275,
"mc2": 0.653460703870151,
"mc2_stderr": 0.015284820606060751
},
"harness|arc:challenge|25": {
"acc": 0.6843003412969283,
"acc_stderr": 0.013582571095815291,
"acc_norm": 0.7081911262798635,
"acc_norm_stderr": 0.013284525292403513
},
"harness|hellaswag|10": {
"acc": 0.6971718781119299,
"acc_stderr": 0.0045854245130121036,
"acc_norm": 0.8754232224656443,
"acc_norm_stderr": 0.0032956349076664645
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6592592592592592,
"acc_stderr": 0.04094376269996792,
"acc_norm": 0.6592592592592592,
"acc_norm_stderr": 0.04094376269996792
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6842105263157895,
"acc_stderr": 0.0378272898086547,
"acc_norm": 0.6842105263157895,
"acc_norm_stderr": 0.0378272898086547
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.65,
"acc_stderr": 0.0479372485441102,
"acc_norm": 0.65,
"acc_norm_stderr": 0.0479372485441102
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.7169811320754716,
"acc_stderr": 0.027724236492700914,
"acc_norm": 0.7169811320754716,
"acc_norm_stderr": 0.027724236492700914
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7777777777777778,
"acc_stderr": 0.03476590104304134,
"acc_norm": 0.7777777777777778,
"acc_norm_stderr": 0.03476590104304134
},
"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": 0.53,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.53,
"acc_norm_stderr": 0.050161355804659205
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6589595375722543,
"acc_stderr": 0.03614665424180826,
"acc_norm": 0.6589595375722543,
"acc_norm_stderr": 0.03614665424180826
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.4411764705882353,
"acc_stderr": 0.049406356306056595,
"acc_norm": 0.4411764705882353,
"acc_norm_stderr": 0.049406356306056595
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.76,
"acc_stderr": 0.04292346959909283,
"acc_norm": 0.76,
"acc_norm_stderr": 0.04292346959909283
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5957446808510638,
"acc_stderr": 0.03208115750788684,
"acc_norm": 0.5957446808510638,
"acc_norm_stderr": 0.03208115750788684
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5,
"acc_stderr": 0.047036043419179864,
"acc_norm": 0.5,
"acc_norm_stderr": 0.047036043419179864
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5310344827586206,
"acc_stderr": 0.04158632762097828,
"acc_norm": 0.5310344827586206,
"acc_norm_stderr": 0.04158632762097828
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.42592592592592593,
"acc_stderr": 0.02546714904546955,
"acc_norm": 0.42592592592592593,
"acc_norm_stderr": 0.02546714904546955
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.46825396825396826,
"acc_stderr": 0.04463112720677172,
"acc_norm": 0.46825396825396826,
"acc_norm_stderr": 0.04463112720677172
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.35,
"acc_stderr": 0.047937248544110196,
"acc_norm": 0.35,
"acc_norm_stderr": 0.047937248544110196
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7870967741935484,
"acc_stderr": 0.023287665127268542,
"acc_norm": 0.7870967741935484,
"acc_norm_stderr": 0.023287665127268542
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5024630541871922,
"acc_stderr": 0.035179450386910616,
"acc_norm": 0.5024630541871922,
"acc_norm_stderr": 0.035179450386910616
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.7,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.7,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.793939393939394,
"acc_stderr": 0.0315841532404771,
"acc_norm": 0.793939393939394,
"acc_norm_stderr": 0.0315841532404771
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7828282828282829,
"acc_stderr": 0.029376616484945633,
"acc_norm": 0.7828282828282829,
"acc_norm_stderr": 0.029376616484945633
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.9015544041450777,
"acc_stderr": 0.02150024957603348,
"acc_norm": 0.9015544041450777,
"acc_norm_stderr": 0.02150024957603348
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6666666666666666,
"acc_stderr": 0.023901157979402534,
"acc_norm": 0.6666666666666666,
"acc_norm_stderr": 0.023901157979402534
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3592592592592593,
"acc_stderr": 0.029252905927251972,
"acc_norm": 0.3592592592592593,
"acc_norm_stderr": 0.029252905927251972
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.680672268907563,
"acc_stderr": 0.030283995525884396,
"acc_norm": 0.680672268907563,
"acc_norm_stderr": 0.030283995525884396
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.3509933774834437,
"acc_stderr": 0.03896981964257375,
"acc_norm": 0.3509933774834437,
"acc_norm_stderr": 0.03896981964257375
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8532110091743119,
"acc_stderr": 0.01517314184512625,
"acc_norm": 0.8532110091743119,
"acc_norm_stderr": 0.01517314184512625
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.49537037037037035,
"acc_stderr": 0.03409825519163572,
"acc_norm": 0.49537037037037035,
"acc_norm_stderr": 0.03409825519163572
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.8333333333333334,
"acc_stderr": 0.026156867523931045,
"acc_norm": 0.8333333333333334,
"acc_norm_stderr": 0.026156867523931045
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7974683544303798,
"acc_stderr": 0.026160568246601443,
"acc_norm": 0.7974683544303798,
"acc_norm_stderr": 0.026160568246601443
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6905829596412556,
"acc_stderr": 0.03102441174057221,
"acc_norm": 0.6905829596412556,
"acc_norm_stderr": 0.03102441174057221
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.816793893129771,
"acc_stderr": 0.03392770926494733,
"acc_norm": 0.816793893129771,
"acc_norm_stderr": 0.03392770926494733
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7933884297520661,
"acc_stderr": 0.03695980128098824,
"acc_norm": 0.7933884297520661,
"acc_norm_stderr": 0.03695980128098824
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7777777777777778,
"acc_stderr": 0.0401910747255735,
"acc_norm": 0.7777777777777778,
"acc_norm_stderr": 0.0401910747255735
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.754601226993865,
"acc_stderr": 0.03380939813943354,
"acc_norm": 0.754601226993865,
"acc_norm_stderr": 0.03380939813943354
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.4375,
"acc_stderr": 0.04708567521880525,
"acc_norm": 0.4375,
"acc_norm_stderr": 0.04708567521880525
},
"harness|hendrycksTest-management|5": {
"acc": 0.7766990291262136,
"acc_stderr": 0.04123553189891431,
"acc_norm": 0.7766990291262136,
"acc_norm_stderr": 0.04123553189891431
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8888888888888888,
"acc_stderr": 0.020588491316092375,
"acc_norm": 0.8888888888888888,
"acc_norm_stderr": 0.020588491316092375
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.72,
"acc_stderr": 0.045126085985421276,
"acc_norm": 0.72,
"acc_norm_stderr": 0.045126085985421276
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8326947637292464,
"acc_stderr": 0.013347327202920332,
"acc_norm": 0.8326947637292464,
"acc_norm_stderr": 0.013347327202920332
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7456647398843931,
"acc_stderr": 0.023445826276545543,
"acc_norm": 0.7456647398843931,
"acc_norm_stderr": 0.023445826276545543
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.4402234636871508,
"acc_stderr": 0.016602564615049935,
"acc_norm": 0.4402234636871508,
"acc_norm_stderr": 0.016602564615049935
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7320261437908496,
"acc_stderr": 0.025360603796242557,
"acc_norm": 0.7320261437908496,
"acc_norm_stderr": 0.025360603796242557
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7106109324758842,
"acc_stderr": 0.025755865922632945,
"acc_norm": 0.7106109324758842,
"acc_norm_stderr": 0.025755865922632945
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7623456790123457,
"acc_stderr": 0.02368359183700856,
"acc_norm": 0.7623456790123457,
"acc_norm_stderr": 0.02368359183700856
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.4929078014184397,
"acc_stderr": 0.02982449855912901,
"acc_norm": 0.4929078014184397,
"acc_norm_stderr": 0.02982449855912901
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.46088657105606257,
"acc_stderr": 0.012731102790504515,
"acc_norm": 0.46088657105606257,
"acc_norm_stderr": 0.012731102790504515
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6654411764705882,
"acc_stderr": 0.028661996202335303,
"acc_norm": 0.6654411764705882,
"acc_norm_stderr": 0.028661996202335303
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.6830065359477124,
"acc_stderr": 0.018824219512706207,
"acc_norm": 0.6830065359477124,
"acc_norm_stderr": 0.018824219512706207
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6727272727272727,
"acc_stderr": 0.0449429086625209,
"acc_norm": 0.6727272727272727,
"acc_norm_stderr": 0.0449429086625209
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.7387755102040816,
"acc_stderr": 0.028123429335142777,
"acc_norm": 0.7387755102040816,
"acc_norm_stderr": 0.028123429335142777
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.845771144278607,
"acc_stderr": 0.025538433368578337,
"acc_norm": 0.845771144278607,
"acc_norm_stderr": 0.025538433368578337
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.84,
"acc_stderr": 0.03684529491774708,
"acc_norm": 0.84,
"acc_norm_stderr": 0.03684529491774708
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5481927710843374,
"acc_stderr": 0.03874371556587953,
"acc_norm": 0.5481927710843374,
"acc_norm_stderr": 0.03874371556587953
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8362573099415205,
"acc_stderr": 0.028380919596145866,
"acc_norm": 0.8362573099415205,
"acc_norm_stderr": 0.028380919596145866
},
"harness|truthfulqa:mc|0": {
"mc1": 0.49571603427172584,
"mc1_stderr": 0.017502858577371275,
"mc2": 0.653460703870151,
"mc2_stderr": 0.015284820606060751
},
"harness|winogrande|5": {
"acc": 0.8168902920284136,
"acc_stderr": 0.01086977863316837
},
"harness|gsm8k|5": {
"acc": 0.711144806671721,
"acc_stderr": 0.012484219800126666
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed]
原始信息汇总
数据集概述
该数据集是在模型 CultriX/MistralTrix-SLERP 的评估运行期间自动创建的，用于 Open LLM Leaderboard。
数据集组成
- 数据集包含 63 个配置，每个配置对应一个评估任务。
- 数据集从 1 次运行中创建。每个运行可以在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。
- "train" 分割总是指向最新的结果。
- 一个额外的配置 "results" 存储所有运行结果的聚合，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_CultriX__MistralTrix-SLERP", "harness_winogrande_5", split="train")
最新结果
以下是 2024-01-13T21:57:09.526776 运行的最新结果：
python { "all": { "acc": 0.6548762565479429, "acc_stderr": 0.03203510482454222, "acc_norm": 0.65460268949256, "acc_norm_stderr": 0.0326982976348309, "mc1": 0.49571603427172584, "mc1_stderr": 0.017502858577371275, "mc2": 0.653460703870151, "mc2_stderr": 0.015284820606060751 }, "harness|arc:challenge|25": { "acc": 0.6843003412969283, "acc_stderr": 0.013582571095815291, "acc_norm": 0.7081911262798635, "acc_norm_stderr": 0.013284525292403513 }, "harness|hellaswag|10": { "acc": 0.6971718781119299, "acc_stderr": 0.0045854245130121036, "acc_norm": 0.8754232224656443, "acc_norm_stderr": 0.0032956349076664645 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6592592592592592, "acc_stderr": 0.04094376269996792, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996792 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7169811320754716, "acc_stderr": 0.027724236492700914, "acc_norm": 0.7169811320754716, "acc_norm_stderr": 0.027724236492700914 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "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": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4411764705882353, "acc_stderr": 0.049406356306056595, "acc_norm": 0.4411764705882353, "acc_norm_stderr": 0.049406356306056595 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5957446808510638, "acc_stderr": 0.03208115750788684, "acc_norm": 0.5957446808510638, "acc_norm_stderr": 0.03208115750788684 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5310344827586206, "acc_stderr": 0.04158632762097828, "acc_norm": 0.5310344827586206, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42592592592592593, "acc_stderr": 0.02546714904546955, "acc_norm": 0.42592592592592593, "acc_norm_stderr": 0.02546714904546955 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.46825396825396826, "acc_stderr": 0.04463112720677172, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.04463112720677172 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268542, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268542 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.793939393939394, "acc_stderr": 0.0315841532404771, "acc_norm": 0.793939393939394, "acc_norm_stderr": 0.0315841532404771 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7828282828282829, "acc_stderr": 0.029376616484945633, "acc_norm": 0.7828282828282829, "acc_norm_stderr": 0.029376616484945633 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.02150024957603348, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.02150024957603348 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402534, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402534 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251972, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251972 }, "harness|hendry
搜集汇总
数据集介绍
构建方式
在大型语言模型评测领域，Open LLM Leaderboard为模型性能的标准化评估提供了重要基准。该数据集专为记录CultriX/MistralTrix-SLERP模型在Open LLM Leaderboard上的评测结果而自动生成。其构建过程基于一次完整的评测运行，共涵盖63个评测任务配置，每个配置对应一个特定的评估任务。数据集通过Parquet格式文件存储各任务的详细评测数据，并依据运行时间戳为每次运行创建独立的数据分割，同时设置'train'分割始终指向最新评测结果，另设'results'配置用于聚合所有运行的整体指标。
特点
该数据集呈现出高度结构化的组织特性，其63个配置分别对应ARC挑战、HellaSwag、GSM8K、TruthfulQA、WinoGrande以及涵盖57个学科的MMLU等多样化评测任务。每个配置内部均以时间戳命名分割，确保了历史版本的可追溯性，而'latest'分割则自动更新至最新结果，便于持续追踪模型性能演变。数据集中还包含一个独立的'results'配置，专门存储聚合后的整体评估指标，为模型能力的综合评判提供了便捷入口。
使用方法
研究者可通过HuggingFace的datasets库便捷地加载该数据集，例如使用load_dataset函数指定数据集名称和对应配置，如'harness_winogrande_5'，并通过split参数选择'train'以获取最新评测结果。对于需要访问历史版本的需求，可依据具体时间戳分割加载相应数据。此外，'results'配置提供了聚合评估指标的快速访问途径，支持对模型在全部任务上的综合表现进行系统性分析，为模型改进方向提供数据支撑。
背景与挑战
背景概述
大语言模型（LLM）的迅猛发展催生了对模型性能进行系统化、标准化评估的迫切需求。在此背景下，Hugging Face团队于2023年发起了Open LLM Leaderboard项目，旨在通过统一的任务基准和自动化评估流程，为社区提供一个透明、可复现的模型性能比较平台。该数据集作为项目的一部分，专门记录了由CultriX团队开发的MistralTrix-SLERP模型在2024年1月13日的一次完整评估运行结果。数据集涵盖63个任务配置，包括ARC挑战赛、HellaSwag、GSM8K、Winogrande、TruthfulQA以及涵盖57个学科的MMLU基准测试，全面反映了模型在推理、常识、数学、语言理解及多领域知识上的表现。该数据集不仅为研究人员提供了细粒度的模型性能分析依据，也推动了LLM评估范式的标准化进程，对社区内模型比较与迭代优化具有重要参考价值。
当前挑战
该数据集所应对的核心挑战在于，大语言模型在多样化任务上的性能评估缺乏统一、可复现的基准。不同研究机构采用迥异的评测流程和指标，导致模型间难以进行公平比较。为此，Open LLM Leaderboard通过标准化任务集合与自动化评估管线，解决了跨模型、跨时间评估的一致性难题。在构建过程中，数据集面临了多重技术挑战：其一，需为每个任务定义明确的评估配置（如采样数量、提示格式），确保结果可靠；其二，需处理不同任务间结果格式的异构性，将63个任务的原始输出统一转换为Parquet格式并聚合为结构化数据集；其三，需实现版本控制与增量更新机制，通过时间戳区分多次运行结果，并维护指向最新数据的“train”分割，以支持持续追踪模型演进。这些挑战的克服使得该数据集成为LLM评估基础设施的关键组件。
常用场景
经典使用场景
该数据集作为Open LLM Leaderboard评估流程的产物，专为记录和复现CultriX/MistralTrix-SLERP模型在63项基准任务中的细粒度表现而设计。其经典用途在于通过统一的评测框架，系统性地量化模型在ARC挑战集、HellaSwag常识推理、GSM8K数学问题求解、MMLU多学科知识以及TruthfulQA事实性检验等核心任务上的能力。研究者可利用此数据集对模型进行横向对比与纵向追踪，深入分析其在不同难度与领域下的性能边界。
解决学术问题
该数据集有效解决了大语言模型评估中普遍存在的可重复性危机与评测碎片化问题。通过将单一模型的完整评测结果以标准化格式归档，它使得学术界能够精准剖析模型在推理、知识记忆与事实一致性等维度上的优劣。这为探究模型泛化能力、揭示微调策略对特定任务的影响提供了可靠的数据基础，进而推动了模型评估方法论从定性描述向定量分析的范式转变。
衍生相关工作
围绕该数据集衍生的经典工作包括基于Leaderboard排名驱动的模型架构创新，例如通过SLERP插值融合多模型优势的MistralTrix系列研究。此外，数据集中细粒度的分项得分催生了针对特定能力短板（如数学推理、伦理判断）的专项增强方法，以及利用评测结果进行模型可解释性分析的工作。这些研究共同构成了从评估到优化的闭环，促进了开源大模型生态的良性演进。
以上内容由遇见数据集搜集并总结生成
