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yaygomii/Tamil-Speech-Dialect-Corpus-Shuffled-Split | yaygomii | "2024-02-04T03:49:26Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T03:47:04Z" | ---
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configs:
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data_files:
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path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
|
Henriettaisme/123 | Henriettaisme | "2024-02-04T03:54:17Z" | 33 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-02-04T03:54:16Z" | ---
license: apache-2.0
---
|
Jiayao/UEGPT-Datasets | Jiayao | "2024-02-04T06:07:17Z" | 33 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-02-04T06:07:17Z" | ---
license: apache-2.0
---
|
empiricist/philosophy_chat | empiricist | "2024-02-04T07:45:14Z" | 33 | 2 | [
"license:mit",
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"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T07:36:32Z" | ---
license: mit
---
|
mtc/xnli_de_sub_sampled_3000_with_all_gpt-3-5_explanations | mtc | "2024-02-04T09:15:19Z" | 33 | 0 | [
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"format:parquet",
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"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T09:15:16Z" | ---
dataset_info:
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dtype: string
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dtype:
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names:
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'1': neutral
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configs:
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data_files:
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path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
Nexdata/PPT_OCR_Data_of_8_Languages | Nexdata | "2024-08-05T03:27:32Z" | 33 | 1 | [
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-02-04T09:28:23Z" | ---
license: cc-by-nc-4.0
---
## Description
14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as OCR of multi-language.
For more details, please refer to the link: https://www.nexdata.ai/datasets/ocr/979?source=Huggingface
## Data size
14,980 images, 8 languages
## Data environment
including meeting room, conference room
## Language types
French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian
## Data diversity
multiple scenes, multiple languages, different photographic angles, different photographic distances, different light conditions
## Device
cellphone
## Collecting angles
front, left, right, looking up angle
## Data format
the image data format is .jpg, the annotation file data format is .json
## Annotation content
line-level quadrilateral bounding box annotation and transcription for the texts
## Accuracy
the error bound of each vertex of quadrilateral bounding box is within 5 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 95%; the texts transcription accuracy is not less than 95%
# Licensing Information
Commercial License |
chathuranga-jayanath/context-5-finmath-times4j-html-mavendoxia-wro4j-guava-supercsv-len-1000-prompt-2 | chathuranga-jayanath | "2024-02-04T11:29:14Z" | 33 | 0 | [
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"library:mlcroissant",
"library:polars",
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] | null | "2024-02-04T11:29:01Z" | ---
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configs:
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data_files:
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path: data/train-*
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path: data/validation-*
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path: data/test-*
---
|
StellarHouse/RequestDisect | StellarHouse | "2024-02-04T14:22:57Z" | 33 | 0 | [
"license:mit",
"region:us"
] | null | "2024-02-04T14:22:57Z" | ---
license: mit
---
|
DataStudio/OCRWordLevelClear_06 | DataStudio | "2024-02-04T14:53:57Z" | 33 | 0 | [
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"library:mlcroissant",
"library:polars",
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] | null | "2024-02-04T14:40:24Z" | ---
dataset_info:
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path: data/train-*
---
|
IanTseng/Med-term3 | IanTseng | "2024-02-05T06:20:40Z" | 33 | 0 | [
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"library:datasets",
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] | null | "2024-02-04T14:53:16Z" | ---
dataset_info:
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---
|
McSpicyWithMilo/target-elements-0.3split | McSpicyWithMilo | "2024-02-04T15:17:48Z" | 33 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
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] | null | "2024-02-04T15:17:40Z" | ---
dataset_info:
features:
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dtype: string
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configs:
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data_files:
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path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "target-elements-0.3split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
paperplaneflyr/recepies_reduced_3.0_1K | paperplaneflyr | "2024-02-04T16:25:09Z" | 33 | 0 | [
"license:mit",
"size_categories:1K<n<10K",
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"library:mlcroissant",
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] | null | "2024-02-04T15:28:53Z" | ---
license: mit
---
|
tyzhu/random25eof_find_passage_train5000_eval1000_rare | tyzhu | "2024-02-04T15:44:33Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T15:31:01Z" | ---
configs:
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data_files:
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download_size: 452523
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---
# Dataset Card for "random25eof_find_passage_train5000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tyzhu/random25eof_find_passage_train50000000_eval1000_rare | tyzhu | "2024-02-04T15:47:37Z" | 33 | 0 | [
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] | null | "2024-02-04T15:35:57Z" | ---
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---
# Dataset Card for "random25eof_find_passage_train50000000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
MarkrAI/multilingual | MarkrAI | "2024-02-04T17:04:05Z" | 33 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | "2024-02-04T16:49:00Z" | ---
license: cc-by-nc-sa-4.0
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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dataset_size: 7214103845
---
|
Mohamad-Jaallouk/ConstSceneSnow | Mohamad-Jaallouk | "2024-02-04T16:55:07Z" | 33 | 0 | [
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] | null | "2024-02-04T16:54:29Z" | ---
dataset_info:
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path: data/validation-*
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path: data/test-*
---
|
P1ot3r/cv-train-pl-whisper-small | P1ot3r | "2024-02-04T17:05:46Z" | 33 | 0 | [
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"library:mlcroissant",
"library:polars",
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] | null | "2024-02-04T16:59:16Z" | ---
dataset_info:
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---
|
open-llm-leaderboard-old/details_gmonsoon__MiaAffogato-Indo-Mistral-7b | open-llm-leaderboard-old | "2024-02-04T17:36:47Z" | 33 | 0 | [
"region:us"
] | null | "2024-02-04T17:36:25Z" | ---
pretty_name: Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [gmonsoon/MiaAffogato-Indo-Mistral-7b](https://huggingface.co/gmonsoon/MiaAffogato-Indo-Mistral-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_gmonsoon__MiaAffogato-Indo-Mistral-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-02-04T17:34:06.201391](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__MiaAffogato-Indo-Mistral-7b/blob/main/results_2024-02-04T17-34-06.201391.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\": 0.644912685809928,\n\
\ \"acc_stderr\": 0.03209671177294616,\n \"acc_norm\": 0.6450526633312276,\n\
\ \"acc_norm_stderr\": 0.032762897968506996,\n \"mc1\": 0.4186046511627907,\n\
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\ \"mc2_stderr\": 0.015361574502931194\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6322525597269625,\n \"acc_stderr\": 0.014090995618168477,\n\
\ \"acc_norm\": 0.6638225255972696,\n \"acc_norm_stderr\": 0.013804855026205761\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6585341565425215,\n\
\ \"acc_stderr\": 0.004732322172153749,\n \"acc_norm\": 0.8543118900617407,\n\
\ \"acc_norm_stderr\": 0.0035207225053320934\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\": 0.6370370370370371,\n\
\ \"acc_stderr\": 0.041539484047423976,\n \"acc_norm\": 0.6370370370370371,\n\
\ \"acc_norm_stderr\": 0.041539484047423976\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\
\ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n\
\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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\ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7222222222222222,\n\
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\ \"acc_norm_stderr\": 0.037455547914624555\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\": 0.49,\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\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n\
\ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\
\ \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.048971049527263666,\n\
\ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.048971049527263666\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.77,\n\
\ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224469,\n\
\ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224469\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\
\ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\
\ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n\
\ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.4021164021164021,\n \"acc_stderr\": 0.025253032554997692,\n \"\
acc_norm\": 0.4021164021164021,\n \"acc_norm_stderr\": 0.025253032554997692\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\
\ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\
\ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.35,\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\"\
: 0.7677419354838709,\n \"acc_stderr\": 0.024022256130308235,\n \"\
acc_norm\": 0.7677419354838709,\n \"acc_norm_stderr\": 0.024022256130308235\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\": 0.69,\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\": 0.7757575757575758,\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\"\
: 0.8080808080808081,\n \"acc_stderr\": 0.02805779167298902,\n \"\
acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.02805779167298902\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.023381935348121437,\n\
\ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.023381935348121437\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\": 0.3074074074074074,\n \"acc_stderr\": 0.028133252578815632,\n \
\ \"acc_norm\": 0.3074074074074074,\n \"acc_norm_stderr\": 0.028133252578815632\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.030684737115135353,\n\
\ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.030684737115135353\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\"\
: 0.8330275229357799,\n \"acc_stderr\": 0.01599015488507338,\n \"\
acc_norm\": 0.8330275229357799,\n \"acc_norm_stderr\": 0.01599015488507338\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5370370370370371,\n \"acc_stderr\": 0.03400603625538272,\n \"\
acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.03400603625538272\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\
acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.810126582278481,\n \"acc_stderr\": 0.025530100460233494,\n \
\ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.025530100460233494\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\": 0.8091603053435115,\n \"acc_stderr\": 0.03446513350752599,\n\
\ \"acc_norm\": 0.8091603053435115,\n \"acc_norm_stderr\": 0.03446513350752599\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7933884297520661,\n \"acc_stderr\": 0.036959801280988226,\n \"\
acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.036959801280988226\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\": 0.7607361963190185,\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\": 0.5267857142857143,\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\": 0.03916667762822585,\n\
\ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822585\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.020588491316092382,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.020588491316092382\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\": 0.8263090676883781,\n\
\ \"acc_stderr\": 0.013547415658662255,\n \"acc_norm\": 0.8263090676883781,\n\
\ \"acc_norm_stderr\": 0.013547415658662255\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7427745664739884,\n \"acc_stderr\": 0.023532925431044283,\n\
\ \"acc_norm\": 0.7427745664739884,\n \"acc_norm_stderr\": 0.023532925431044283\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.36983240223463687,\n\
\ \"acc_stderr\": 0.016145881256056215,\n \"acc_norm\": 0.36983240223463687,\n\
\ \"acc_norm_stderr\": 0.016145881256056215\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.02573885479781874,\n\
\ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.02573885479781874\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\
\ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\
\ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\
\ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4716312056737589,\n \"acc_stderr\": 0.029779450957303062,\n \
\ \"acc_norm\": 0.4716312056737589,\n \"acc_norm_stderr\": 0.029779450957303062\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4517601043024772,\n\
\ \"acc_stderr\": 0.012710662233660247,\n \"acc_norm\": 0.4517601043024772,\n\
\ \"acc_norm_stderr\": 0.012710662233660247\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\": 0.6470588235294118,\n \"acc_stderr\": 0.01933314202079716,\n \
\ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.01933314202079716\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\": 0.7142857142857143,\n \"acc_stderr\": 0.028920583220675596,\n\
\ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.028920583220675596\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\
\ \"acc_stderr\": 0.026508590656233257,\n \"acc_norm\": 0.8308457711442786,\n\
\ \"acc_norm_stderr\": 0.026508590656233257\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\
\ \"acc_stderr\": 0.03891364495835816,\n \"acc_norm\": 0.5120481927710844,\n\
\ \"acc_norm_stderr\": 0.03891364495835816\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4186046511627907,\n\
\ \"mc1_stderr\": 0.017270015284476855,\n \"mc2\": 0.5818075900070901,\n\
\ \"mc2_stderr\": 0.015361574502931194\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8318863456985004,\n \"acc_stderr\": 0.010510336954166737\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6770280515542078,\n \
\ \"acc_stderr\": 0.012880360794851815\n }\n}\n```"
repo_url: https://huggingface.co/gmonsoon/MiaAffogato-Indo-Mistral-7b
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_02_04T17_34_06.201391
path:
- '**/details_harness|arc:challenge|25_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|gsm8k|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hellaswag|10_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-04T17-34-06.201391.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-04T17-34-06.201391.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- '**/details_harness|winogrande|5_2024-02-04T17-34-06.201391.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-02-04T17-34-06.201391.parquet'
- config_name: results
data_files:
- split: 2024_02_04T17_34_06.201391
path:
- results_2024-02-04T17-34-06.201391.parquet
- split: latest
path:
- results_2024-02-04T17-34-06.201391.parquet
---
# Dataset Card for Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gmonsoon/MiaAffogato-Indo-Mistral-7b](https://huggingface.co/gmonsoon/MiaAffogato-Indo-Mistral-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_gmonsoon__MiaAffogato-Indo-Mistral-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-02-04T17:34:06.201391](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__MiaAffogato-Indo-Mistral-7b/blob/main/results_2024-02-04T17-34-06.201391.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": 0.644912685809928,
"acc_stderr": 0.03209671177294616,
"acc_norm": 0.6450526633312276,
"acc_norm_stderr": 0.032762897968506996,
"mc1": 0.4186046511627907,
"mc1_stderr": 0.017270015284476855,
"mc2": 0.5818075900070901,
"mc2_stderr": 0.015361574502931194
},
"harness|arc:challenge|25": {
"acc": 0.6322525597269625,
"acc_stderr": 0.014090995618168477,
"acc_norm": 0.6638225255972696,
"acc_norm_stderr": 0.013804855026205761
},
"harness|hellaswag|10": {
"acc": 0.6585341565425215,
"acc_stderr": 0.004732322172153749,
"acc_norm": 0.8543118900617407,
"acc_norm_stderr": 0.0035207225053320934
},
"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": 0.6370370370370371,
"acc_stderr": 0.041539484047423976,
"acc_norm": 0.6370370370370371,
"acc_norm_stderr": 0.041539484047423976
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.7171052631578947,
"acc_stderr": 0.03665349695640767,
"acc_norm": 0.7171052631578947,
"acc_norm_stderr": 0.03665349695640767
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.61,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.61,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.720754716981132,
"acc_stderr": 0.027611163402399715,
"acc_norm": 0.720754716981132,
"acc_norm_stderr": 0.027611163402399715
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7222222222222222,
"acc_stderr": 0.037455547914624555,
"acc_norm": 0.7222222222222222,
"acc_norm_stderr": 0.037455547914624555
},
"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": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.29,
"acc_stderr": 0.04560480215720683,
"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720683
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.630057803468208,
"acc_stderr": 0.0368122963339432,
"acc_norm": 0.630057803468208,
"acc_norm_stderr": 0.0368122963339432
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.4117647058823529,
"acc_stderr": 0.048971049527263666,
"acc_norm": 0.4117647058823529,
"acc_norm_stderr": 0.048971049527263666
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.77,
"acc_stderr": 0.042295258468165065,
"acc_norm": 0.77,
"acc_norm_stderr": 0.042295258468165065
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.574468085106383,
"acc_stderr": 0.03232146916224469,
"acc_norm": 0.574468085106383,
"acc_norm_stderr": 0.03232146916224469
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.4649122807017544,
"acc_stderr": 0.046920083813689104,
"acc_norm": 0.4649122807017544,
"acc_norm_stderr": 0.046920083813689104
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5655172413793104,
"acc_stderr": 0.04130740879555498,
"acc_norm": 0.5655172413793104,
"acc_norm_stderr": 0.04130740879555498
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.4021164021164021,
"acc_stderr": 0.025253032554997692,
"acc_norm": 0.4021164021164021,
"acc_norm_stderr": 0.025253032554997692
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.49206349206349204,
"acc_stderr": 0.044715725362943486,
"acc_norm": 0.49206349206349204,
"acc_norm_stderr": 0.044715725362943486
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.35,
"acc_stderr": 0.047937248544110196,
"acc_norm": 0.35,
"acc_norm_stderr": 0.047937248544110196
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7677419354838709,
"acc_stderr": 0.024022256130308235,
"acc_norm": 0.7677419354838709,
"acc_norm_stderr": 0.024022256130308235
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.4975369458128079,
"acc_stderr": 0.03517945038691063,
"acc_norm": 0.4975369458128079,
"acc_norm_stderr": 0.03517945038691063
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.69,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.69,
"acc_norm_stderr": 0.04648231987117316
},
"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": 0.8080808080808081,
"acc_stderr": 0.02805779167298902,
"acc_norm": 0.8080808080808081,
"acc_norm_stderr": 0.02805779167298902
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8808290155440415,
"acc_stderr": 0.023381935348121437,
"acc_norm": 0.8808290155440415,
"acc_norm_stderr": 0.023381935348121437
},
"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": 0.3074074074074074,
"acc_stderr": 0.028133252578815632,
"acc_norm": 0.3074074074074074,
"acc_norm_stderr": 0.028133252578815632
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6638655462184874,
"acc_stderr": 0.030684737115135353,
"acc_norm": 0.6638655462184874,
"acc_norm_stderr": 0.030684737115135353
},
"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": 0.8330275229357799,
"acc_stderr": 0.01599015488507338,
"acc_norm": 0.8330275229357799,
"acc_norm_stderr": 0.01599015488507338
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5370370370370371,
"acc_stderr": 0.03400603625538272,
"acc_norm": 0.5370370370370371,
"acc_norm_stderr": 0.03400603625538272
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.8382352941176471,
"acc_stderr": 0.02584501798692692,
"acc_norm": 0.8382352941176471,
"acc_norm_stderr": 0.02584501798692692
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.810126582278481,
"acc_stderr": 0.025530100460233494,
"acc_norm": 0.810126582278481,
"acc_norm_stderr": 0.025530100460233494
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6816143497757847,
"acc_stderr": 0.03126580522513713,
"acc_norm": 0.6816143497757847,
"acc_norm_stderr": 0.03126580522513713
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.8091603053435115,
"acc_stderr": 0.03446513350752599,
"acc_norm": 0.8091603053435115,
"acc_norm_stderr": 0.03446513350752599
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7933884297520661,
"acc_stderr": 0.036959801280988226,
"acc_norm": 0.7933884297520661,
"acc_norm_stderr": 0.036959801280988226
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7962962962962963,
"acc_stderr": 0.03893542518824847,
"acc_norm": 0.7962962962962963,
"acc_norm_stderr": 0.03893542518824847
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.7607361963190185,
"acc_stderr": 0.033519538795212696,
"acc_norm": 0.7607361963190185,
"acc_norm_stderr": 0.033519538795212696
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.5267857142857143,
"acc_stderr": 0.047389751192741546,
"acc_norm": 0.5267857142857143,
"acc_norm_stderr": 0.047389751192741546
},
"harness|hendrycksTest-management|5": {
"acc": 0.8058252427184466,
"acc_stderr": 0.03916667762822585,
"acc_norm": 0.8058252427184466,
"acc_norm_stderr": 0.03916667762822585
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8888888888888888,
"acc_stderr": 0.020588491316092382,
"acc_norm": 0.8888888888888888,
"acc_norm_stderr": 0.020588491316092382
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.7,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.7,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8263090676883781,
"acc_stderr": 0.013547415658662255,
"acc_norm": 0.8263090676883781,
"acc_norm_stderr": 0.013547415658662255
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7427745664739884,
"acc_stderr": 0.023532925431044283,
"acc_norm": 0.7427745664739884,
"acc_norm_stderr": 0.023532925431044283
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.36983240223463687,
"acc_stderr": 0.016145881256056215,
"acc_norm": 0.36983240223463687,
"acc_norm_stderr": 0.016145881256056215
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7189542483660131,
"acc_stderr": 0.02573885479781874,
"acc_norm": 0.7189542483660131,
"acc_norm_stderr": 0.02573885479781874
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7138263665594855,
"acc_stderr": 0.025670259242188933,
"acc_norm": 0.7138263665594855,
"acc_norm_stderr": 0.025670259242188933
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7345679012345679,
"acc_stderr": 0.024569223600460845,
"acc_norm": 0.7345679012345679,
"acc_norm_stderr": 0.024569223600460845
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.4716312056737589,
"acc_stderr": 0.029779450957303062,
"acc_norm": 0.4716312056737589,
"acc_norm_stderr": 0.029779450957303062
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.4517601043024772,
"acc_stderr": 0.012710662233660247,
"acc_norm": 0.4517601043024772,
"acc_norm_stderr": 0.012710662233660247
},
"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": 0.6470588235294118,
"acc_stderr": 0.01933314202079716,
"acc_norm": 0.6470588235294118,
"acc_norm_stderr": 0.01933314202079716
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6545454545454545,
"acc_stderr": 0.04554619617541054,
"acc_norm": 0.6545454545454545,
"acc_norm_stderr": 0.04554619617541054
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.7142857142857143,
"acc_stderr": 0.028920583220675596,
"acc_norm": 0.7142857142857143,
"acc_norm_stderr": 0.028920583220675596
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.8308457711442786,
"acc_stderr": 0.026508590656233257,
"acc_norm": 0.8308457711442786,
"acc_norm_stderr": 0.026508590656233257
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.86,
"acc_stderr": 0.0348735088019777,
"acc_norm": 0.86,
"acc_norm_stderr": 0.0348735088019777
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5120481927710844,
"acc_stderr": 0.03891364495835816,
"acc_norm": 0.5120481927710844,
"acc_norm_stderr": 0.03891364495835816
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8245614035087719,
"acc_stderr": 0.029170885500727665,
"acc_norm": 0.8245614035087719,
"acc_norm_stderr": 0.029170885500727665
},
"harness|truthfulqa:mc|0": {
"mc1": 0.4186046511627907,
"mc1_stderr": 0.017270015284476855,
"mc2": 0.5818075900070901,
"mc2_stderr": 0.015361574502931194
},
"harness|winogrande|5": {
"acc": 0.8318863456985004,
"acc_stderr": 0.010510336954166737
},
"harness|gsm8k|5": {
"acc": 0.6770280515542078,
"acc_stderr": 0.012880360794851815
}
}
```
## 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] |
felipedinely/tadeu | felipedinely | "2024-02-04T18:36:58Z" | 33 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-02-04T18:14:59Z" | ---
license: openrail
---
|
nguyenphuthien/ViOpenHermes-2.5 | nguyenphuthien | "2024-05-23T03:38:58Z" | 33 | 1 | [
"task_categories:text-generation",
"language:vi",
"license:mit",
"size_categories:1M<n<10M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"text-generation"
] | "2024-02-04T18:18:51Z" | ---
license: mit
task_categories:
- text-generation
language:
- vi
size_categories:
- 1M<n<10M
--- |
myrtotsok/clf | myrtotsok | "2024-02-06T08:38:02Z" | 33 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T18:22:03Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: request
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 96731
num_examples: 1120
- name: validation
num_bytes: 24176
num_examples: 280
download_size: 27784
dataset_size: 120907
---
## id2label = {
## 0: 'binary visual question answering',
## 1:'search by image',
## 2:'image search by text',
## 3:'geospatial question answering',
## 4:'count objects in image' ,
## 5:'object extraction in image',
## 6:'image segmentation'
## }
---
size_categories:
- 1K<n<10K
task_categories:
- text-classification
dataset_info:
features:
- name: request
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 99611
num_examples: 1120
- name: validation
num_bytes: 24896
num_examples: 280
download_size: 27907
dataset_size: 124507
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
hojzas/proj4-uniq_orig_order-lab1 | hojzas | "2024-02-04T19:06:13Z" | 33 | 0 | [
"license:apache-2.0",
"size_categories:n<1K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T18:56:28Z" | ---
license: apache-2.0
---
|
dhuynh95/Magicoder-Evol-Instruct-10000-CodeLlama-70b-tokenized-0.5-v2 | dhuynh95 | "2024-02-04T19:29:54Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T19:29:53Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 22972759
num_examples: 10000
download_size: 11249692
dataset_size: 22972759
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
zicsx/Wikipedia-Hindi | zicsx | "2024-02-04T23:49:20Z" | 33 | 1 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T23:41:14Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 576464909.5937778
num_examples: 154867
download_size: 216951489
dataset_size: 576464909.5937778
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Wikipedia-Hindi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Maxsinan/minhavoz | Maxsinan | "2024-02-04T23:52:30Z" | 33 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-02-04T23:48:48Z" | ---
license: openrail
---
|
Edopangui/promo_parquet | Edopangui | "2024-02-04T23:50:33Z" | 33 | 0 | [
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T23:49:54Z" | ---
license: apache-2.0
---
|
steven2521/squad_v2_rag_doc | steven2521 | "2024-02-04T23:53:31Z" | 33 | 0 | [
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-04T23:50:14Z" | ---
license: mit
dataset_info:
features:
- name: document
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 131093312
num_examples: 19029
- name: validation
num_bytes: 8375044
num_examples: 1204
download_size: 145719965
dataset_size: 139468356
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-eval-preference | Mitsuki-Sakamoto | "2024-02-05T04:29:42Z" | 33 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T04:29:38Z" | ---
dataset_info:
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: preference
dtype: int64
- name: output_1
dtype: string
- name: output_2
dtype: string
- name: reward_model_prompt_format
dtype: string
- name: gen_prompt_format
dtype: string
- name: gen_kwargs
struct:
- name: do_sample
dtype: bool
- name: max_new_tokens
dtype: int64
- name: pad_token_id
dtype: int64
- name: top_k
dtype: int64
- name: top_p
dtype: float64
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
splits:
- name: val
num_bytes: 2575959
num_examples: 2000
download_size: 1232867
dataset_size: 2575959
configs:
- config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
data_files:
- split: val
path: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500/val-*
---
# Dataset Card for "alpaca_farm-reward-model-deberta-v3-large-v2-re-eval-preference"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
jetaudio/name_hantu | jetaudio | "2024-02-05T05:55:53Z" | 33 | 0 | [
"size_categories:1M<n<10M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T05:55:03Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: scr
dtype: string
- name: trg
dtype: string
splits:
- name: train
num_bytes: 28583889.0
num_examples: 1021281
download_size: 16288768
dataset_size: 28583889.0
---
# Dataset Card for "name_hantu"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
kenilshah35/dictation-test | kenilshah35 | "2024-02-05T06:55:08Z" | 33 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T06:54:19Z" | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
splits:
- name: train
num_bytes: 8894736.0
num_examples: 19
download_size: 4493848
dataset_size: 8894736.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
open-llm-leaderboard-old/details_dddsaty__SOLAR_Merge_Adapter_DPO_Orca | open-llm-leaderboard-old | "2024-02-05T08:51:01Z" | 33 | 0 | [
"region:us"
] | null | "2024-02-05T08:50:36Z" | ---
pretty_name: Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [dddsaty/SOLAR_Merge_Adapter_DPO_Orca](https://huggingface.co/dddsaty/SOLAR_Merge_Adapter_DPO_Orca)\
\ 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_dddsaty__SOLAR_Merge_Adapter_DPO_Orca\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-02-05T08:48:15.938281](https://huggingface.co/datasets/open-llm-leaderboard/details_dddsaty__SOLAR_Merge_Adapter_DPO_Orca/blob/main/results_2024-02-05T08-48-15.938281.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\": 0.6327439375185642,\n\
\ \"acc_stderr\": 0.032443250608216324,\n \"acc_norm\": 0.6355200172658205,\n\
\ \"acc_norm_stderr\": 0.03310341022715256,\n \"mc1\": 0.36107711138310894,\n\
\ \"mc1_stderr\": 0.016814312844836882,\n \"mc2\": 0.51488245253393,\n\
\ \"mc2_stderr\": 0.015188854393420268\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6109215017064846,\n \"acc_stderr\": 0.014247309976045607,\n\
\ \"acc_norm\": 0.6390784982935154,\n \"acc_norm_stderr\": 0.014034761386175452\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6499701254730134,\n\
\ \"acc_stderr\": 0.004760041843651493,\n \"acc_norm\": 0.8458474407488548,\n\
\ \"acc_norm_stderr\": 0.0036035695286784114\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\": 0.562962962962963,\n\
\ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\
\ \"acc_norm_stderr\": 0.04284958639753401\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\
\ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.65,\n\
\ \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.65,\n \
\ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6641509433962264,\n \"acc_stderr\": 0.02906722014664483,\n\
\ \"acc_norm\": 0.6641509433962264,\n \"acc_norm_stderr\": 0.02906722014664483\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7222222222222222,\n\
\ \"acc_stderr\": 0.03745554791462456,\n \"acc_norm\": 0.7222222222222222,\n\
\ \"acc_norm_stderr\": 0.03745554791462456\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.04960449637488584,\n \
\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488584\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n\
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6184971098265896,\n\
\ \"acc_stderr\": 0.03703851193099522,\n \"acc_norm\": 0.6184971098265896,\n\
\ \"acc_norm_stderr\": 0.03703851193099522\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\
\ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\
\ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\
\ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\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\": 0.6,\n \"acc_stderr\": 0.04082482904638628,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.04082482904638628\n },\n\
\ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.41005291005291006,\n\
\ \"acc_stderr\": 0.025331202438944423,\n \"acc_norm\": 0.41005291005291006,\n\
\ \"acc_norm_stderr\": 0.025331202438944423\n },\n \"harness|hendrycksTest-formal_logic|5\"\
: {\n \"acc\": 0.3888888888888889,\n \"acc_stderr\": 0.04360314860077459,\n\
\ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.04360314860077459\n\
\ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.36,\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\": 0.7322580645161291,\n \"acc_stderr\": 0.02518900666021238,\n\
\ \"acc_norm\": 0.7322580645161291,\n \"acc_norm_stderr\": 0.02518900666021238\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.43349753694581283,\n \"acc_stderr\": 0.03486731727419872,\n \"\
acc_norm\": 0.43349753694581283,\n \"acc_norm_stderr\": 0.03486731727419872\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939098,\n \"acc_norm\"\
: 0.63,\n \"acc_norm_stderr\": 0.04852365870939098\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\
\ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.8282828282828283,\n \"acc_stderr\": 0.0268697161874299,\n \"acc_norm\"\
: 0.8282828282828283,\n \"acc_norm_stderr\": 0.0268697161874299\n },\n\
\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \
\ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593566,\n\
\ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593566\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6076923076923076,\n \"acc_stderr\": 0.02475600038213095,\n \
\ \"acc_norm\": 0.6076923076923076,\n \"acc_norm_stderr\": 0.02475600038213095\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3888888888888889,\n \"acc_stderr\": 0.029723278961476664,\n \
\ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.029723278961476664\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.030684737115135353,\n\
\ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.030684737115135353\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.39072847682119205,\n \"acc_stderr\": 0.03983798306659809,\n \"\
acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.03983798306659809\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8165137614678899,\n \"acc_stderr\": 0.016595259710399293,\n \"\
acc_norm\": 0.8165137614678899,\n \"acc_norm_stderr\": 0.016595259710399293\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5648148148148148,\n \"acc_stderr\": 0.033812000056435254,\n \"\
acc_norm\": 0.5648148148148148,\n \"acc_norm_stderr\": 0.033812000056435254\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8725490196078431,\n \"acc_stderr\": 0.02340553048084631,\n \"\
acc_norm\": 0.8725490196078431,\n \"acc_norm_stderr\": 0.02340553048084631\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.810126582278481,\n \"acc_stderr\": 0.02553010046023349,\n \
\ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.02553010046023349\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7085201793721974,\n\
\ \"acc_stderr\": 0.030500283176545847,\n \"acc_norm\": 0.7085201793721974,\n\
\ \"acc_norm_stderr\": 0.030500283176545847\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\":\
\ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228733,\n \"\
acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228733\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\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\
\ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\
\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\
\ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\
\ \"acc_stderr\": 0.021586494001281372,\n \"acc_norm\": 0.8760683760683761,\n\
\ \"acc_norm_stderr\": 0.021586494001281372\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8199233716475096,\n\
\ \"acc_stderr\": 0.013740797258579828,\n \"acc_norm\": 0.8199233716475096,\n\
\ \"acc_norm_stderr\": 0.013740797258579828\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.684971098265896,\n \"acc_stderr\": 0.025009313790069716,\n\
\ \"acc_norm\": 0.684971098265896,\n \"acc_norm_stderr\": 0.025009313790069716\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.35195530726256985,\n\
\ \"acc_stderr\": 0.01597266852368907,\n \"acc_norm\": 0.35195530726256985,\n\
\ \"acc_norm_stderr\": 0.01597266852368907\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.025917806117147158,\n\
\ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.025917806117147158\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\
\ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\
\ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.02456922360046085,\n\
\ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.02456922360046085\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.475177304964539,\n \"acc_stderr\": 0.029790719243829714,\n \
\ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.029790719243829714\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4680573663624511,\n\
\ \"acc_stderr\": 0.012744149704869647,\n \"acc_norm\": 0.4680573663624511,\n\
\ \"acc_norm_stderr\": 0.012744149704869647\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6323529411764706,\n \"acc_stderr\": 0.02928941340940319,\n\
\ \"acc_norm\": 0.6323529411764706,\n \"acc_norm_stderr\": 0.02928941340940319\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6437908496732027,\n \"acc_stderr\": 0.0193733324207245,\n \
\ \"acc_norm\": 0.6437908496732027,\n \"acc_norm_stderr\": 0.0193733324207245\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
\ \"acc_stderr\": 0.044612721759105085,\n \"acc_norm\": 0.6818181818181818,\n\
\ \"acc_norm_stderr\": 0.044612721759105085\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7428571428571429,\n \"acc_stderr\": 0.02797982353874455,\n\
\ \"acc_norm\": 0.7428571428571429,\n \"acc_norm_stderr\": 0.02797982353874455\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
\ \"acc_stderr\": 0.038695433234721015,\n \"acc_norm\": 0.5542168674698795,\n\
\ \"acc_norm_stderr\": 0.038695433234721015\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7953216374269005,\n \"acc_stderr\": 0.03094445977853321,\n\
\ \"acc_norm\": 0.7953216374269005,\n \"acc_norm_stderr\": 0.03094445977853321\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36107711138310894,\n\
\ \"mc1_stderr\": 0.016814312844836882,\n \"mc2\": 0.51488245253393,\n\
\ \"mc2_stderr\": 0.015188854393420268\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8200473559589582,\n \"acc_stderr\": 0.01079646868806868\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5056861258529188,\n \
\ \"acc_stderr\": 0.013771594106283036\n }\n}\n```"
repo_url: https://huggingface.co/dddsaty/SOLAR_Merge_Adapter_DPO_Orca
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_02_05T08_48_15.938281
path:
- '**/details_harness|arc:challenge|25_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|gsm8k|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hellaswag|10_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T08-48-15.938281.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-05T08-48-15.938281.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- '**/details_harness|winogrande|5_2024-02-05T08-48-15.938281.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-02-05T08-48-15.938281.parquet'
- config_name: results
data_files:
- split: 2024_02_05T08_48_15.938281
path:
- results_2024-02-05T08-48-15.938281.parquet
- split: latest
path:
- results_2024-02-05T08-48-15.938281.parquet
---
# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [dddsaty/SOLAR_Merge_Adapter_DPO_Orca](https://huggingface.co/dddsaty/SOLAR_Merge_Adapter_DPO_Orca) 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_dddsaty__SOLAR_Merge_Adapter_DPO_Orca",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-02-05T08:48:15.938281](https://huggingface.co/datasets/open-llm-leaderboard/details_dddsaty__SOLAR_Merge_Adapter_DPO_Orca/blob/main/results_2024-02-05T08-48-15.938281.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": 0.6327439375185642,
"acc_stderr": 0.032443250608216324,
"acc_norm": 0.6355200172658205,
"acc_norm_stderr": 0.03310341022715256,
"mc1": 0.36107711138310894,
"mc1_stderr": 0.016814312844836882,
"mc2": 0.51488245253393,
"mc2_stderr": 0.015188854393420268
},
"harness|arc:challenge|25": {
"acc": 0.6109215017064846,
"acc_stderr": 0.014247309976045607,
"acc_norm": 0.6390784982935154,
"acc_norm_stderr": 0.014034761386175452
},
"harness|hellaswag|10": {
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"acc_stderr": 0.004760041843651493,
"acc_norm": 0.8458474407488548,
"acc_norm_stderr": 0.0036035695286784114
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.29,
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"acc_norm": 0.29,
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},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.562962962962963,
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"acc_norm": 0.562962962962963,
"acc_norm_stderr": 0.04284958639753401
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6907894736842105,
"acc_stderr": 0.037610708698674805,
"acc_norm": 0.6907894736842105,
"acc_norm_stderr": 0.037610708698674805
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.65,
"acc_stderr": 0.0479372485441102,
"acc_norm": 0.65,
"acc_norm_stderr": 0.0479372485441102
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6641509433962264,
"acc_stderr": 0.02906722014664483,
"acc_norm": 0.6641509433962264,
"acc_norm_stderr": 0.02906722014664483
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7222222222222222,
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"acc_norm": 0.7222222222222222,
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},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.42,
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"acc_norm": 0.42,
"acc_norm_stderr": 0.04960449637488584
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.53,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.53,
"acc_norm_stderr": 0.050161355804659205
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.33,
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"acc_norm": 0.33,
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},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6184971098265896,
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"acc_norm": 0.6184971098265896,
"acc_norm_stderr": 0.03703851193099522
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.37254901960784315,
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"acc_norm": 0.37254901960784315,
"acc_norm_stderr": 0.04810840148082635
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.74,
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"acc_norm": 0.74,
"acc_norm_stderr": 0.04408440022768078
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5531914893617021,
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},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.49122807017543857,
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"acc_norm": 0.49122807017543857,
"acc_norm_stderr": 0.04702880432049615
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.6,
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"acc_norm": 0.6,
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},
"harness|hendrycksTest-elementary_mathematics|5": {
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},
"harness|hendrycksTest-formal_logic|5": {
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},
"harness|hendrycksTest-global_facts|5": {
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},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7322580645161291,
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"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.43349753694581283,
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},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.63,
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"acc_norm": 0.63,
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},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7757575757575758,
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},
"harness|hendrycksTest-high_school_geography|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_mathematics|5": {
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},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6638655462184874,
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"acc_norm": 0.6638655462184874,
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},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.39072847682119205,
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"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8165137614678899,
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"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5648148148148148,
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"acc_norm": 0.5648148148148148,
"acc_norm_stderr": 0.033812000056435254
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.8725490196078431,
"acc_stderr": 0.02340553048084631,
"acc_norm": 0.8725490196078431,
"acc_norm_stderr": 0.02340553048084631
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.810126582278481,
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"acc_norm": 0.810126582278481,
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},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.7085201793721974,
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"harness|hendrycksTest-international_law|5": {
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},
"harness|hendrycksTest-jurisprudence|5": {
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},
"harness|hendrycksTest-logical_fallacies|5": {
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"harness|hendrycksTest-machine_learning|5": {
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"acc_norm": 0.4642857142857143,
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},
"harness|hendrycksTest-management|5": {
"acc": 0.7961165048543689,
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},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8760683760683761,
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"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.69,
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"acc_norm": 0.69,
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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": {
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},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7124183006535948,
"acc_stderr": 0.025917806117147158,
"acc_norm": 0.7124183006535948,
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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-professional_law|5": {
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},
"harness|hendrycksTest-professional_medicine|5": {
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},
"harness|hendrycksTest-professional_psychology|5": {
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},
"harness|hendrycksTest-public_relations|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": {
"acc": 0.86,
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"acc_norm": 0.86,
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},
"harness|hendrycksTest-virology|5": {
"acc": 0.5542168674698795,
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"acc_norm": 0.5542168674698795,
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},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.7953216374269005,
"acc_stderr": 0.03094445977853321,
"acc_norm": 0.7953216374269005,
"acc_norm_stderr": 0.03094445977853321
},
"harness|truthfulqa:mc|0": {
"mc1": 0.36107711138310894,
"mc1_stderr": 0.016814312844836882,
"mc2": 0.51488245253393,
"mc2_stderr": 0.015188854393420268
},
"harness|winogrande|5": {
"acc": 0.8200473559589582,
"acc_stderr": 0.01079646868806868
},
"harness|gsm8k|5": {
"acc": 0.5056861258529188,
"acc_stderr": 0.013771594106283036
}
}
```
## 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. -->
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Authors [optional]
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## Dataset Card Contact
[More Information Needed] |
plaguss/test-dataset | plaguss | "2024-02-05T09:27:12Z" | 33 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T09:21:00Z" | ---
dataset_info:
features:
- name: input
dtype: string
- name: generation_model
sequence: string
- name: generation_prompt
list:
list:
- name: content
dtype: string
- name: role
dtype: string
- name: raw_generation_responses
sequence: string
- name: generations
sequence: string
splits:
- name: train
num_bytes: 4270
num_examples: 2
download_size: 16358
dataset_size: 4270
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Atipico1/NQ-colbert | Atipico1 | "2024-02-05T09:55:32Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T09:55:13Z" | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: score
dtype: float64
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 290367640
num_examples: 87925
- name: test
num_bytes: 12000594
num_examples: 3610
download_size: 176894459
dataset_size: 302368234
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
chathuranga-jayanath/selfapr-manipulation-bug-context-10000 | chathuranga-jayanath | "2024-02-05T11:26:58Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-02-05T10:43:31Z" | ---
dataset_info:
features:
- name: fix
dtype: string
- name: ctx
dtype: string
splits:
- name: train
num_bytes: 4622003
num_examples: 8000
- name: validation
num_bytes: 563762
num_examples: 1000
- name: test
num_bytes: 563472
num_examples: 1000
download_size: 2669319
dataset_size: 5749237
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
Arman123/nalog_kz | Arman123 | "2024-02-07T21:13:00Z" | 33 | 0 | [
"task_categories:text-generation",
"language:ru",
"size_categories:1K<n<10K",
"region:us"
] | [
"text-generation"
] | "2024-02-05T10:47:08Z" | ---
task_categories:
- text-generation
language:
- ru
size_categories:
- 1K<n<10K
--- |
evilback/lama | evilback | "2024-02-05T10:59:37Z" | 33 | 0 | [
"license:llama2",
"region:us"
] | null | "2024-02-05T10:59:37Z" | ---
license: llama2
---
|
chathuranga-jayanath/selfapr-manipulation-bug-context-method-10000 | chathuranga-jayanath | "2024-02-05T11:25:52Z" | 33 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
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] | null | "2024-02-05T11:04:52Z" | ---
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|
ibm/Wish-Summarization-Llama | ibm | "2024-02-05T11:06:05Z" | 33 | 0 | [
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---
# Dataset Card for "Wish-Summarization-Llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
kristmh/high_vs_random_min_length_500 | kristmh | "2024-02-05T11:16:28Z" | 33 | 0 | [
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---
# Dataset Card for "high_vs_random_min_length_500"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
chathuranga-jayanath/selfapr-manipulation-bug-error-context-method-10000 | chathuranga-jayanath | "2024-02-05T11:32:24Z" | 33 | 0 | [
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Sai-Manisha/Events-after-feb-2023 | Sai-Manisha | "2024-02-06T09:40:03Z" | 33 | 0 | [
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|
DjSteker/el_quijote | DjSteker | "2024-02-05T13:52:50Z" | 33 | 0 | [
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|
DragosGorduza/dataset_QUERY_FAQ_MISTRAL_TRAIN | DragosGorduza | "2024-02-05T13:55:23Z" | 33 | 0 | [
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|
yiyic/clirmatrix | yiyic | "2024-02-05T14:19:16Z" | 33 | 0 | [
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|
yiyic/eval_clir_mtg | yiyic | "2024-02-05T14:52:14Z" | 33 | 0 | [
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|
tyzhu/lmind_nq_train10000_eval6489_v1_qa | tyzhu | "2024-02-05T14:57:26Z" | 33 | 0 | [
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---
# Dataset Card for "lmind_nq_train10000_eval6489_v1_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
chathuranga-jayanath/selfapr-manipulation-bug-error-context-rest-10000 | chathuranga-jayanath | "2024-02-05T16:12:57Z" | 33 | 0 | [
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|
stefania-radu/rendered_wikipedia_rw | stefania-radu | "2024-02-05T16:30:38Z" | 33 | 0 | [
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|
CyberHarem/megumin_konosuba | CyberHarem | "2024-02-05T17:30:09Z" | 33 | 0 | [
"task_categories:text-to-image",
"license:mit",
"size_categories:1K<n<10K",
"library:datasets",
"library:mlcroissant",
"region:us",
"art",
"not-for-all-audiences"
] | [
"text-to-image"
] | "2024-02-05T16:35:55Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of megumin/めぐみん (Kono Subarashii Sekai ni Shukufuku wo!)
This is the dataset of megumin/めぐみん (Kono Subarashii Sekai ni Shukufuku wo!), containing 450 images and their tags.
The core tags of this character are `short_hair, brown_hair, red_eyes, hat, witch_hat, black_hair`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 450 | 430.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/megumin_konosuba/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 450 | 323.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/megumin_konosuba/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 844 | 566.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/megumin_konosuba/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 450 | 430.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/megumin_konosuba/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 844 | 722.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/megumin_konosuba/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/megumin_konosuba',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 10 |  |  |  |  |  | 1girl, anime_coloring, solo, cape, parody, closed_mouth, bangs |
| 1 | 6 |  |  |  |  |  | 1girl, holding_staff, red_dress, short_hair_with_long_locks, solo, black_cape, black_gloves, collarbone, fingerless_gloves, looking_at_viewer, bangs, upper_body, anime_coloring, black_choker, sidelocks |
| 2 | 25 |  |  |  |  |  | 1girl, cape, red_dress, short_hair_with_long_locks, fingerless_gloves, solo, belt, black_gloves, holding_staff, choker, collar |
| 3 | 38 |  |  |  |  |  | bandaged_leg, belt, black_thighhighs, fingerless_gloves, red_dress, 1girl, single_thighhigh, cape, short_hair_with_long_locks, solo, black_gloves, mismatched_legwear, looking_at_viewer, holding_staff |
| 4 | 5 |  |  |  |  |  | 1girl, bangs, bare_shoulders, black_choker, collarbone, fingerless_gloves, red_dress, short_hair_with_long_locks, sidelocks, solo, upper_body, black_gloves, off_shoulder, indoors, anime_coloring, chair, open_mouth, sweatdrop |
| 5 | 5 |  |  |  |  |  | 1girl, anime_coloring, clenched_teeth, solo, bangs, black_choker, cape, collar, parody |
| 6 | 6 |  |  |  |  |  | 1girl, anime_coloring, bare_shoulders, choker, collar, parody, short_hair_with_long_locks, solo, open_mouth |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | anime_coloring | solo | cape | parody | closed_mouth | bangs | holding_staff | red_dress | short_hair_with_long_locks | black_cape | black_gloves | collarbone | fingerless_gloves | looking_at_viewer | upper_body | black_choker | sidelocks | belt | choker | collar | bandaged_leg | black_thighhighs | single_thighhigh | mismatched_legwear | bare_shoulders | off_shoulder | indoors | chair | open_mouth | sweatdrop | clenched_teeth |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-------|:-------|:---------|:---------------|:--------|:----------------|:------------|:-----------------------------|:-------------|:---------------|:-------------|:--------------------|:--------------------|:-------------|:---------------|:------------|:-------|:---------|:---------|:---------------|:-------------------|:-------------------|:---------------------|:-----------------|:---------------|:----------|:--------|:-------------|:------------|:-----------------|
| 0 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | X | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
| 2 | 25 |  |  |  |  |  | X | | X | X | | | | X | X | X | | X | | X | | | | | X | X | X | | | | | | | | | | | |
| 3 | 38 |  |  |  |  |  | X | | X | X | | | | X | X | X | | X | | X | X | | | | X | | | X | X | X | X | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | X | | | | X | | X | X | | X | X | X | | X | X | X | | | | | | | | X | X | X | X | X | X | |
| 5 | 5 |  |  |  |  |  | X | X | X | X | X | | X | | | | | | | | | | X | | | | X | | | | | | | | | | | X |
| 6 | 6 |  |  |  |  |  | X | X | X | | X | | | | | X | | | | | | | | | | X | X | | | | | X | | | | X | | |
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chathuranga-jayanath/selfapr-manipulation-bug-error-context-variables-10000 | chathuranga-jayanath | "2024-02-05T16:43:12Z" | 33 | 0 | [
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PBWR/Building3D | PBWR | "2024-02-05T16:51:52Z" | 33 | 0 | [
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---
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Thanmay/arc-easy-mr | Thanmay | "2024-02-11T08:50:41Z" | 33 | 0 | [
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Thanmay/arc-easy-ta | Thanmay | "2024-02-11T18:42:50Z" | 33 | 0 | [
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micsell/hebrew_kan_sentence0 | micsell | "2024-02-05T23:19:59Z" | 33 | 0 | [
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Thanmay/arc-challenge-mr | Thanmay | "2024-02-11T08:37:28Z" | 33 | 0 | [
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BubbleJoe/sms_generated_mistral_v01 | BubbleJoe | "2024-02-05T18:57:54Z" | 33 | 1 | [
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MRQA Loaded without SearchQA ! -> Size : 450309
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parhasard/eir-alpaca-type | parhasard | "2024-02-05T22:31:46Z" | 33 | 0 | [
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---
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modelloosrvcc/Announcer | modelloosrvcc | "2024-02-05T22:36:56Z" | 33 | 0 | [
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---
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Charles333/demo_json | Charles333 | "2024-02-06T10:09:08Z" | 33 | 0 | [
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license: apache-2.0
---
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FINNUMBER/FINCH_TEST_FULL | FINNUMBER | "2024-02-06T02:31:45Z" | 33 | 0 | [
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---
# Dataset Card for "FINCH_TEST"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
hoangvanvietanh/user_5476d2c924204b6f9e38713118fdb9b2_dataset | hoangvanvietanh | "2024-02-07T06:30:36Z" | 33 | 0 | [
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Jeovane/minhavozmr2 | Jeovane | "2024-02-06T02:50:17Z" | 33 | 0 | [
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micsell/hebrew_kan_sentence30000 | micsell | "2024-02-06T03:27:46Z" | 33 | 0 | [
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ZiHDeng/hf-ny8-v6 | ZiHDeng | "2024-02-07T03:48:14Z" | 33 | 0 | [
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micsell/hebrew_kan_sentence40000 | micsell | "2024-02-06T04:51:18Z" | 33 | 0 | [
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yzhuang/metatree_mfeat_fourier | yzhuang | "2024-02-06T05:54:46Z" | 33 | 0 | [
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# Dataset Card for "metatree_mfeat_fourier"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_mfeat_karhunen | yzhuang | "2024-02-06T05:55:32Z" | 33 | 0 | [
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# Dataset Card for "metatree_mfeat_karhunen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_RandomRBF_0_0 | yzhuang | "2024-02-06T05:58:00Z" | 33 | 0 | [
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# Dataset Card for "metatree_RandomRBF_0_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_RandomRBF_10_1E_4 | yzhuang | "2024-02-06T05:59:05Z" | 33 | 0 | [
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# Dataset Card for "metatree_RandomRBF_10_1E_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_BNG_breast_w_ | yzhuang | "2024-02-06T06:00:54Z" | 33 | 0 | [
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---
# Dataset Card for "metatree_BNG_breast_w_"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_BNG_colic_ | yzhuang | "2024-02-06T06:03:49Z" | 33 | 0 | [
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---
# Dataset Card for "metatree_BNG_colic_"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_BNG_page_blocks_ | yzhuang | "2024-02-06T06:04:34Z" | 33 | 0 | [
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# Dataset Card for "metatree_BNG_page_blocks_"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_BNG_waveform_5000_ | yzhuang | "2024-02-06T06:09:39Z" | 33 | 0 | [
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# Dataset Card for "metatree_BNG_waveform_5000_"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fri_c4_1000_100 | yzhuang | "2024-02-06T06:16:34Z" | 33 | 0 | [
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# Dataset Card for "metatree_fri_c4_1000_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_cpu_small | yzhuang | "2024-02-06T06:18:16Z" | 33 | 0 | [
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# Dataset Card for "metatree_cpu_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_space_ga | yzhuang | "2024-02-06T06:18:32Z" | 33 | 0 | [
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# Dataset Card for "metatree_space_ga"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fri_c3_1000_5 | yzhuang | "2024-02-06T06:21:42Z" | 33 | 0 | [
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# Dataset Card for "metatree_fri_c3_1000_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_puma8NH | yzhuang | "2024-02-06T06:21:58Z" | 33 | 0 | [
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# Dataset Card for "metatree_puma8NH"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fri_c0_1000_10 | yzhuang | "2024-02-06T06:23:35Z" | 33 | 0 | [
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# Dataset Card for "metatree_fri_c0_1000_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fri_c0_1000_25 | yzhuang | "2024-02-06T06:24:22Z" | 33 | 0 | [
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# Dataset Card for "metatree_fri_c0_1000_25"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fried | yzhuang | "2024-02-06T06:25:27Z" | 33 | 0 | [
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---
# Dataset Card for "metatree_fried"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_fri_c2_1000_10 | yzhuang | "2024-02-06T06:26:43Z" | 33 | 0 | [
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# Dataset Card for "metatree_fri_c2_1000_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_socmob | yzhuang | "2024-02-06T06:27:29Z" | 33 | 0 | [
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# Dataset Card for "metatree_socmob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yzhuang/metatree_pc1 | yzhuang | "2024-02-06T06:28:17Z" | 33 | 0 | [
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# Dataset Card for "metatree_pc1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Sangjeong/TestData | Sangjeong | "2024-02-06T08:09:46Z" | 33 | 0 | [
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license: apache-2.0
---
|
gokulraj/demo-dataset | gokulraj | "2024-02-06T07:17:46Z" | 33 | 0 | [
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micsell/hebrew_kan_sentence60000 | micsell | "2024-02-06T07:35:01Z" | 33 | 0 | [
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|
kristmh/high_vs_random_min_len_1000 | kristmh | "2024-02-06T07:49:16Z" | 33 | 0 | [
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configs:
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# Dataset Card for "high_vs_random_min_len_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
bahar125/test12 | bahar125 | "2024-02-06T09:32:36Z" | 33 | 0 | [
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|
jan-hq/finance_alpaca_binarized | jan-hq | "2024-02-06T09:48:28Z" | 33 | 1 | [
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micsell/hebrew_kan_sentence80000 | micsell | "2024-02-06T11:08:02Z" | 33 | 0 | [
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heroza/isic_dummy | heroza | "2024-02-06T11:16:49Z" | 33 | 0 | [
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|
gizemgg/wiki-eng-summary-trial | gizemgg | "2024-02-06T11:46:07Z" | 33 | 0 | [
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micsell/hebrew_kan_sentence90000 | micsell | "2024-02-06T12:30:29Z" | 33 | 0 | [
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|
PRACADACERA/Drago | PRACADACERA | "2024-02-06T12:56:01Z" | 33 | 0 | [
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] | null | "2024-02-06T12:54:14Z" | ---
license: openrail
---
|
mertllc/test | mertllc | "2024-02-06T13:05:55Z" | 33 | 0 | [
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|
breno30/LocutorLindomarTop | breno30 | "2024-02-06T13:11:13Z" | 33 | 0 | [
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] | null | "2024-02-06T13:10:47Z" | ---
license: openrail
---
|