id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
norashameri97/tmp-translation | 2023-08-24T10:23:50.000Z | [
"region:us"
] | norashameri97 | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: arabic
dtype: string
splits:
- name: train
num_bytes: 27
num_examples: 1
- name: test
num_bytes: 23
num_examples: 1
download_size: 1764
dataset_size: 50
---
# Dataset Card for "tmp-translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
AnuraSet/AnuraSet_v2.0.0 | 2023-08-24T16:35:20.000Z | [
"license:mit",
"region:us"
] | AnuraSet | null | null | null | 0 | 0 | ---
license: mit
---
|
waliiid/rida | 2023-08-24T14:38:35.000Z | [
"region:us"
] | waliiid | null | null | null | 0 | 0 | sssssss
sssss
ssssssssssssssss
sssssssssssssssssssssssss
sssssssssssssssssssssss |
w8ay/security-tools-datasets | 2023-08-24T10:54:24.000Z | [
"region:us"
] | w8ay | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: language
dtype: string
- name: filename
dtype: string
- name: code
dtype: string
splits:
- name: train
num_bytes: 726022636
num_examples: 66619
download_size: 235041442
dataset_size: 726022636
---
# Dataset Card for "security-tools-datasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
prognosis/guidelines_medqa_qa_v1 | 2023-08-25T05:19:46.000Z | [
"region:us"
] | prognosis | null | null | null | 0 | 0 | Entry not found |
suanlixianren/xiaoyuan | 2023-08-24T11:03:57.000Z | [
"region:us"
] | suanlixianren | null | null | null | 0 | 0 | Entry not found |
chriswmurphy/esperanto | 2023-08-24T11:14:21.000Z | [
"region:us"
] | chriswmurphy | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 722828315
num_examples: 4574372
download_size: 473036878
dataset_size: 722828315
---
# Dataset Card for "esperanto"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
open-llm-leaderboard/details_WizardLM__WizardMath-7B-V1.0 | 2023-08-27T12:42:21.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | null | 0 | 0 | ---
pretty_name: Evaluation run of WizardLM/WizardMath-7B-V1.0
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [WizardLM/WizardMath-7B-V1.0](https://huggingface.co/WizardLM/WizardMath-7B-V1.0)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 61 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 agregated 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_WizardLM__WizardMath-7B-V1.0\"\
,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
\nThese are the [latest results from run 2023-08-24T11:16:21.323731](https://huggingface.co/datasets/open-llm-leaderboard/details_WizardLM__WizardMath-7B-V1.0/blob/main/results_2023-08-24T11%3A16%3A21.323731.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\": 0.46306226824738017,\n\
\ \"acc_stderr\": 0.03523592896355638,\n \"acc_norm\": 0.46677069643550023,\n\
\ \"acc_norm_stderr\": 0.03522085044725912,\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.43654057418011644,\n\
\ \"mc2_stderr\": 0.015400503967177707\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.507679180887372,\n \"acc_stderr\": 0.01460966744089257,\n\
\ \"acc_norm\": 0.5409556313993175,\n \"acc_norm_stderr\": 0.01456229107360123\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6099382593108943,\n\
\ \"acc_stderr\": 0.004867670042866693,\n \"acc_norm\": 0.7954590718980283,\n\
\ \"acc_norm_stderr\": 0.0040254139486194\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\": 0.42962962962962964,\n\
\ \"acc_stderr\": 0.04276349494376599,\n \"acc_norm\": 0.42962962962962964,\n\
\ \"acc_norm_stderr\": 0.04276349494376599\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.4473684210526316,\n \"acc_stderr\": 0.04046336883978251,\n\
\ \"acc_norm\": 0.4473684210526316,\n \"acc_norm_stderr\": 0.04046336883978251\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.47,\n\
\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.47,\n \
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.4641509433962264,\n \"acc_stderr\": 0.030693675018458003,\n\
\ \"acc_norm\": 0.4641509433962264,\n \"acc_norm_stderr\": 0.030693675018458003\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4166666666666667,\n\
\ \"acc_stderr\": 0.04122728707651282,\n \"acc_norm\": 0.4166666666666667,\n\
\ \"acc_norm_stderr\": 0.04122728707651282\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n\
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952344,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952344\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3815028901734104,\n\
\ \"acc_stderr\": 0.0370385119309952,\n \"acc_norm\": 0.3815028901734104,\n\
\ \"acc_norm_stderr\": 0.0370385119309952\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n\
\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.3574468085106383,\n \"acc_stderr\": 0.03132941789476425,\n\
\ \"acc_norm\": 0.3574468085106383,\n \"acc_norm_stderr\": 0.03132941789476425\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\
\ \"acc_stderr\": 0.042270544512322004,\n \"acc_norm\": 0.2807017543859649,\n\
\ \"acc_norm_stderr\": 0.042270544512322004\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.46206896551724136,\n \"acc_stderr\": 0.041546596717075474,\n\
\ \"acc_norm\": 0.46206896551724136,\n \"acc_norm_stderr\": 0.041546596717075474\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2777777777777778,\n \"acc_stderr\": 0.023068188848261124,\n \"\
acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.023068188848261124\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.31746031746031744,\n\
\ \"acc_stderr\": 0.04163453031302859,\n \"acc_norm\": 0.31746031746031744,\n\
\ \"acc_norm_stderr\": 0.04163453031302859\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.4774193548387097,\n\
\ \"acc_stderr\": 0.02841498501970786,\n \"acc_norm\": 0.4774193548387097,\n\
\ \"acc_norm_stderr\": 0.02841498501970786\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.33004926108374383,\n \"acc_stderr\": 0.03308530426228258,\n\
\ \"acc_norm\": 0.33004926108374383,\n \"acc_norm_stderr\": 0.03308530426228258\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \"acc_norm\"\
: 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.593939393939394,\n \"acc_stderr\": 0.03834816355401181,\n\
\ \"acc_norm\": 0.593939393939394,\n \"acc_norm_stderr\": 0.03834816355401181\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.5404040404040404,\n \"acc_stderr\": 0.035507024651313425,\n \"\
acc_norm\": 0.5404040404040404,\n \"acc_norm_stderr\": 0.035507024651313425\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.6787564766839378,\n \"acc_stderr\": 0.033699508685490674,\n\
\ \"acc_norm\": 0.6787564766839378,\n \"acc_norm_stderr\": 0.033699508685490674\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4256410256410256,\n \"acc_stderr\": 0.025069094387296535,\n\
\ \"acc_norm\": 0.4256410256410256,\n \"acc_norm_stderr\": 0.025069094387296535\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \
\ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42436974789915966,\n \"acc_stderr\": 0.03210479051015776,\n\
\ \"acc_norm\": 0.42436974789915966,\n \"acc_norm_stderr\": 0.03210479051015776\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.618348623853211,\n \"acc_stderr\": 0.02082814851702259,\n \"acc_norm\"\
: 0.618348623853211,\n \"acc_norm_stderr\": 0.02082814851702259\n },\n\
\ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.25925925925925924,\n\
\ \"acc_stderr\": 0.02988691054762696,\n \"acc_norm\": 0.25925925925925924,\n\
\ \"acc_norm_stderr\": 0.02988691054762696\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.5441176470588235,\n \"acc_stderr\": 0.034956245220154766,\n\
\ \"acc_norm\": 0.5441176470588235,\n \"acc_norm_stderr\": 0.034956245220154766\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6329113924050633,\n \"acc_stderr\": 0.031376240725616185,\n \
\ \"acc_norm\": 0.6329113924050633,\n \"acc_norm_stderr\": 0.031376240725616185\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.547085201793722,\n\
\ \"acc_stderr\": 0.03340867501923324,\n \"acc_norm\": 0.547085201793722,\n\
\ \"acc_norm_stderr\": 0.03340867501923324\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.04348208051644858,\n\
\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.04348208051644858\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6198347107438017,\n \"acc_stderr\": 0.04431324501968432,\n \"\
acc_norm\": 0.6198347107438017,\n \"acc_norm_stderr\": 0.04431324501968432\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5555555555555556,\n\
\ \"acc_stderr\": 0.04803752235190193,\n \"acc_norm\": 0.5555555555555556,\n\
\ \"acc_norm_stderr\": 0.04803752235190193\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.4662576687116564,\n \"acc_stderr\": 0.039194155450484096,\n\
\ \"acc_norm\": 0.4662576687116564,\n \"acc_norm_stderr\": 0.039194155450484096\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\
\ \"acc_stderr\": 0.0457237235873743,\n \"acc_norm\": 0.36607142857142855,\n\
\ \"acc_norm_stderr\": 0.0457237235873743\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6213592233009708,\n \"acc_stderr\": 0.048026946982589726,\n\
\ \"acc_norm\": 0.6213592233009708,\n \"acc_norm_stderr\": 0.048026946982589726\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6923076923076923,\n\
\ \"acc_stderr\": 0.03023638994217309,\n \"acc_norm\": 0.6923076923076923,\n\
\ \"acc_norm_stderr\": 0.03023638994217309\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6334610472541508,\n\
\ \"acc_stderr\": 0.017231244626797034,\n \"acc_norm\": 0.6334610472541508,\n\
\ \"acc_norm_stderr\": 0.017231244626797034\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.47398843930635837,\n \"acc_stderr\": 0.02688264343402289,\n\
\ \"acc_norm\": 0.47398843930635837,\n \"acc_norm_stderr\": 0.02688264343402289\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2547486033519553,\n\
\ \"acc_stderr\": 0.014572650383409155,\n \"acc_norm\": 0.2547486033519553,\n\
\ \"acc_norm_stderr\": 0.014572650383409155\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5196078431372549,\n \"acc_stderr\": 0.028607893699576066,\n\
\ \"acc_norm\": 0.5196078431372549,\n \"acc_norm_stderr\": 0.028607893699576066\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5691318327974276,\n\
\ \"acc_stderr\": 0.028125340983972714,\n \"acc_norm\": 0.5691318327974276,\n\
\ \"acc_norm_stderr\": 0.028125340983972714\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5030864197530864,\n \"acc_stderr\": 0.02782021415859437,\n\
\ \"acc_norm\": 0.5030864197530864,\n \"acc_norm_stderr\": 0.02782021415859437\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.35815602836879434,\n \"acc_stderr\": 0.02860208586275942,\n \
\ \"acc_norm\": 0.35815602836879434,\n \"acc_norm_stderr\": 0.02860208586275942\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3376792698826597,\n\
\ \"acc_stderr\": 0.01207856377714556,\n \"acc_norm\": 0.3376792698826597,\n\
\ \"acc_norm_stderr\": 0.01207856377714556\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.030290619180485694,\n\
\ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.030290619180485694\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.44281045751633985,\n \"acc_stderr\": 0.02009508315457735,\n \
\ \"acc_norm\": 0.44281045751633985,\n \"acc_norm_stderr\": 0.02009508315457735\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.42448979591836733,\n \"acc_stderr\": 0.031642094879429414,\n\
\ \"acc_norm\": 0.42448979591836733,\n \"acc_norm_stderr\": 0.031642094879429414\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6766169154228856,\n\
\ \"acc_stderr\": 0.033076159479790326,\n \"acc_norm\": 0.6766169154228856,\n\
\ \"acc_norm_stderr\": 0.033076159479790326\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \
\ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\
\ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\
\ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.6432748538011696,\n \"acc_stderr\": 0.03674013002860954,\n\
\ \"acc_norm\": 0.6432748538011696,\n \"acc_norm_stderr\": 0.03674013002860954\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.43654057418011644,\n\
\ \"mc2_stderr\": 0.015400503967177707\n }\n}\n```"
repo_url: https://huggingface.co/WizardLM/WizardMath-7B-V1.0
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: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|arc:challenge|25_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hellaswag|10_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-24T11:16:21.323731.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T11:16:21.323731.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-24T11:16:21.323731.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-24T11:16:21.323731.parquet'
- config_name: results
data_files:
- split: 2023_08_24T11_16_21.323731
path:
- results_2023-08-24T11:16:21.323731.parquet
- split: latest
path:
- results_2023-08-24T11:16:21.323731.parquet
---
# Dataset Card for Evaluation run of WizardLM/WizardMath-7B-V1.0
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/WizardLM/WizardMath-7B-V1.0
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [WizardLM/WizardMath-7B-V1.0](https://huggingface.co/WizardLM/WizardMath-7B-V1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 61 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 agregated 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_WizardLM__WizardMath-7B-V1.0",
"harness_truthfulqa_mc_0",
split="train")
```
## Latest results
These are the [latest results from run 2023-08-24T11:16:21.323731](https://huggingface.co/datasets/open-llm-leaderboard/details_WizardLM__WizardMath-7B-V1.0/blob/main/results_2023-08-24T11%3A16%3A21.323731.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": 0.46306226824738017,
"acc_stderr": 0.03523592896355638,
"acc_norm": 0.46677069643550023,
"acc_norm_stderr": 0.03522085044725912,
"mc1": 0.30354957160342716,
"mc1_stderr": 0.016095884155386847,
"mc2": 0.43654057418011644,
"mc2_stderr": 0.015400503967177707
},
"harness|arc:challenge|25": {
"acc": 0.507679180887372,
"acc_stderr": 0.01460966744089257,
"acc_norm": 0.5409556313993175,
"acc_norm_stderr": 0.01456229107360123
},
"harness|hellaswag|10": {
"acc": 0.6099382593108943,
"acc_stderr": 0.004867670042866693,
"acc_norm": 0.7954590718980283,
"acc_norm_stderr": 0.0040254139486194
},
"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": 0.42962962962962964,
"acc_stderr": 0.04276349494376599,
"acc_norm": 0.42962962962962964,
"acc_norm_stderr": 0.04276349494376599
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.4473684210526316,
"acc_stderr": 0.04046336883978251,
"acc_norm": 0.4473684210526316,
"acc_norm_stderr": 0.04046336883978251
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.47,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.47,
"acc_norm_stderr": 0.05016135580465919
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.4641509433962264,
"acc_stderr": 0.030693675018458003,
"acc_norm": 0.4641509433962264,
"acc_norm_stderr": 0.030693675018458003
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.4166666666666667,
"acc_stderr": 0.04122728707651282,
"acc_norm": 0.4166666666666667,
"acc_norm_stderr": 0.04122728707651282
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252604,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252604
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.34,
"acc_stderr": 0.047609522856952344,
"acc_norm": 0.34,
"acc_norm_stderr": 0.047609522856952344
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.3815028901734104,
"acc_stderr": 0.0370385119309952,
"acc_norm": 0.3815028901734104,
"acc_norm_stderr": 0.0370385119309952
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.041583075330832865,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.041583075330832865
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.3574468085106383,
"acc_stderr": 0.03132941789476425,
"acc_norm": 0.3574468085106383,
"acc_norm_stderr": 0.03132941789476425
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.2807017543859649,
"acc_stderr": 0.042270544512322004,
"acc_norm": 0.2807017543859649,
"acc_norm_stderr": 0.042270544512322004
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.46206896551724136,
"acc_stderr": 0.041546596717075474,
"acc_norm": 0.46206896551724136,
"acc_norm_stderr": 0.041546596717075474
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.023068188848261124,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.023068188848261124
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.31746031746031744,
"acc_stderr": 0.04163453031302859,
"acc_norm": 0.31746031746031744,
"acc_norm_stderr": 0.04163453031302859
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.4774193548387097,
"acc_stderr": 0.02841498501970786,
"acc_norm": 0.4774193548387097,
"acc_norm_stderr": 0.02841498501970786
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.33004926108374383,
"acc_stderr": 0.03308530426228258,
"acc_norm": 0.33004926108374383,
"acc_norm_stderr": 0.03308530426228258
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.593939393939394,
"acc_stderr": 0.03834816355401181,
"acc_norm": 0.593939393939394,
"acc_norm_stderr": 0.03834816355401181
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.5404040404040404,
"acc_stderr": 0.035507024651313425,
"acc_norm": 0.5404040404040404,
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},
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}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
Bayees/ForParser | 2023-08-24T11:27:22.000Z | [
"region:us"
] | Bayees | null | null | null | 0 | 0 | Entry not found |
ahmaddhani/slotTtT | 2023-08-24T11:33:28.000Z | [
"region:us"
] | ahmaddhani | null | null | null | 0 | 0 | Entry not found |
a-moron/history-pw | 2023-08-24T11:34:44.000Z | [
"region:us"
] | a-moron | null | null | null | 0 | 0 | Entry not found |
judithailand/GhatoOoOT | 2023-08-24T11:41:47.000Z | [
"region:us"
] | judithailand | null | null | null | 0 | 0 | Entry not found |
riansabeni/sueEeEbnih | 2023-08-24T11:51:02.000Z | [
"region:us"
] | riansabeni | null | null | null | 0 | 0 | Entry not found |
shahabprince/Iranian_Vehicel_plates | 2023-08-24T11:50:17.000Z | [
"license:openrail",
"region:us"
] | shahabprince | null | null | null | 0 | 0 | ---
license: openrail
---
|
gwj/babala | 2023-08-24T12:29:13.000Z | [
"region:us"
] | gwj | null | null | null | 0 | 0 | Entry not found |
sw882882/kmeaned_openplatypus | 2023-08-26T16:17:50.000Z | [
"region:us"
] | sw882882 | null | null | null | 0 | 0 | Entry not found |
a-moron/thucydides | 2023-08-24T12:31:12.000Z | [
"region:us"
] | a-moron | null | null | null | 0 | 0 | Entry not found |
kotzeje/tokenized_lamini_docs | 2023-08-24T12:50:03.000Z | [
"region:us"
] | kotzeje | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 1846734.3
num_examples: 1260
- name: test
num_bytes: 205192.7
num_examples: 140
download_size: 695218
dataset_size: 2051927.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "tokenizes_lamini_docs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
arthronolreview/Arthronol-Joint-Support-Complex | 2023-08-24T12:55:20.000Z | [
"region:us"
] | arthronolreview | null | null | null | 0 | 0 | <h2 style="text-align: center;"><a href="https://sale365day.com/get-arthronol"><span style="color: #003300;">Click Here -- Official Website -- Order Now</span></a></h2>
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<p class="articleHeading mb-0">Arthronol Reviews - Read this real review from the customer all about ingredients and complaints. It will help you to buy Arthronol supplement. Read this full review before you decide to order.</p>
<p style="text-align: justify;">As stated earlier, <a href="https://arthronol-joint-support-complex-official.jimdosite.com/"><strong>Arthronol</strong></a> is a natural joint health supplement created to improve joint mobility, reduce stiffness and alleviate joint discomfort. It is manufactured by N-Labs, a reputable company in the dietary supplement industry. </p>
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<p style="text-align: justify;">N-Labs claims that Arthronol is the first "full-spectrum" joint health supplement to address the underlying causes of joint pain and limited joint mobility. N-Labs claims that by taking just one tablet of their powerful solution a day, you will reduce discomfort, increase mobility and the ability to once again enjoy your favourite pastimes without restrictions.</p>
<p style="text-align: justify;">The best part is that <a href="https://yourpillsboss.blogspot.com/2023/08/arthronol-joint-support-complex.html"><strong>Arthronol</strong></a> is designed to be effective for everyone, regardless of gender, age or physical characteristics. Whether you're a woman in your 30s or a man in your 60s, Arthronol has the ingredients you need to relieve joint pain. </p>
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<p style="text-align: justify;"><strong>What is the mechanism of Arthronol for Joint Pain?</strong></p>
<p style="text-align: justify;"><a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/uEQCcduo1-Q"><strong>Arthronol</strong></a> asserts that "bone-to-bone" contact due to cartilage wear is not the primary cause of joint discomfort. Instead, it is the body's response to normal wear and tear that is the real underlying cause of joint discomfort. This is because cartilage is gradually broken down into small pieces, which "break out" of the joint and into your body. This cartilage is recognized and attacked by your immune system, causing joint discomfort and inflammation.</p>
<p style="text-align: justify;">Unfortunately, once this process begins, cartilage begins to break down and your body begins to fight it, leading to more inflammation. Your joint discomfort will only get worse if you don't break the mold. Fortunately, <a href="https://arthronol-joint-support-complex.hashnode.dev/arthronol-joint-support-complex-2023-truth-behind-customer-reviews-and-testimonials-busted">Arthronol</a> contains ingredients that can break this loop and stop your immune system from reacting. <a href="https://devfolio.co/@arthronolreview">Arthronol</a> helps your body repair damaged cartilage instead of attacking it, helping to stop the cycle of pain and arthritis worsening.</p>
<p style="text-align: justify;">Second, <a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/C7SzjvNEmEs"><strong>Arthronol</strong></a> promotes joint lubrication, which is how it works. Your joints swell and compress when you move. Move easier when your joints are well lubricated because less friction leads to less discomfort and less joint damage. Without joint lubricant, your bones will rub against each other, causing an inflammatory response in the body that causes joint discomfort. Finally, <a href="https://vocal.media/stories/arthronol-joint-support-complex-100-trusted-most-shocking-truth-exposed">Arthronol</a> promotes cartilage healing. Collagen, an important nutrient for joint strength and integrity, is provided. Improved mobility and reduced joint discomfort are two additional benefits of injured cartilage healing.</p>
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<p style="text-align: justify;"><strong>What are the natural ingredients in Arthronol?</strong></p>
<ul style="text-align: justify;">
<li><strong>MSM:</strong></li>
</ul>
<p style="text-align: justify;">This ingredient has been included to relieve sporadic pain. According to research, this substance can help you recover faster after a workout in addition to reducing pain and discomfort. It is also needed for its calming effects. Review <a href="https://arthronoljointsupportcomplex.godaddysites.com/">Arthronol</a> helps send signals to joints to speed healing and recovery.</p>
<ul style="text-align: justify;">
<li><strong>Hyaluronic Acid:</strong></li>
</ul>
<p style="text-align: justify;">Your joint lubricant depends on this acid to stay intact. According to studies, HA helps joints move without discomfort by supporting joint cushioning. According to research, this substance is most effective in maintaining joint health and reducing joint pain.</p>
<ul style="text-align: justify;">
<li><strong>Boswellia Serrata Extract:</strong></li>
</ul>
<p style="text-align: justify;">The resin from the bark of the Boswellia serrata tree is used to make Boswellia Serrata products. This substance, sometimes called Indian frankincense, has a number of beneficial qualities that help relieve joint pain and stiffness. To speed joint healing, it is often taken to improve circulation.</p>
<ul style="text-align: justify;">
<li><strong>White willow bark:</strong></li>
</ul>
<p style="text-align: justify;">You can reduce pain and suffering through the use of this substance. According to studies, the majority of individuals have seen relief from occasional joint pain and stiffness by ingesting this ingredient on a regular basis.</p>
<ul style="text-align: justify;">
<li><strong>Collagen type 2 or collagen N2:</strong></li>
</ul>
<p style="text-align: justify;">This ingredient was developed using unique biomedical technology to effectively maintain your joint health while providing you with the benefits of collagen. It is necessary for the formation and renewal of bone cells. In addition, it increases the flexibility and density of bones.</p>
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<p style="text-align: justify;"><strong>Arthronol Untold Hidden Benefits:</strong></p>
<ul style="text-align: justify;">
<li><strong>General leak prevention:</strong> <a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/uEQCcduo1-Q">Arthronol</a> treats bone related problems and boosts collagen to help prevent joint leaks. Leaky joints, which cause friction between bones and create clicking noises during movement, are one of the major problems faced by the elderly. It occurs when the cartilage is deformed for some reason or when there is less synovial fluid in the bone. The loss of synovial fluid is caused by a number of diseases and medical conditions. Inflammation from a persistent bacterial infection can deplete synovial fluid. Arthronol protects the body against viral or bacterial diseases.<br /><br /></li>
<li><strong>Improve immune cells:</strong> The formula includes a powerful soothing protein that helps keep the body healthy and disease-free. An autoimmune disease is a medical disorder that affects the body. The bone cells in the joint begin to become targeted and destroyed by the body's own cells when this happens. The body must be protected from any foreign invaders or infections by immune cells and Defense mechanisms. In this situation, the immune system begins to attack and target the body's cells instead of protecting them, causing a rapid loss of bone cells.<br /><br /></li>
<li><strong>Promote joint health: </strong>The vitamins and minerals naturally found in Arthronol help create synovial fluid, which is essential for joint mobility and lubrication. In addition to maintaining a healthy environment, synovial fluid protects joints against infection. Due to the irritation and friction caused by the loss of synovial fluid, the joint becomes painful and uncomfortable. The synovial fluid between the joints maintains energy and protects against friction when two bones come together during movement. Thus, <a href="https://www.fuzia.com/article_detail/800321/arthronol-joint-support-complex-shocking-scam-or-real-uses">Arthronol</a> ensures that there is enough fluid between the bones to prevent the bones from rubbing against each other as they move.<br /><br /></li>
<li><strong>Control inflammation:</strong> This blend contains powerful antioxidants and powerful anti-inflammatory capabilities, which are essential for successfully controlling the body's inflammatory response. In doing so, it helps to reduce discomfort and pain often caused by inflammation caused by movement. In addition, this wonderful treatment provides a drastic reduction in stiffness and edema, effectively solving problems associated with limited flexibility.<br /><br /></li>
<li><strong>Reduce stiffness and joint pain:</strong> Numerous clinical studies support the effectiveness of <a href="https://arthronoljointsupportcomplex.company.site/">Arthronol</a> ingredients, including glucosamine, chondroitin, turmeric, and Boswellia, in reducing pain and stiffness. For example, glucosamine sulphate reduced pain and stiffness by 28% and 21%, respectively, compared with placebo, in a meta-analysis of randomized controlled trials (23). With other important components, similar reductions were observed.<br /><br /></li>
<li><strong>Improves joint mobility and performance:</strong> <a href="https://www.fuzia.com/fz/arthronol-joint-support-complex">Arthronol</a> also seeks to increase range of motion and flexibility in addition to reducing pain. Lubricants like glucosamine and chondroitin help joints move easily and smoothly. Clinical evidence supports this benefit. After three years, research showed that taking 1500 mg of glucosamine sulphate per day significantly improved joint function and walking distance.</li>
</ul>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">Bumper OFFER 2023 | Read Arthronol Reviews</a></u></strong></p>
<p style="text-align: justify;"><strong>Arthronol Untold PROS:</strong></p>
<ul style="text-align: justify;">
<li>Natural substances that have been shown to relieve joint pain were used to create Arthronol.</li>
<li><a href="https://sketchfab.com/3d-models/arthronol-joint-support-complex-scam-2023-uses-f8aacd34749b42fd913be3a4b2de1380">Arthronol</a> provides temporary relief of pain and discomfort.</li>
<li>It alleviates the symptoms of arthritis.</li>
<li>Arthronol improves your joint function.</li>
<li>It allows for easy movement and restores joint mobility.</li>
<li>Your balance and joint strength are enhanced with Arthronol.</li>
<li>Your joints are kept lubricated, allowing for easy movement.</li>
<li><a href="https://www.provenexpert.com/arthronol-joint-support-complex/">Arthronol</a> relieves discomfort and relieves joint pain.</li>
<li>You can regain your independence and keep your joints healthy as you age with the help of Arthronol.</li>
<li><a href="https://medium.com/@arthronol_82227">Arthronol</a> protects against the damage that free radicals can cause to cells.</li>
<li>It promotes improved bone density and cartilage health.</li>
<li>Bone diseases can be prevented by using Arthronol.</li>
</ul>
<p style="text-align: justify;"><strong>Arthronol Untold CONS:</strong></p>
<ul style="text-align: justify;">
<li>Only the <u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">official website</a></u> is where you can get it.</li>
<li>Purchases cannot be made in the store.</li>
<li>It is not suitable for accident-related injuries and damages.</li>
<li>Individual results may vary.</li>
</ul>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">Exclusive Offer – Get Arthronol for an unbelievable low price today</a></u></strong></p>
<p style="text-align: justify;"><strong>Is Arthronol safe to use or any side effects?</strong></p>
<p style="text-align: justify;"><a href="https://medium.com/@arthronol_82227/arthronol-joint-support-complex-quality-joint-health-pain-relief-formula-or-cheap-ingredients-889907b425eb">Arthronol</a> has a very low chance of causing any side effects or moderate symptoms such as headache, nausea or indigestion, although the likelihood of this happening is negligible considering the safety of the procedure. manufacturing and all other manufacturing processes.</p>
<p style="text-align: justify;"><a href="https://www.facebook.com/profile.php?id=61550509630117">Arthronol</a> should be discontinued and consult your doctor if you experience any of these symptoms after taking it. Depending on your specific situation, they will be able to give you the best advice and decide if any further action is needed. To protect your overall health and manage any potential problems, it is essential to monitor your body's response to any supplement or medication.</p>
<p style="text-align: justify;"><strong>How to consume Arthronol capsules that work effectively?</strong></p>
<p style="text-align: justify;">The <a href="https://www.protocols.io/blind/5CD7EC30426011EEB8630A58A9FEAC02">Arthronol</a> container comes with 30 capsules, valid for one month. Therefore, it is recommended to regularly take one Arthronol tablet per day for the product to take effect slowly. The best time to take the drug is not specified. They can be consumed at any time of the day. However, it is best to maintain the same interval between doses. This implies that if you took a pill this morning, you should do the same tomorrow. This maintains the best plasma concentration of the drug by ensuring a fixed interval between the two doses. </p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://sale365day.com/get-arthronol"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzarCpf_VrVOHfXvkv3R91sSbJT6r1aogwkHOAje2NU3rYKe7XKqIY9q1PogiGkxjOOXZOifLNyMLiOJ3OX--BVBb8LRj7chi3enZOmnc68JWn1o9tr4iyMdN771Q1cUmHneg0WIQz0di90JRQu9qduUtzlDRpw03i9QZC0ZowWdE8-wBi1Ko5F4T8/w640-h296/efgewfggg.JPG" alt="" width="640" height="296" border="0" data-original-height="523" data-original-width="1130" /></a> </div>
<p style="text-align: justify;"><strong><u>[</u></strong><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">BEST OFFER TODAY]: Click to order Arthronol official website</a></u></strong></p>
<p style="text-align: justify;"><strong>What is the price & offers in Arthronol?</strong></p>
<p style="text-align: justify;">When purchased online now, a bottle of Arthronol costs $49 per bottle. But thanks to a recent sale, you can get <a href="https://arthronol-reviews-2023.webflow.io/">Arthronol</a> for just $33 per bottle when you buy 3 or 6 bottles.</p>
<p style="text-align: justify;">The cost of buying Arthronol online today is as follows:</p>
<ul style="text-align: justify;">
<li><strong>Get Arthronol One bottle: $49</strong></li>
<li><strong>Get Arthronol Three bottles: $117 Total - $39 per bottle</strong></li>
<li><strong>Get Arthronol Six bottles: $198 Total - $33 per bottle</strong></li>
</ul>
<p style="text-align: justify;">There are 30 pills, or 30 servings, in each box. To strengthen your body's natural defences against aches and pains, take one tablet daily.</p>
<p style="text-align: justify;"><strong>What are the Arthronol Bonuses?</strong></p>
<ul style="text-align: justify;">
<li><strong>Overcoming Arthritis:</strong></li>
</ul>
<p style="text-align: justify;">It's hard to distinguish fact from fiction when hundreds of treatments and medications claim to be able to cure your joints. You can learn the causes, types and treatment of arthritis with this eBook.</p>
<ul style="text-align: justify;">
<li><strong>5-Minute Massage:</strong></li>
</ul>
<p style="text-align: justify;">This e-book will show how to use massage and meridian therapy for self-healing. With just five minutes a day, you can help your body relax, relieve stress, and reduce discomfort.</p>
<ul style="text-align: justify;">
<li><strong>The World's Easiest Stretches for Pain:</strong></li>
</ul>
<p style="text-align: justify;">This revolutionary new e-book shows how to relieve back, hip and knee pain without engaging in physical activity. You hardly need to put in much effort and those gentle movements don't do any harm. The best part is that you will be able to relieve stress and relieve muscle pain faster than before. </p>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">(Extreme Savings) To Get Arthronol at a Discount, Click Here.</a></u></strong></p>
<p style="text-align: justify;"><strong>What is the refund policy in Arthronol?</strong></p>
<p style="text-align: justify;">A 60-day money-back guarantee is included with every <a href="https://infogram.com/arthronol-joint-support-complex-scam-or-legit-dont-buy-until-you-see-this-ingredients-pros-cons-and-side-effects-1hd12yxmljd1x6k">Arthronol</a> purchase. Users can return the empty bottle for a full refund of the shipping fee if they are not satisfied for any reason. This gives enough time to analyse the product without risk.</p>
<p style="text-align: justify;"><strong>Arthronol Customer Reviews – A Consumer Experience</strong></p>
<p style="text-align: justify;">"After using <a href="https://colab.research.google.com/drive/1gVJXeucvyDnIzixDjtx-1bInUcuUd5UP">Arthronol</a> for three months, my knee pain was so much reduced that I was able to start climbing again, which I had to stop due to arthritis. I sincerely agree.</p>
<ul style="text-align: justify;">
<li><strong>Evans, Jonathan</strong></li>
</ul>
<p style="text-align: justify;">"Over the years, I have tried many joint tonics with little success. But after taking Arthronol for a few weeks, I find that my fingers are more flexible and my shoulder pain is less. Now I can knit and plant trees again.</p>
<ul style="text-align: justify;">
<li><strong>Andrew</strong></li>
</ul>
<p style="text-align: justify;">"I was able to delay knee replacement surgery for many years with Arthronol. Considering I had mild arthritis, the orthopedic surgeon was pleased with the condition of my knee cartilage.</p>
<ul style="text-align: justify;">
<li><strong>Benjamin</strong></li>
</ul>
<p style="text-align: justify;">“This supplement has greatly reduced the discomfort of the degenerative joint disease my mother has. After years of struggling, she is now able to walk pain-free.</p>
<ul style="text-align: justify;">
<li><strong>Emma </strong></li>
</ul>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">Click to read more Arthronol Customer reviews </a></u></strong></p>
<p style="text-align: justify;"><strong>Arthronol Reviews – The Conclusion</strong></p>
<p style="text-align: justify;">In summary, is <a href="https://arthronol-reports-usa.clubeo.com/page/arthronol-reviews-worst-experience-any-side-effects-real-users-experience.html">Arthronol</a> worth a try when it comes to joint pain and stiffness? All things considered, our conclusions are: <a href="https://arthronoljointsupport.bandcamp.com/track/arthronol-reviews-2023-should-you-buy-joint-pain-relief-ingredients-work-or-fake-results">Arthronol</a> is a supplement worth trying because it contains high-quality ingredients in clinically effective dosages, has satisfied customers, and has a 60-day return policy. While there is no single drug, Arthronol includes some of the best natural substances that have been scientifically proven to help relieve joint pain caused by aging and arthritis.</p>
<p style="text-align: justify;">Within months, tens of thousands of customers reported significant pain relief and increased mobility. Furthermore, the statistics on the drop in joint replacement activities are quite convincing. You get the savings, free shipping and money-back guarantee, remember to buy directly from Arthronol.com. Beware of fakes and bargains on third-party websites. In conclusion, we strongly recommend trying <a href="https://arthronolreviewsofficial.contently.com/">Arthronol</a> if joint pain and stiffness is affecting your quality of life. You can very well move freely and comfortably again. </p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://sale365day.com/get-arthronol"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8z7IJa2-xIvTwNQZ6z6VLqUSLGqxBxw_5Ht8r5fUeL-7Z4VAwExujgrH3KZxWXGWyYHCFHSnucQ73oBisrmzeMzMeLER5pD_9_YWAPr2lL0hCpBiFzjAVr1eQudVT0pLpOP5vPM5Aq0Oqce5cGSl5yS71mx9esmGkI6DdYoPqb0L98SNTULqUZhil/w640-h478/wefwfffg.JPG" alt="" width="640" height="478" border="0" data-original-height="584" data-original-width="781" /></a> </div>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-arthronol" target="_blank" rel="nofollow noopener">Limited Discount: Get Arthronol at 70% off on the official website!</a></u></strong></p>
<p style="text-align: justify;"><strong>Frequently Asked Questions</strong></p>
<p style="text-align: justify;"><strong>What does Arthronol Do?</strong></p>
<p style="text-align: justify;"><a href="https://www.townscript.com/e/arthronol-reviews-1-usa-joint-support-complex-any-side-effects-reported-321110">Arthronol</a>™ contains a unique blend of natural herbs backed by science to provide temporary relief for occasional aches and discomfort.</p>
<p style="text-align: justify;"><strong>Is Arthronol effective?</strong></p>
<p style="text-align: justify;">Each component of <a href="https://lookerstudio.google.com/reporting/195aa020-88f3-414c-8afd-3f8598815e81/page/1UiaD">Arthronol</a> is organic in nature and has a lengthy track record of usage in conventional medicine. Numerous evaluations and comments from hundreds of thousands of customers attest to Arthronol reliability and effectiveness.</p>
<p style="text-align: justify;"><strong>Can I buy Arthronol in store?</strong></p>
<p style="text-align: justify;">To keep the formula fresh, and as potent as possible, we want to avoid having it stored in a warehouse, or on a store shelf. Making this available directly to you allows us to go from bottling to your doorstep as fast as possible.</p>
<p style="text-align: justify;"><strong>What if I’m taking pain relief supplements or medicine already?</strong></p>
<p style="text-align: justify;">We recommend talking to your healthcare provider before using any supplements to ensure that they are safe to be consumed with your medical history.</p>
<p style="text-align: justify;"><strong>What if it doesn’t work for me?</strong></p>
<p style="text-align: justify;">After you click the button below and place your order, you can return an empty bottle within a year of your purchase and still get 100% of your purchase price back. If at any time you’re unhappy with Arthronol™, just send back your empty bottles and we will refund you immediately. No questions asked.</p>
<p style="text-align: justify;"><a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/uEQCcduo1-Q"><strong>Arthronol</strong></a> asserts that "bone-to-bone" contact due to cartilage wear is not the primary cause of joint discomfort. Instead, it is the body's response to normal wear and tear that is the real underlying cause of joint discomfort. This is because cartilage is gradually broken down into small pieces, which "break out" of the joint and into your body. This cartilage is recognized and attacked by your immune system, causing joint discomfort and inflammation.</p>
<p><strong>Read More:</strong></p>
<p><a href="https://yourpillsboss.blogspot.com/2023/08/arthronol-joint-support-complex.html">https://yourpillsboss.blogspot.com/2023/08/arthronol-joint-support-complex.html</a><br /><a href="https://arthronol-joint-support-complex-official.jimdosite.com/">https://arthronol-joint-support-complex-official.jimdosite.com/</a><br /><a href="https://groups.google.com/g/arthronol-joint-support-complex-com">https://groups.google.com/g/arthronol-joint-support-complex-com</a><br /><a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/C7SzjvNEmEs">https://groups.google.com/g/arthronol-joint-support-complex-com/c/C7SzjvNEmEs</a><br /><a href="https://groups.google.com/g/arthronol-joint-support-complex-com/c/uEQCcduo1-Q">https://groups.google.com/g/arthronol-joint-support-complex-com/c/uEQCcduo1-Q</a><br /><a href="https://arthronol-com.clubeo.com/page/arthronol-reviews-shocking-customer-complaints-2023-negative-side-effects-risk-for-consumers.html">https://arthronol-com.clubeo.com/page/arthronol-reviews-shocking-customer-complaints-2023-negative-side-effects-risk-for-consumers.html</a><br /><a href="https://arthronol-com.clubeo.com/">https://arthronol-com.clubeo.com/</a><br /><a href="https://arthronolreview.bandcamp.com/track/arthronol-joint-support-complex-serious-side-effects-warning-negative-customer-complaints-exposed">https://arthronolreview.bandcamp.com/track/arthronol-joint-support-complex-serious-side-effects-warning-negative-customer-complaints-exposed</a><br /><a href="https://www.forexagone.com/forum/journal-de-trading/arthronol-joint-support-complex-formulated-with-100-pure-ingredients-that-helps-to-relief-from-pain-61694#158852">https://www.forexagone.com/forum/journal-de-trading/arthronol-joint-support-complex-formulated-with-100-pure-ingredients-that-helps-to-relief-from-pain-61694#158852</a><br /><a href="https://arthronoljointsupportcomplexusa.contently.com/">https://arthronoljointsupportcomplexusa.contently.com/</a><br /><a href="https://www.townscript.com/e/arthronol-joint-support-complex-warning-2023-know-this-first-before-buying-334421">https://www.townscript.com/e/arthronol-joint-support-complex-warning-2023-know-this-first-before-buying-334421</a><br /><a href="https://arthronol-joint-support-complex-2023.webflow.io/">https://arthronol-joint-support-complex-2023.webflow.io/</a><br /><a href="https://soundcloud.com/arthronol-joint-support-complex/arthronol-joint-support-complex-ingredients-side-effects-customer-complaints">https://soundcloud.com/arthronol-joint-support-complex/arthronol-joint-support-complex-ingredients-side-effects-customer-complaints</a><br /><a href="https://lookerstudio.google.com/reporting/195aa020-88f3-414c-8afd-3f8598815e81/page/1UiaD">https://lookerstudio.google.com/reporting/195aa020-88f3-414c-8afd-3f8598815e81/page/1UiaD</a><br /><a href="https://colab.research.google.com/drive/1gVJXeucvyDnIzixDjtx-1bInUcuUd5UP">https://colab.research.google.com/drive/1gVJXeucvyDnIzixDjtx-1bInUcuUd5UP</a><br /><a href="https://infogram.com/arthronol-joint-support-complex-scam-or-legit-dont-buy-until-you-see-this-ingredients-pros-cons-and-side-effects-1hd12yxmljd1x6k">https://infogram.com/arthronol-joint-support-complex-scam-or-legit-dont-buy-until-you-see-this-ingredients-pros-cons-and-side-effects-1hd12yxmljd1x6k</a><br /><a 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href="https://arthronoljointsupportcomplex.company.site/">https://arthronoljointsupportcomplex.company.site/</a><br /><a href="https://www.provenexpert.com/arthronol-joint-support-complex/">https://www.provenexpert.com/arthronol-joint-support-complex/</a><br /><a href="https://www.fuzia.com/fz/arthronol-joint-support-complex">https://www.fuzia.com/fz/arthronol-joint-support-complex</a><br /><a href="https://www.fuzia.com/article_detail/800321/arthronol-joint-support-complex-shocking-scam-or-real-uses">https://www.fuzia.com/article_detail/800321/arthronol-joint-support-complex-shocking-scam-or-real-uses</a><br /><a href="https://arthronoljointsupportcomplex.godaddysites.com/">https://arthronoljointsupportcomplex.godaddysites.com/</a><br /><a href="https://devfolio.co/@arthronolreview">https://devfolio.co/@arthronolreview</a><br /><a href="https://vocal.media/stories/arthronol-joint-support-complex-100-trusted-most-shocking-truth-exposed">https://vocal.media/stories/arthronol-joint-support-complex-100-trusted-most-shocking-truth-exposed</a><br /><a href="https://arthronol-joint-support-complex.hashnode.dev/arthronol-joint-support-complex-2023-truth-behind-customer-reviews-and-testimonials-busted">https://arthronol-joint-support-complex.hashnode.dev/arthronol-joint-support-complex-2023-truth-behind-customer-reviews-and-testimonials-busted</a><br /><a href="https://hashnode.com/@arthronoljointsuppor">https://hashnode.com/@arthronoljointsuppor</a><br /><a href="https://www.townscript.com/e/arthronol-reviews-1-usa-joint-support-complex-any-side-effects-reported-321110">https://www.townscript.com/e/arthronol-reviews-1-usa-joint-support-complex-any-side-effects-reported-321110</a><br /><a href="https://arthronol-reports-usa.clubeo.com/page/arthronol-reviews-worst-experience-any-side-effects-real-users-experience.html">https://arthronol-reports-usa.clubeo.com/page/arthronol-reviews-worst-experience-any-side-effects-real-users-experience.html</a><br /><a href="https://arthronolreviewsofficial.contently.com/">https://arthronolreviewsofficial.contently.com/</a><br /><a href="https://arthronoljointsupport.bandcamp.com/track/arthronol-reviews-2023-should-you-buy-joint-pain-relief-ingredients-work-or-fake-results">https://arthronoljointsupport.bandcamp.com/track/arthronol-reviews-2023-should-you-buy-joint-pain-relief-ingredients-work-or-fake-results</a><br /><a href="https://arthronol-reviews-2023.webflow.io/">https://arthronol-reviews-2023.webflow.io/</a><br /><a href="https://www.forexagone.com/forum/options-binaires/arthronol-reviews-scam-exposed-joint-support-complex-expert-analysis-to-determine-it-s-legitimacy-61882#159040">https://www.forexagone.com/forum/options-binaires/arthronol-reviews-scam-exposed-joint-support-complex-expert-analysis-to-determine-it-s-legitimacy-61882#159040</a><br /><a href="https://sketchfab.com/3d-models/arthronol-reviews-1-joint-support-complex-259866734d4549bb90719c9231c92175">https://sketchfab.com/3d-models/arthronol-reviews-1-joint-support-complex-259866734d4549bb90719c9231c92175</a><br /><a href="https://www.provenexpert.com/arthronol2/">https://www.provenexpert.com/arthronol2/</a></p> |
AnuraSet/AnuraSet_v1.0.0 | 2023-08-24T16:45:31.000Z | [
"license:mit",
"region:us"
] | AnuraSet | null | null | null | 0 | 0 | ---
license: mit
---
|
KAZUMU/RUNA_RVC_MODEL | 2023-08-24T13:18:08.000Z | [
"region:us"
] | KAZUMU | null | null | null | 0 | 0 | Entry not found |
prit1205/call_home_sample | 2023-08-24T13:23:51.000Z | [
"region:us"
] | prit1205 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 235351737.0
num_examples: 8
download_size: 186021031
dataset_size: 235351737.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "call_home_sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
AnuraSet/AnuraSet_v2.0.0_raw | 2023-08-24T13:35:32.000Z | [
"license:mit",
"region:us"
] | AnuraSet | null | null | null | 0 | 0 | ---
license: mit
---
|
AnuraSet/AnuraSet_v1.0.0_raw | 2023-08-24T13:59:18.000Z | [
"license:mit",
"region:us"
] | AnuraSet | null | null | null | 0 | 0 | ---
license: mit
---
|
waliiid/your_dataset_walid | 2023-08-24T14:22:46.000Z | [
"region:us"
] | waliiid | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: File Name
dtype: string
- name: Content
dtype: string
splits:
- name: train
num_bytes: 3644
num_examples: 20
download_size: 6669
dataset_size: 3644
---
# Dataset Card for "your_dataset_walid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
waliiid/your_dataset_www | 2023-08-24T16:14:02.000Z | [
"region:us"
] | waliiid | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Input
dtype: string
- name: Name
dtype: string
- name: Description
dtype: string
- name: Temperature
dtype: string
splits:
- name: train
num_bytes: 3720
num_examples: 15
download_size: 4656
dataset_size: 3720
---
# Dataset Card for "your_dataset_www"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
parkerhorn/omgcrack | 2023-08-24T15:09:53.000Z | [
"license:openrail",
"region:us"
] | parkerhorn | null | null | null | 0 | 0 | ---
license: openrail
---
|
Rc200123/socialsecurity | 2023-08-24T14:29:28.000Z | [
"region:us"
] | Rc200123 | null | null | null | 0 | 0 | Entry not found |
BleachNick/MIC | 2023-08-24T14:42:54.000Z | [
"license:unknown",
"region:us"
] | BleachNick | null | null | null | 0 | 0 | ---
license: unknown
---
|
waliiid/abc | 2023-08-24T15:15:16.000Z | [
"region:us"
] | waliiid | null | null | null | 0 | 0 | |
tiagotrindade/NSText2SQL_1_column | 2023-08-24T15:10:31.000Z | [
"region:us"
] | tiagotrindade | null | null | null | 0 | 0 | Entry not found |
Muhammadreza/basic_farsi | 2023-08-24T15:09:42.000Z | [
"region:us"
] | Muhammadreza | null | null | null | 0 | 0 | Entry not found |
zack01/instruct_qa_financial | 2023-08-27T08:25:05.000Z | [
"region:us"
] | zack01 | null | null | null | 0 | 0 | Entry not found |
STumpang/KOL | 2023-08-24T16:19:52.000Z | [
"region:us"
] | STumpang | null | null | null | 0 | 0 | Entry not found |
ednalaxer/datacomp_small_clip1_30pct_asciichr_greater_than_4 | 2023-08-24T15:38:46.000Z | [
"region:us"
] | ednalaxer | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: uid
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: original_width
dtype: int64
- name: original_height
dtype: int64
- name: clip_b32_similarity_score
dtype: float32
- name: clip_l14_similarity_score
dtype: float32
- name: face_bboxes
sequence:
sequence: float64
- name: sha256
dtype: string
- name: detected_language
dtype: string
splits:
- name: train
num_bytes: 1169130941.7924173
num_examples: 3642339
download_size: 985672181
dataset_size: 1169130941.7924173
---
# Dataset Card for "datacomp_small_clip1_30pct_asciichr_greater_than_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
silk-road/Chat_Suzumiya_Fusion_B | 2023-08-24T15:47:37.000Z | [
"region:us"
] | silk-road | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: context
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 148676547
num_examples: 37907
download_size: 44576110
dataset_size: 148676547
---
# Dataset Card for "Chat_Suzumiya_Fusion_B"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
khalidalt/mlqa_ar | 2023-08-24T16:02:40.000Z | [
"region:us"
] | khalidalt | null | null | null | 0 | 0 | Entry not found |
Saurabh16100/test | 2023-08-24T16:10:09.000Z | [
"region:us"
] | Saurabh16100 | null | null | null | 0 | 0 | Entry not found |
katphlab/qa_dataset | 2023-08-24T16:22:26.000Z | [
"region:us"
] | katphlab | null | null | null | 0 | 0 | Entry not found |
light064/ReactAllPlayer | 2023-08-24T16:23:11.000Z | [
"region:us"
] | light064 | null | null | null | 0 | 0 | Entry not found |
lucasmartinho/reddit_topics | 2023-08-24T16:36:23.000Z | [
"region:us"
] | lucasmartinho | Demo... | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250},
pages = {arXiv:1606.05250},
archivePrefix = {arXiv},
eprint = {1606.05250},
} | null | 0 | 0 | Entry not found |
AnthonyRayo/PluginDataSet | 2023-08-24T16:41:15.000Z | [
"region:us"
] | AnthonyRayo | null | null | null | 0 | 0 | Entry not found |
AnuraSet/AnuraSet_v3.0.0 | 2023-08-24T17:00:11.000Z | [
"license:mit",
"region:us"
] | AnuraSet | null | null | null | 0 | 0 | ---
license: mit
---
|
danjacobellis/MPQv1 | 2023-08-24T17:07:33.000Z | [
"region:us"
] | danjacobellis | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: quality
dtype: float32
- name: correct
dtype: float64
splits:
- name: train
num_bytes: 123720.0
num_examples: 10310
- name: test
num_bytes: 30936.0
num_examples: 2578
download_size: 79295
dataset_size: 154656.0
---
# Dataset Card for "MPQv1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
bignerdlolz/logslash | 2023-09-27T22:36:09.000Z | [
"license:openrail",
"region:us"
] | bignerdlolz | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | null | 0 | 0 | ---
license: openrail
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
talentlabs/training-data-blog-writer_v25-08-2023 | 2023-08-24T17:13:52.000Z | [
"region:us"
] | talentlabs | null | null | null | 0 | 0 | Entry not found |
anupamchaitanya/001_Llama_Experiment | 2023-08-24T17:13:59.000Z | [
"region:us"
] | anupamchaitanya | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 338808
num_examples: 200
download_size: 201257
dataset_size: 338808
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "001_Llama_Experiment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
jkswin/polyglot_fr_en_subset | 2023-08-25T17:04:01.000Z | [
"region:us"
] | jkswin | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: id
dtype: string
- name: lang
dtype: string
- name: tokens
sequence: string
- name: ner_tags
sequence: string
- name: embedding
sequence: float32
- name: embedding_norm
sequence: float64
- name: projections
sequence: float64
- name: cluster
dtype: int64
splits:
- name: train
num_bytes: 45500503
num_examples: 8000
- name: validation
num_bytes: 5645239
num_examples: 1000
- name: test
num_bytes: 5648010
num_examples: 1000
download_size: 62998621
dataset_size: 56793752
---
# Dataset Card for "polyglot_fr_en_subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
anupamchaitanya/001_Llama_Experiment_finetuned | 2023-08-24T17:22:55.000Z | [
"region:us"
] | anupamchaitanya | null | null | null | 0 | 0 | Entry not found |
Akirevior/yuma | 2023-08-24T17:37:21.000Z | [
"region:us"
] | Akirevior | null | null | null | 0 | 0 | Entry not found |
rangeli4/test_ds | 2023-08-24T17:55:06.000Z | [
"license:cc",
"region:us"
] | rangeli4 | null | null | null | 0 | 0 | ---
license: cc
---
|
prakharrishi11j/newsCategorization | 2023-08-30T14:49:15.000Z | [
"license:llama2",
"region:us"
] | prakharrishi11j | null | null | null | 0 | 0 | ---
license: llama2
---
|
sirmuelemos/analyticsllmdata | 2023-08-24T18:11:50.000Z | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"finance",
"region:us"
] | sirmuelemos | null | null | null | 0 | 0 | ---
task_categories:
- text-generation
language:
- en
tags:
- finance
size_categories:
- 1K<n<10K
--- |
GISY/products | 2023-08-24T18:03:12.000Z | [
"region:us"
] | GISY | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 98817842.808
num_examples: 1208
download_size: 104434702
dataset_size: 98817842.808
---
# Dataset Card for "products"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
BramVanroy/stackoverflow-chat-dutch-llamav2-format | 2023-10-03T05:05:14.000Z | [
"language:nl",
"region:us"
] | BramVanroy | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: dialog
list:
- name: content
dtype: string
- name: role
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 77105804
num_examples: 56964
download_size: 36184850
dataset_size: 77105804
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- nl
---
# Dataset Card for "stackoverflow-chat-dutch-llamav2-format"
This is a reformatted version of [stackoverflow-chat-dutch](https://huggingface.co/datasets/BramVanroy/stackoverflow-chat-dutch). See that dataset
for more information such a license, usage, citation. |
loreleyc/your-dataset-name | 2023-08-24T18:17:00.000Z | [
"region:us"
] | loreleyc | null | null | null | 0 | 0 | Entry not found |
Blizaine/3DGS-Testing | 2023-08-28T04:14:46.000Z | [
"region:us"
] | Blizaine | null | null | null | 0 | 0 | Entry not found |
hf-internal-testing/multi_dir_dataset | 2022-02-25T17:58:58.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
mikewang/padv2 | 2023-08-24T18:30:04.000Z | [
"language:en",
"region:us"
] | mikewang | Padv2 dataset:https://github.com/lhc1224/OSAD_Net#-dataset-;
- This dataset loads the PADv2_part1.zip
- Each instance contains the following fields:
- `image_uid`: unique id to a dataset instanec
- `image_path`: path to the raw rgb image
- `depth_path`: path to the depth annotation of the image
- `mask_path`: path to the object mask of the image
- `affordance_type`: affordance type of the object in the image
- `original_divisions`: there are three versions of divisions on the affordance types in the original dataset, this field stores the split ("train" or "test") of this instance in the three different divisions ("divide_1", "divide_2", "divide_3") | @article{luo2021one,
title={One-Shot Object Affordance Detection in the Wild},
author={Zhai, Wei and Luo, Hongchen and Zhang, Jing and Cao, Yang and Tao, Dacheng},
journal={arXiv preprint arXiv:2108.03658},
year={2021}
} | null | 0 | 0 | ---
pretty_name: 'Padv2 Dataset - Part1'
language:
- en
---
# Dataset Card for Padv2 Part1
## Dataset Description
**Official Repo:** https://github.com/lhc1224/OSAD_Net#-dataset-;
**IMPORTANT Notes**:
- This Huggingface dataset loads the Part1 of the Padv2 dataset, i.e., the PADv2_part1.zip; The file can also be downloaded from: https://uofi.box.com/s/1atjh3d2p82qyxm3gp11514006va0llq
- Each instance in the loaded HF dataset contains the following fields:
- `image_uid`: unique id to a dataset instanec
- `image_path`: path to the raw rgb image
- `depth_path`: path to the depth annotation of the image
- `mask_path`: path to the object mask of the image
- `affordance_type`: affordance type of the object in the image
- `original_divisions`: there are three versions of divisions on the affordance types in the original dataset, this field stores the split ("train" or "test") of this instance in the three different divisions ("divide_1", "divide_2", "divide_3")
**Paper Citation:**
```
@inproceedings{Oneluo,
title={One-Shot Affordance Detection},
author={Hongchen Luo and Wei Zhai and Jing Zhang and Yang Cao and Dacheng Tao},
booktitle={IJCAI},
year={2021}
}
```
```
@article{luo2021one,
title={One-Shot Object Affordance Detection in the Wild},
author={Zhai, Wei and Luo, Hongchen and Zhang, Jing and Cao, Yang and Tao, Dacheng},
journal={arXiv preprint arXiv:2108.03658},
year={2021}
}
```
## Dataset Summary
With complex scenes and rich annotations, the PADv2 dataset can be used as a test bed to benchmark affordance detection methods and may also facilitate downstream vision tasks, such as scene understanding, action recognition, and robot manipulation.
It contains 30k diverse images covering 39 affordance categories as well as 103 object categories from different scenes. |
IM2LO/REG_IMAGES_SDXL_1024px | 2023-08-24T18:32:35.000Z | [
"region:us"
] | IM2LO | null | null | null | 0 | 0 | Entry not found |
cncanon/orp-ft | 2023-08-24T19:24:45.000Z | [
"region:us"
] | cncanon | null | null | null | 0 | 0 | # OAI Reverse Proxy
Reverse proxy server for the OpenAI and Anthropic APIs. Forwards text generation requests while rejecting administrative/billing requests. Includes optional rate limiting and prompt filtering to prevent abuse.
### Table of Contents
- [What is this?](#what-is-this)
- [Why?](#why)
- [Usage Instructions](#setup-instructions)
- [Deploy to Huggingface (Recommended)](#deploy-to-huggingface-recommended)
- [Deploy to Repl.it (WIP)](#deploy-to-replit-wip)
- [Local Development](#local-development)
## What is this?
If you would like to provide a friend access to an API via keys you own, you can use this to keep your keys safe while still allowing them to generate text with the API. You can also use this if you'd like to build a client-side application which uses the OpenAI or Anthropic APIs, but don't want to build your own backend. You should never embed your real API keys in a client-side application. Instead, you can have your frontend connect to this reverse proxy and forward requests to the downstream service.
This keeps your keys safe and allows you to use the rate limiting and prompt filtering features of the proxy to prevent abuse.
## Why?
OpenAI keys have full account permissions. They can revoke themselves, generate new keys, modify spend quotas, etc. **You absolutely should not share them, post them publicly, nor embed them in client-side applications as they can be easily stolen.**
This proxy only forwards text generation requests to the downstream service and rejects requests which would otherwise modify your account.
---
## Usage Instructions
If you'd like to run your own instance of this proxy, you'll need to deploy it somewhere and configure it with your API keys. A few easy options are provided below, though you can also deploy it to any other service you'd like.
### Deploy to Huggingface (Recommended)
[See here for instructions on how to deploy to a Huggingface Space.](./docs/deploy-huggingface.md)
### Deploy to Render
[See here for instructions on how to deploy to Render.com.](./docs/deploy-render.md)
## Local Development
To run the proxy locally for development or testing, install Node.js >= 18.0.0 and follow the steps below.
1. Clone the repo
2. Install dependencies with `npm install`
3. Create a `.env` file in the root of the project and add your API keys. See the [.env.example](./.env.example) file for an example.
4. Start the server in development mode with `npm run start:dev`.
You can also use `npm run start:dev:tsc` to enable project-wide type checking at the cost of slower startup times. `npm run type-check` can be used to run type checking without starting the server.
|
semoga21/jpfulltirai | 2023-08-24T18:45:40.000Z | [
"region:us"
] | semoga21 | null | null | null | 0 | 0 | Entry not found |
marianna13/mattermodeling-stackexchange | 2023-08-24T18:46:13.000Z | [
"region:us"
] | marianna13 | null | null | null | 0 | 0 | Entry not found |
burnmyletters/fashion_retrieval | 2023-08-24T18:45:10.000Z | [
"region:us"
] | burnmyletters | null | null | null | 1 | 0 | Entry not found |
hf-internal-testing/imagefolder_with_metadata | 2022-06-28T12:59:23.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
semoga432/jpkamer | 2023-08-24T18:53:55.000Z | [
"region:us"
] | semoga432 | null | null | null | 0 | 0 | Entry not found |
ACT8113/Max_headroom_pirate | 2023-08-24T19:05:17.000Z | [
"license:openrail",
"region:us"
] | ACT8113 | null | null | null | 0 | 0 | ---
license: openrail
---
|
hf-internal-testing/compressed_files | 2021-08-16T13:22:32.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
hf-internal-testing/raw_jsonl | 2021-07-06T06:21:44.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
hf-internal-testing/textfolder | 2022-11-03T12:53:35.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
atmallen/sloppy_addition_both_labels_0.9 | 2023-08-24T19:08:23.000Z | [
"region:us"
] | atmallen | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: statement
dtype: string
- name: alice_label
dtype: bool
- name: bob_label
dtype: bool
splits:
- name: train
num_bytes: 3971787
num_examples: 200000
- name: validation
num_bytes: 397279
num_examples: 20000
- name: test
num_bytes: 396392
num_examples: 20000
download_size: 3125958
dataset_size: 4765458
---
# Dataset Card for "sloppy_addition_both_labels_0.9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
worde-byte/quickcomments_3.5 | 2023-08-24T19:08:50.000Z | [
"region:us"
] | worde-byte | null | null | null | 0 | 0 | Entry not found |
atmallen/sloppy_addition_both_labels_1 | 2023-08-24T19:08:40.000Z | [
"region:us"
] | atmallen | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: statement
dtype: string
- name: alice_label
dtype: bool
- name: bob_label
dtype: bool
splits:
- name: train
num_bytes: 3971344
num_examples: 200000
- name: validation
num_bytes: 397449
num_examples: 20000
- name: test
num_bytes: 396155
num_examples: 20000
download_size: 3134937
dataset_size: 4764948
---
# Dataset Card for "sloppy_addition_both_labels_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Fante56666/NickAI | 2023-08-24T19:08:55.000Z | [
"region:us"
] | Fante56666 | null | null | null | 0 | 0 | Entry not found |
worde-byte/quickcomments_3.5_better | 2023-08-24T19:09:25.000Z | [
"region:us"
] | worde-byte | null | null | null | 0 | 0 | Entry not found |
anujsahani01/Clean_PyTextMap | 2023-08-25T13:58:58.000Z | [
"region:us"
] | anujsahani01 | null | null | null | 0 | 0 | Entry not found |
FASOXO/Colab-stable-diffusion-webui-localization-zh_CN-FAS | 2023-08-24T21:11:12.000Z | [
"region:us"
] | FASOXO | null | null | null | 0 | 0 | # stable-diffusion-webui-localization-zh_CN
Simplified Chinese translation extension , Used for [AUTOMATIC1111's stable diffusion webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
## 简体中文(Simplified Chinese)
简体中文翻译扩展，适用于 [stable diffusion webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
***推荐与 [Bilingual Localization](https://github.com/journey-ad/sd-webui-bilingual-localization) 共同使用***
[术语表](Terminology.md) - [已知问题](Known-Bug.md)
[webUI中文Wiki文档](https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN/wiki) (编辑中/待翻新)
## 已翻译扩展
<details>
<summary>待翻新</summary>
- [x] [美术风格梯度](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients)
- [x] [通配符](https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards)
- [x] [动态提示词](https://github.com/adieyal/sd-dynamic-prompts)
- [x] [dreambooth 插件](https://github.com/d8ahazard/sd_dreambooth_extension)
- [x] [智能预处理](https://github.com/d8ahazard/sd_smartprocess)
- [x] [图库浏览器](https://github.com/yfszzx/stable-diffusion-webui-images-browser)
- [x] [生成过程动画](https://github.com/vladmandic/sd-extension-steps-animation)
- [ ] [灵感](https://github.com/yfszzx/stable-diffusion-webui-inspiration)
- [ ] [Deforum](https://github.com/deforum-art/deforum-for-automatic1111-webui)
- [ ] [艺术家图库](https://github.com/camenduru/stable-diffusion-webui-artists-to-study)
- [ ] [美术风格评分](https://github.com/tsngo/stable-diffusion-webui-aesthetic-image-scorer)
- [ ] [数据集标签编辑器](https://github.com/toshiaki1729/stable-diffusion-webui-dataset-tag-editor)
- [ ] [画图工具插件](https://github.com/Interpause/auto-sd-paint-ext)
- [x] [训练图挑选器](https://github.com/Maurdekye/training-picker)
- [x] [非文本（代码化）提示词](https://github.com/ThereforeGames/unprompted)
- [ ] [风格加码](https://github.com/some9000/StylePile)
- [ ] [Booru 标签(tag)自动补全](https://github.com/DominikDoom/a1111-sd-webui-tagcomplete)
- [x] [Tag自动补全](https://github.com/DominikDoom/a1111-sd-webui-tagcomplete)
- [x] [novelai 转 webui 括号](https://github.com/animerl/novelai-2-local-prompt)
- [x] [词元分析器(tokenizer)](https://github.com/AUTOMATIC1111/stable-diffusion-webui-tokenizer)
- [x] [镜像潜空间图像](https://github.com/dfaker/SD-latent-mirroring)
- [x] [embedding 编辑器](https://github.com/CodeExplode/stable-diffusion-webui-embedding-editor)
- [x] [种子变迁](https://github.com/yownas/seed_travel)
- [x] [关注转移](https://github.com/yownas/shift-attention)
- [x] [检测细致化](https://github.com/dustysys/ddetailer.git)
- [x] [提示词变迁](https://github.com/Kahsolt/stable-diffusion-webui-prompt-travel)
- [x] [高分辨率修复原图调节强度]( https://github.com/dtlnor/stable-diffusion-webui-conditioning-highres-fix.git)
- [x] [随机化](https://github.com/stysmmaker/stable-diffusion-webui-randomize.git)
- [x] [自动 TLS-HTTPS](https://github.com/papuSpartan/stable-diffusion-webui-auto-tls-https.git)
- [x] [梦作家](https://github.com/7eu7d7/DreamArtist-sd-webui-extension.git)
- [ ] [Waifu Diffusion 1.4 标签器](https://github.com/toriato/stable-diffusion-webui-wd14-tagger.git)
- [ ] [booru转提示词](https://github.com/Malisius/booru2prompt)
- [ ] [合并面板](https://github.com/bbc-mc/sdweb-merge-board)
- [ ] [多主体渲染器](https://github.com/Extraltodeus/multi-subject-render)
- [ ] [深度图转蒙版](https://github.com/Extraltodeus/depthmap2mask)
- [ ] [Cross-Attention 可视化](https://github.com/benkyoujouzu/stable-diffusion-webui-visualize-cross-attention-extension)
</details>
## 已翻译外置脚本
<details>
<summary>待翻新</summary>
- [x] [embedding 转 png](https://github.com/dfaker/embedding-to-png-script)
</details>
## 贡献
- 如果你觉得有些翻译很奇怪，可以在qq群里交流，群号418316375；又或者[提交一个新issue](https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN/issues/new/choose)
- 如果你想添加一些尚未支持的扩展、脚本的翻译，欢迎pr
## Credit
- 所有的 contributor 以及 collaborator
- 御坂桜
## 如何安装webUI简体中文语言包
<details>
<summary>新版本 webui 安装方法【点击展开】</summary>
### 1. 通过官方扩展列表安装
此扩展可以在 **Extension** 选项卡里面通过加载官方插件列表直接安装
- 点击 `Extension` 选项卡，点击 `Avaliable` 子选项卡
- **取消勾选** `localization`，再把其他勾上，然后点击 **橙色按钮**，如下图
- 在 `zh_CN Localization` 这一项的右边点击 `install`
- 安装完成，跳转到 [如何使用](#如何使用)
### 2. 或者，通过网址安装
- 点击 `Extension` 选项卡，点击 `Install from URL` 子选项卡
- 复制本 git 仓库网址：
```
https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN
```
- 粘贴进 URL 栏，点击 `Install`，如图
- 安装完成，跳转到 [如何使用](#如何使用)
### 3. 又或者，直接下载然后放在对应路径
- [下载本 git 仓库](https://codeload.github.com/dtlnor/stable-diffusion-webui-localization-zh_CN/zip/refs/heads/main)为 zip 档案
- 解压，并把文件夹放置在 webui 根目录下的 `extensions` 文件夹中，放好之后应该会如下图
- 安装完成，跳转到 [如何使用](#如何使用)
</details>
<details>
<summary>2022年旧版本 webui 安装方法【点击展开】</summary>
### 1. 通过官方扩展列表安装【旧版】
此扩展可以在 **extension** 选项卡里面通过加载官方插件列表直接安装
- 点击 `extension` 选项卡，点击 `Avaliable` 子选项卡
- **取消勾选** `localization`，然后点击 **橙色按钮**，如下图
- 在 `zh_CN Localization` 这一项的右边点击 `install`
- 安装完成，跳转到 [如何使用](#如何使用)
### 2. 或者，通过网址安装【旧版】
- 点击 `extension` 选项卡，点击 `Install from URL` 子选项卡
- 复制本 git 仓库网址：
```
https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN
```
- 粘贴进 URL 栏，点击 `Install`，如图
- 安装完成，跳转到 [如何使用](#如何使用)
### 3. 又或者，直接下载然后放在对应路径【旧版】
- [下载本 git 仓库](https://codeload.github.com/dtlnor/stable-diffusion-webui-localization-zh_CN/zip/refs/heads/main)为 zip 档案
- 解压，并把文件夹放置在 webui 根目录下的 `extensions` 文件夹中，放好之后应该会如下图
- 安装完成，跳转到 [如何使用](#如何使用)
</details>
## 如何使用
> 2022 旧版 webui [点这里](#如何使用旧版)
**确保扩展已经正确加载**
- 重启webUI以确保扩展已经加载了
- 在 `Settings` 选项卡，点击 **页面右上角**的 **橙色 `Reload UI` 按钮** 刷新扩展列表
- 在 `Extensions` 选项卡，确定已勾选本扩展☑️；如未勾选，勾选后点击**橙色按钮**启用本扩展。
**选择简体中文语言包（zh_CN）**
- 在 `Settings` 选项卡中，找到 `User interface` 子选项
- 然后去页面最底部，找到 `Localization (requires restart)` 小项，找到在下拉选单中选中 `zh_CN` （如果没有就按一下🔄按钮），如图
- 然后按一下 页面顶部左边的 **橙色 `Apply settings` 按钮** 保存设置，再按 右边的 **橙色 `Reload UI` 按钮** 重启webUI
</details>
## 如何使用【旧版】
<details>
<summary> 2022年旧版本 webui【点击展开】</summary>
**重启webUI以启用扩展**
- 在 `Settings` 选项卡，点击 **页面底部**的 **橙色按钮** 刷新扩展列表
- 在 `Extensions` 选项卡，确定已勾选本扩展☑️；如未勾选，勾选后点击**橙色按钮**启用本扩展。
**选择简体中文语言包（zh_CN）**
- 在 `Settings` 选项卡中，找到 `Localization (requires restart)` 小项，然后在下拉选单中选中 `zh_CN` （如果没有就按一下🔄按钮），如图
- 然后按一下 页面顶部的 **橙色按钮** 保存设置，再按 页面底部的 **橙色按钮** 重启webUI
</details>
|
startificial/twitter-nlp | 2023-08-25T01:13:03.000Z | [
"license:mit",
"region:us"
] | startificial | null | null | null | 0 | 0 | ---
license: mit
---
|
tosh97/huggingface_agg_kor_sorted | 2023-08-24T20:32:22.000Z | [
"region:us"
] | tosh97 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: ko
dtype: string
- name: en
dtype: string
splits:
- name: train
num_bytes: 3990832726.0
num_examples: 11818226
download_size: 2519201456
dataset_size: 3990832726.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "huggingface_agg_kor_sorted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
incodesatx/siddhu | 2023-08-24T20:29:53.000Z | [
"license:artistic-2.0",
"region:us"
] | incodesatx | null | null | null | 0 | 0 | ---
license: artistic-2.0
---
|
danjacobellis/imagenet_RDAE100 | 2023-08-24T20:51:57.000Z | [
"region:us"
] | danjacobellis | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: label
dtype:
class_label:
names:
'0': tench, Tinca tinca
'1': goldfish, Carassius auratus
'2': great white shark, white shark, man-eater, man-eating shark, Carcharodon
carcharias
'3': tiger shark, Galeocerdo cuvieri
'4': hammerhead, hammerhead shark
'5': electric ray, crampfish, numbfish, torpedo
'6': stingray
'7': cock
'8': hen
'9': ostrich, Struthio camelus
'10': brambling, Fringilla montifringilla
'11': goldfinch, Carduelis carduelis
'12': house finch, linnet, Carpodacus mexicanus
'13': junco, snowbird
'14': indigo bunting, indigo finch, indigo bird, Passerina cyanea
'15': robin, American robin, Turdus migratorius
'16': bulbul
'17': jay
'18': magpie
'19': chickadee
'20': water ouzel, dipper
'21': kite
'22': bald eagle, American eagle, Haliaeetus leucocephalus
'23': vulture
'24': great grey owl, great gray owl, Strix nebulosa
'25': European fire salamander, Salamandra salamandra
'26': common newt, Triturus vulgaris
'27': eft
'28': spotted salamander, Ambystoma maculatum
'29': axolotl, mud puppy, Ambystoma mexicanum
'30': bullfrog, Rana catesbeiana
'31': tree frog, tree-frog
'32': tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui
'33': loggerhead, loggerhead turtle, Caretta caretta
'34': leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea
'35': mud turtle
'36': terrapin
'37': box turtle, box tortoise
'38': banded gecko
'39': common iguana, iguana, Iguana iguana
'40': American chameleon, anole, Anolis carolinensis
'41': whiptail, whiptail lizard
'42': agama
'43': frilled lizard, Chlamydosaurus kingi
'44': alligator lizard
'45': Gila monster, Heloderma suspectum
'46': green lizard, Lacerta viridis
'47': African chameleon, Chamaeleo chamaeleon
'48': Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus
komodoensis
'49': African crocodile, Nile crocodile, Crocodylus niloticus
'50': American alligator, Alligator mississipiensis
'51': triceratops
'52': thunder snake, worm snake, Carphophis amoenus
'53': ringneck snake, ring-necked snake, ring snake
'54': hognose snake, puff adder, sand viper
'55': green snake, grass snake
'56': king snake, kingsnake
'57': garter snake, grass snake
'58': water snake
'59': vine snake
'60': night snake, Hypsiglena torquata
'61': boa constrictor, Constrictor constrictor
'62': rock python, rock snake, Python sebae
'63': Indian cobra, Naja naja
'64': green mamba
'65': sea snake
'66': horned viper, cerastes, sand viper, horned asp, Cerastes cornutus
'67': diamondback, diamondback rattlesnake, Crotalus adamanteus
'68': sidewinder, horned rattlesnake, Crotalus cerastes
'69': trilobite
'70': harvestman, daddy longlegs, Phalangium opilio
'71': scorpion
'72': black and gold garden spider, Argiope aurantia
'73': barn spider, Araneus cavaticus
'74': garden spider, Aranea diademata
'75': black widow, Latrodectus mactans
'76': tarantula
'77': wolf spider, hunting spider
'78': tick
'79': centipede
'80': black grouse
'81': ptarmigan
'82': ruffed grouse, partridge, Bonasa umbellus
'83': prairie chicken, prairie grouse, prairie fowl
'84': peacock
'85': quail
'86': partridge
'87': African grey, African gray, Psittacus erithacus
'88': macaw
'89': sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita
'90': lorikeet
'91': coucal
'92': bee eater
'93': hornbill
'94': hummingbird
'95': jacamar
'96': toucan
'97': drake
'98': red-breasted merganser, Mergus serrator
'99': goose
'100': black swan, Cygnus atratus
'101': tusker
'102': echidna, spiny anteater, anteater
'103': platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus
anatinus
'104': wallaby, brush kangaroo
'105': koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus
'106': wombat
'107': jellyfish
'108': sea anemone, anemone
'109': brain coral
'110': flatworm, platyhelminth
'111': nematode, nematode worm, roundworm
'112': conch
'113': snail
'114': slug
'115': sea slug, nudibranch
'116': chiton, coat-of-mail shell, sea cradle, polyplacophore
'117': chambered nautilus, pearly nautilus, nautilus
'118': Dungeness crab, Cancer magister
'119': rock crab, Cancer irroratus
'120': fiddler crab
'121': king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes
camtschatica
'122': American lobster, Northern lobster, Maine lobster, Homarus americanus
'123': spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish
'124': crayfish, crawfish, crawdad, crawdaddy
'125': hermit crab
'126': isopod
'127': white stork, Ciconia ciconia
'128': black stork, Ciconia nigra
'129': spoonbill
'130': flamingo
'131': little blue heron, Egretta caerulea
'132': American egret, great white heron, Egretta albus
'133': bittern
'134': crane
'135': limpkin, Aramus pictus
'136': European gallinule, Porphyrio porphyrio
'137': American coot, marsh hen, mud hen, water hen, Fulica americana
'138': bustard
'139': ruddy turnstone, Arenaria interpres
'140': red-backed sandpiper, dunlin, Erolia alpina
'141': redshank, Tringa totanus
'142': dowitcher
'143': oystercatcher, oyster catcher
'144': pelican
'145': king penguin, Aptenodytes patagonica
'146': albatross, mollymawk
'147': grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius
robustus
'148': killer whale, killer, orca, grampus, sea wolf, Orcinus orca
'149': dugong, Dugong dugon
'150': sea lion
'151': Chihuahua
'152': Japanese spaniel
'153': Maltese dog, Maltese terrier, Maltese
'154': Pekinese, Pekingese, Peke
'155': Shih-Tzu
'156': Blenheim spaniel
'157': papillon
'158': toy terrier
'159': Rhodesian ridgeback
'160': Afghan hound, Afghan
'161': basset, basset hound
'162': beagle
'163': bloodhound, sleuthhound
'164': bluetick
'165': black-and-tan coonhound
'166': Walker hound, Walker foxhound
'167': English foxhound
'168': redbone
'169': borzoi, Russian wolfhound
'170': Irish wolfhound
'171': Italian greyhound
'172': whippet
'173': Ibizan hound, Ibizan Podenco
'174': Norwegian elkhound, elkhound
'175': otterhound, otter hound
'176': Saluki, gazelle hound
'177': Scottish deerhound, deerhound
'178': Weimaraner
'179': Staffordshire bullterrier, Staffordshire bull terrier
'180': American Staffordshire terrier, Staffordshire terrier, American pit
bull terrier, pit bull terrier
'181': Bedlington terrier
'182': Border terrier
'183': Kerry blue terrier
'184': Irish terrier
'185': Norfolk terrier
'186': Norwich terrier
'187': Yorkshire terrier
'188': wire-haired fox terrier
'189': Lakeland terrier
'190': Sealyham terrier, Sealyham
'191': Airedale, Airedale terrier
'192': cairn, cairn terrier
'193': Australian terrier
'194': Dandie Dinmont, Dandie Dinmont terrier
'195': Boston bull, Boston terrier
'196': miniature schnauzer
'197': giant schnauzer
'198': standard schnauzer
'199': Scotch terrier, Scottish terrier, Scottie
'200': Tibetan terrier, chrysanthemum dog
'201': silky terrier, Sydney silky
'202': soft-coated wheaten terrier
'203': West Highland white terrier
'204': Lhasa, Lhasa apso
'205': flat-coated retriever
'206': curly-coated retriever
'207': golden retriever
'208': Labrador retriever
'209': Chesapeake Bay retriever
'210': German short-haired pointer
'211': vizsla, Hungarian pointer
'212': English setter
'213': Irish setter, red setter
'214': Gordon setter
'215': Brittany spaniel
'216': clumber, clumber spaniel
'217': English springer, English springer spaniel
'218': Welsh springer spaniel
'219': cocker spaniel, English cocker spaniel, cocker
'220': Sussex spaniel
'221': Irish water spaniel
'222': kuvasz
'223': schipperke
'224': groenendael
'225': malinois
'226': briard
'227': kelpie
'228': komondor
'229': Old English sheepdog, bobtail
'230': Shetland sheepdog, Shetland sheep dog, Shetland
'231': collie
'232': Border collie
'233': Bouvier des Flandres, Bouviers des Flandres
'234': Rottweiler
'235': German shepherd, German shepherd dog, German police dog, alsatian
'236': Doberman, Doberman pinscher
'237': miniature pinscher
'238': Greater Swiss Mountain dog
'239': Bernese mountain dog
'240': Appenzeller
'241': EntleBucher
'242': boxer
'243': bull mastiff
'244': Tibetan mastiff
'245': French bulldog
'246': Great Dane
'247': Saint Bernard, St Bernard
'248': Eskimo dog, husky
'249': malamute, malemute, Alaskan malamute
'250': Siberian husky
'251': dalmatian, coach dog, carriage dog
'252': affenpinscher, monkey pinscher, monkey dog
'253': basenji
'254': pug, pug-dog
'255': Leonberg
'256': Newfoundland, Newfoundland dog
'257': Great Pyrenees
'258': Samoyed, Samoyede
'259': Pomeranian
'260': chow, chow chow
'261': keeshond
'262': Brabancon griffon
'263': Pembroke, Pembroke Welsh corgi
'264': Cardigan, Cardigan Welsh corgi
'265': toy poodle
'266': miniature poodle
'267': standard poodle
'268': Mexican hairless
'269': timber wolf, grey wolf, gray wolf, Canis lupus
'270': white wolf, Arctic wolf, Canis lupus tundrarum
'271': red wolf, maned wolf, Canis rufus, Canis niger
'272': coyote, prairie wolf, brush wolf, Canis latrans
'273': dingo, warrigal, warragal, Canis dingo
'274': dhole, Cuon alpinus
'275': African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
'276': hyena, hyaena
'277': red fox, Vulpes vulpes
'278': kit fox, Vulpes macrotis
'279': Arctic fox, white fox, Alopex lagopus
'280': grey fox, gray fox, Urocyon cinereoargenteus
'281': tabby, tabby cat
'282': tiger cat
'283': Persian cat
'284': Siamese cat, Siamese
'285': Egyptian cat
'286': cougar, puma, catamount, mountain lion, painter, panther, Felis concolor
'287': lynx, catamount
'288': leopard, Panthera pardus
'289': snow leopard, ounce, Panthera uncia
'290': jaguar, panther, Panthera onca, Felis onca
'291': lion, king of beasts, Panthera leo
'292': tiger, Panthera tigris
'293': cheetah, chetah, Acinonyx jubatus
'294': brown bear, bruin, Ursus arctos
'295': American black bear, black bear, Ursus americanus, Euarctos americanus
'296': ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus
'297': sloth bear, Melursus ursinus, Ursus ursinus
'298': mongoose
'299': meerkat, mierkat
'300': tiger beetle
'301': ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
'302': ground beetle, carabid beetle
'303': long-horned beetle, longicorn, longicorn beetle
'304': leaf beetle, chrysomelid
'305': dung beetle
'306': rhinoceros beetle
'307': weevil
'308': fly
'309': bee
'310': ant, emmet, pismire
'311': grasshopper, hopper
'312': cricket
'313': walking stick, walkingstick, stick insect
'314': cockroach, roach
'315': mantis, mantid
'316': cicada, cicala
'317': leafhopper
'318': lacewing, lacewing fly
'319': dragonfly, darning needle, devil's darning needle, sewing needle,
snake feeder, snake doctor, mosquito hawk, skeeter hawk
'320': damselfly
'321': admiral
'322': ringlet, ringlet butterfly
'323': monarch, monarch butterfly, milkweed butterfly, Danaus plexippus
'324': cabbage butterfly
'325': sulphur butterfly, sulfur butterfly
'326': lycaenid, lycaenid butterfly
'327': starfish, sea star
'328': sea urchin
'329': sea cucumber, holothurian
'330': wood rabbit, cottontail, cottontail rabbit
'331': hare
'332': Angora, Angora rabbit
'333': hamster
'334': porcupine, hedgehog
'335': fox squirrel, eastern fox squirrel, Sciurus niger
'336': marmot
'337': beaver
'338': guinea pig, Cavia cobaya
'339': sorrel
'340': zebra
'341': hog, pig, grunter, squealer, Sus scrofa
'342': wild boar, boar, Sus scrofa
'343': warthog
'344': hippopotamus, hippo, river horse, Hippopotamus amphibius
'345': ox
'346': water buffalo, water ox, Asiatic buffalo, Bubalus bubalis
'347': bison
'348': ram, tup
'349': bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain
sheep, Ovis canadensis
'350': ibex, Capra ibex
'351': hartebeest
'352': impala, Aepyceros melampus
'353': gazelle
'354': Arabian camel, dromedary, Camelus dromedarius
'355': llama
'356': weasel
'357': mink
'358': polecat, fitch, foulmart, foumart, Mustela putorius
'359': black-footed ferret, ferret, Mustela nigripes
'360': otter
'361': skunk, polecat, wood pussy
'362': badger
'363': armadillo
'364': three-toed sloth, ai, Bradypus tridactylus
'365': orangutan, orang, orangutang, Pongo pygmaeus
'366': gorilla, Gorilla gorilla
'367': chimpanzee, chimp, Pan troglodytes
'368': gibbon, Hylobates lar
'369': siamang, Hylobates syndactylus, Symphalangus syndactylus
'370': guenon, guenon monkey
'371': patas, hussar monkey, Erythrocebus patas
'372': baboon
'373': macaque
'374': langur
'375': colobus, colobus monkey
'376': proboscis monkey, Nasalis larvatus
'377': marmoset
'378': capuchin, ringtail, Cebus capucinus
'379': howler monkey, howler
'380': titi, titi monkey
'381': spider monkey, Ateles geoffroyi
'382': squirrel monkey, Saimiri sciureus
'383': Madagascar cat, ring-tailed lemur, Lemur catta
'384': indri, indris, Indri indri, Indri brevicaudatus
'385': Indian elephant, Elephas maximus
'386': African elephant, Loxodonta africana
'387': lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens
'388': giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca
'389': barracouta, snoek
'390': eel
'391': coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus
kisutch
'392': rock beauty, Holocanthus tricolor
'393': anemone fish
'394': sturgeon
'395': gar, garfish, garpike, billfish, Lepisosteus osseus
'396': lionfish
'397': puffer, pufferfish, blowfish, globefish
'398': abacus
'399': abaya
'400': academic gown, academic robe, judge's robe
'401': accordion, piano accordion, squeeze box
'402': acoustic guitar
'403': aircraft carrier, carrier, flattop, attack aircraft carrier
'404': airliner
'405': airship, dirigible
'406': altar
'407': ambulance
'408': amphibian, amphibious vehicle
'409': analog clock
'410': apiary, bee house
'411': apron
'412': ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin,
dustbin, trash barrel, trash bin
'413': assault rifle, assault gun
'414': backpack, back pack, knapsack, packsack, rucksack, haversack
'415': bakery, bakeshop, bakehouse
'416': balance beam, beam
'417': balloon
'418': ballpoint, ballpoint pen, ballpen, Biro
'419': Band Aid
'420': banjo
'421': bannister, banister, balustrade, balusters, handrail
'422': barbell
'423': barber chair
'424': barbershop
'425': barn
'426': barometer
'427': barrel, cask
'428': barrow, garden cart, lawn cart, wheelbarrow
'429': baseball
'430': basketball
'431': bassinet
'432': bassoon
'433': bathing cap, swimming cap
'434': bath towel
'435': bathtub, bathing tub, bath, tub
'436': beach wagon, station wagon, wagon, estate car, beach waggon, station
waggon, waggon
'437': beacon, lighthouse, beacon light, pharos
'438': beaker
'439': bearskin, busby, shako
'440': beer bottle
'441': beer glass
'442': bell cote, bell cot
'443': bib
'444': bicycle-built-for-two, tandem bicycle, tandem
'445': bikini, two-piece
'446': binder, ring-binder
'447': binoculars, field glasses, opera glasses
'448': birdhouse
'449': boathouse
'450': bobsled, bobsleigh, bob
'451': bolo tie, bolo, bola tie, bola
'452': bonnet, poke bonnet
'453': bookcase
'454': bookshop, bookstore, bookstall
'455': bottlecap
'456': bow
'457': bow tie, bow-tie, bowtie
'458': brass, memorial tablet, plaque
'459': brassiere, bra, bandeau
'460': breakwater, groin, groyne, mole, bulwark, seawall, jetty
'461': breastplate, aegis, egis
'462': broom
'463': bucket, pail
'464': buckle
'465': bulletproof vest
'466': bullet train, bullet
'467': butcher shop, meat market
'468': cab, hack, taxi, taxicab
'469': caldron, cauldron
'470': candle, taper, wax light
'471': cannon
'472': canoe
'473': can opener, tin opener
'474': cardigan
'475': car mirror
'476': carousel, carrousel, merry-go-round, roundabout, whirligig
'477': carpenter's kit, tool kit
'478': carton
'479': car wheel
'480': cash machine, cash dispenser, automated teller machine, automatic
teller machine, automated teller, automatic teller, ATM
'481': cassette
'482': cassette player
'483': castle
'484': catamaran
'485': CD player
'486': cello, violoncello
'487': cellular telephone, cellular phone, cellphone, cell, mobile phone
'488': chain
'489': chainlink fence
'490': chain mail, ring mail, mail, chain armor, chain armour, ring armor,
ring armour
'491': chain saw, chainsaw
'492': chest
'493': chiffonier, commode
'494': chime, bell, gong
'495': china cabinet, china closet
'496': Christmas stocking
'497': church, church building
'498': cinema, movie theater, movie theatre, movie house, picture palace
'499': cleaver, meat cleaver, chopper
'500': cliff dwelling
'501': cloak
'502': clog, geta, patten, sabot
'503': cocktail shaker
'504': coffee mug
'505': coffeepot
'506': coil, spiral, volute, whorl, helix
'507': combination lock
'508': computer keyboard, keypad
'509': confectionery, confectionary, candy store
'510': container ship, containership, container vessel
'511': convertible
'512': corkscrew, bottle screw
'513': cornet, horn, trumpet, trump
'514': cowboy boot
'515': cowboy hat, ten-gallon hat
'516': cradle
'517': crane2
'518': crash helmet
'519': crate
'520': crib, cot
'521': Crock Pot
'522': croquet ball
'523': crutch
'524': cuirass
'525': dam, dike, dyke
'526': desk
'527': desktop computer
'528': dial telephone, dial phone
'529': diaper, nappy, napkin
'530': digital clock
'531': digital watch
'532': dining table, board
'533': dishrag, dishcloth
'534': dishwasher, dish washer, dishwashing machine
'535': disk brake, disc brake
'536': dock, dockage, docking facility
'537': dogsled, dog sled, dog sleigh
'538': dome
'539': doormat, welcome mat
'540': drilling platform, offshore rig
'541': drum, membranophone, tympan
'542': drumstick
'543': dumbbell
'544': Dutch oven
'545': electric fan, blower
'546': electric guitar
'547': electric locomotive
'548': entertainment center
'549': envelope
'550': espresso maker
'551': face powder
'552': feather boa, boa
'553': file, file cabinet, filing cabinet
'554': fireboat
'555': fire engine, fire truck
'556': fire screen, fireguard
'557': flagpole, flagstaff
'558': flute, transverse flute
'559': folding chair
'560': football helmet
'561': forklift
'562': fountain
'563': fountain pen
'564': four-poster
'565': freight car
'566': French horn, horn
'567': frying pan, frypan, skillet
'568': fur coat
'569': garbage truck, dustcart
'570': gasmask, respirator, gas helmet
'571': gas pump, gasoline pump, petrol pump, island dispenser
'572': goblet
'573': go-kart
'574': golf ball
'575': golfcart, golf cart
'576': gondola
'577': gong, tam-tam
'578': gown
'579': grand piano, grand
'580': greenhouse, nursery, glasshouse
'581': grille, radiator grille
'582': grocery store, grocery, food market, market
'583': guillotine
'584': hair slide
'585': hair spray
'586': half track
'587': hammer
'588': hamper
'589': hand blower, blow dryer, blow drier, hair dryer, hair drier
'590': hand-held computer, hand-held microcomputer
'591': handkerchief, hankie, hanky, hankey
'592': hard disc, hard disk, fixed disk
'593': harmonica, mouth organ, harp, mouth harp
'594': harp
'595': harvester, reaper
'596': hatchet
'597': holster
'598': home theater, home theatre
'599': honeycomb
'600': hook, claw
'601': hoopskirt, crinoline
'602': horizontal bar, high bar
'603': horse cart, horse-cart
'604': hourglass
'605': iPod
'606': iron, smoothing iron
'607': jack-o'-lantern
'608': jean, blue jean, denim
'609': jeep, landrover
'610': jersey, T-shirt, tee shirt
'611': jigsaw puzzle
'612': jinrikisha, ricksha, rickshaw
'613': joystick
'614': kimono
'615': knee pad
'616': knot
'617': lab coat, laboratory coat
'618': ladle
'619': lampshade, lamp shade
'620': laptop, laptop computer
'621': lawn mower, mower
'622': lens cap, lens cover
'623': letter opener, paper knife, paperknife
'624': library
'625': lifeboat
'626': lighter, light, igniter, ignitor
'627': limousine, limo
'628': liner, ocean liner
'629': lipstick, lip rouge
'630': Loafer
'631': lotion
'632': loudspeaker, speaker, speaker unit, loudspeaker system, speaker system
'633': loupe, jeweler's loupe
'634': lumbermill, sawmill
'635': magnetic compass
'636': mailbag, postbag
'637': mailbox, letter box
'638': maillot
'639': maillot, tank suit
'640': manhole cover
'641': maraca
'642': marimba, xylophone
'643': mask
'644': matchstick
'645': maypole
'646': maze, labyrinth
'647': measuring cup
'648': medicine chest, medicine cabinet
'649': megalith, megalithic structure
'650': microphone, mike
'651': microwave, microwave oven
'652': military uniform
'653': milk can
'654': minibus
'655': miniskirt, mini
'656': minivan
'657': missile
'658': mitten
'659': mixing bowl
'660': mobile home, manufactured home
'661': Model T
'662': modem
'663': monastery
'664': monitor
'665': moped
'666': mortar
'667': mortarboard
'668': mosque
'669': mosquito net
'670': motor scooter, scooter
'671': mountain bike, all-terrain bike, off-roader
'672': mountain tent
'673': mouse, computer mouse
'674': mousetrap
'675': moving van
'676': muzzle
'677': nail
'678': neck brace
'679': necklace
'680': nipple
'681': notebook, notebook computer
'682': obelisk
'683': oboe, hautboy, hautbois
'684': ocarina, sweet potato
'685': odometer, hodometer, mileometer, milometer
'686': oil filter
'687': organ, pipe organ
'688': oscilloscope, scope, cathode-ray oscilloscope, CRO
'689': overskirt
'690': oxcart
'691': oxygen mask
'692': packet
'693': paddle, boat paddle
'694': paddlewheel, paddle wheel
'695': padlock
'696': paintbrush
'697': pajama, pyjama, pj's, jammies
'698': palace
'699': panpipe, pandean pipe, syrinx
'700': paper towel
'701': parachute, chute
'702': parallel bars, bars
'703': park bench
'704': parking meter
'705': passenger car, coach, carriage
'706': patio, terrace
'707': pay-phone, pay-station
'708': pedestal, plinth, footstall
'709': pencil box, pencil case
'710': pencil sharpener
'711': perfume, essence
'712': Petri dish
'713': photocopier
'714': pick, plectrum, plectron
'715': pickelhaube
'716': picket fence, paling
'717': pickup, pickup truck
'718': pier
'719': piggy bank, penny bank
'720': pill bottle
'721': pillow
'722': ping-pong ball
'723': pinwheel
'724': pirate, pirate ship
'725': pitcher, ewer
'726': plane, carpenter's plane, woodworking plane
'727': planetarium
'728': plastic bag
'729': plate rack
'730': plow, plough
'731': plunger, plumber's helper
'732': Polaroid camera, Polaroid Land camera
'733': pole
'734': police van, police wagon, paddy wagon, patrol wagon, wagon, black
Maria
'735': poncho
'736': pool table, billiard table, snooker table
'737': pop bottle, soda bottle
'738': pot, flowerpot
'739': potter's wheel
'740': power drill
'741': prayer rug, prayer mat
'742': printer
'743': prison, prison house
'744': projectile, missile
'745': projector
'746': puck, hockey puck
'747': punching bag, punch bag, punching ball, punchball
'748': purse
'749': quill, quill pen
'750': quilt, comforter, comfort, puff
'751': racer, race car, racing car
'752': racket, racquet
'753': radiator
'754': radio, wireless
'755': radio telescope, radio reflector
'756': rain barrel
'757': recreational vehicle, RV, R.V.
'758': reel
'759': reflex camera
'760': refrigerator, icebox
'761': remote control, remote
'762': restaurant, eating house, eating place, eatery
'763': revolver, six-gun, six-shooter
'764': rifle
'765': rocking chair, rocker
'766': rotisserie
'767': rubber eraser, rubber, pencil eraser
'768': rugby ball
'769': rule, ruler
'770': running shoe
'771': safe
'772': safety pin
'773': saltshaker, salt shaker
'774': sandal
'775': sarong
'776': sax, saxophone
'777': scabbard
'778': scale, weighing machine
'779': school bus
'780': schooner
'781': scoreboard
'782': screen, CRT screen
'783': screw
'784': screwdriver
'785': seat belt, seatbelt
'786': sewing machine
'787': shield, buckler
'788': shoe shop, shoe-shop, shoe store
'789': shoji
'790': shopping basket
'791': shopping cart
'792': shovel
'793': shower cap
'794': shower curtain
'795': ski
'796': ski mask
'797': sleeping bag
'798': slide rule, slipstick
'799': sliding door
'800': slot, one-armed bandit
'801': snorkel
'802': snowmobile
'803': snowplow, snowplough
'804': soap dispenser
'805': soccer ball
'806': sock
'807': solar dish, solar collector, solar furnace
'808': sombrero
'809': soup bowl
'810': space bar
'811': space heater
'812': space shuttle
'813': spatula
'814': speedboat
'815': spider web, spider's web
'816': spindle
'817': sports car, sport car
'818': spotlight, spot
'819': stage
'820': steam locomotive
'821': steel arch bridge
'822': steel drum
'823': stethoscope
'824': stole
'825': stone wall
'826': stopwatch, stop watch
'827': stove
'828': strainer
'829': streetcar, tram, tramcar, trolley, trolley car
'830': stretcher
'831': studio couch, day bed
'832': stupa, tope
'833': submarine, pigboat, sub, U-boat
'834': suit, suit of clothes
'835': sundial
'836': sunglass
'837': sunglasses, dark glasses, shades
'838': sunscreen, sunblock, sun blocker
'839': suspension bridge
'840': swab, swob, mop
'841': sweatshirt
'842': swimming trunks, bathing trunks
'843': swing
'844': switch, electric switch, electrical switch
'845': syringe
'846': table lamp
'847': tank, army tank, armored combat vehicle, armoured combat vehicle
'848': tape player
'849': teapot
'850': teddy, teddy bear
'851': television, television system
'852': tennis ball
'853': thatch, thatched roof
'854': theater curtain, theatre curtain
'855': thimble
'856': thresher, thrasher, threshing machine
'857': throne
'858': tile roof
'859': toaster
'860': tobacco shop, tobacconist shop, tobacconist
'861': toilet seat
'862': torch
'863': totem pole
'864': tow truck, tow car, wrecker
'865': toyshop
'866': tractor
'867': trailer truck, tractor trailer, trucking rig, rig, articulated lorry,
semi
'868': tray
'869': trench coat
'870': tricycle, trike, velocipede
'871': trimaran
'872': tripod
'873': triumphal arch
'874': trolleybus, trolley coach, trackless trolley
'875': trombone
'876': tub, vat
'877': turnstile
'878': typewriter keyboard
'879': umbrella
'880': unicycle, monocycle
'881': upright, upright piano
'882': vacuum, vacuum cleaner
'883': vase
'884': vault
'885': velvet
'886': vending machine
'887': vestment
'888': viaduct
'889': violin, fiddle
'890': volleyball
'891': waffle iron
'892': wall clock
'893': wallet, billfold, notecase, pocketbook
'894': wardrobe, closet, press
'895': warplane, military plane
'896': washbasin, handbasin, washbowl, lavabo, wash-hand basin
'897': washer, automatic washer, washing machine
'898': water bottle
'899': water jug
'900': water tower
'901': whiskey jug
'902': whistle
'903': wig
'904': window screen
'905': window shade
'906': Windsor tie
'907': wine bottle
'908': wing
'909': wok
'910': wooden spoon
'911': wool, woolen, woollen
'912': worm fence, snake fence, snake-rail fence, Virginia fence
'913': wreck
'914': yawl
'915': yurt
'916': web site, website, internet site, site
'917': comic book
'918': crossword puzzle, crossword
'919': street sign
'920': traffic light, traffic signal, stoplight
'921': book jacket, dust cover, dust jacket, dust wrapper
'922': menu
'923': plate
'924': guacamole
'925': consomme
'926': hot pot, hotpot
'927': trifle
'928': ice cream, icecream
'929': ice lolly, lolly, lollipop, popsicle
'930': French loaf
'931': bagel, beigel
'932': pretzel
'933': cheeseburger
'934': hotdog, hot dog, red hot
'935': mashed potato
'936': head cabbage
'937': broccoli
'938': cauliflower
'939': zucchini, courgette
'940': spaghetti squash
'941': acorn squash
'942': butternut squash
'943': cucumber, cuke
'944': artichoke, globe artichoke
'945': bell pepper
'946': cardoon
'947': mushroom
'948': Granny Smith
'949': strawberry
'950': orange
'951': lemon
'952': fig
'953': pineapple, ananas
'954': banana
'955': jackfruit, jak, jack
'956': custard apple
'957': pomegranate
'958': hay
'959': carbonara
'960': chocolate sauce, chocolate syrup
'961': dough
'962': meat loaf, meatloaf
'963': pizza, pizza pie
'964': potpie
'965': burrito
'966': red wine
'967': espresso
'968': cup
'969': eggnog
'970': alp
'971': bubble
'972': cliff, drop, drop-off
'973': coral reef
'974': geyser
'975': lakeside, lakeshore
'976': promontory, headland, head, foreland
'977': sandbar, sand bar
'978': seashore, coast, seacoast, sea-coast
'979': valley, vale
'980': volcano
'981': ballplayer, baseball player
'982': groom, bridegroom
'983': scuba diver
'984': rapeseed
'985': daisy
'986': yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus,
Cypripedium parviflorum
'987': corn
'988': acorn
'989': hip, rose hip, rosehip
'990': buckeye, horse chestnut, conker
'991': coral fungus
'992': agaric
'993': gyromitra
'994': stinkhorn, carrion fungus
'995': earthstar
'996': hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola
frondosa
'997': bolete
'998': ear, spike, capitulum
'999': toilet tissue, toilet paper, bathroom tissue
- name: compressed_image
dtype: binary
- name: original_shape
sequence: int64
splits:
- name: train
num_bytes: 525148
num_examples: 100
- name: test
num_bytes: 534661
num_examples: 100
- name: validation
num_bytes: 679288
num_examples: 100
download_size: 1256335
dataset_size: 1739097
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
# Dataset Card for "imagenet_RDAE100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sundevil2023/Test | 2023-08-24T21:03:50.000Z | [
"region:us"
] | sundevil2023 | null | null | null | 0 | 0 | Entry not found |
P1ayer-1/annas-zlib3-index | 2023-08-24T21:21:00.000Z | [
"region:us"
] | P1ayer-1 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: aacid
dtype: string
- name: metadata
struct:
- name: zlibrary_id
dtype: int64
- name: date_added
dtype: string
- name: date_modified
dtype: string
- name: extension
dtype: string
- name: filesize_reported
dtype: int64
- name: md5_reported
dtype: string
- name: title
dtype: string
- name: author
dtype: string
- name: publisher
dtype: string
- name: language
dtype: string
- name: series
dtype: string
- name: volume
dtype: string
- name: edition
dtype: string
- name: year
dtype: string
- name: pages
dtype: string
- name: description
dtype: string
- name: cover_path
dtype: string
- name: isbns
sequence: string
- name: category_id
dtype: string
splits:
- name: train
num_bytes: 2163495791
num_examples: 2630955
download_size: 1175094406
dataset_size: 2163495791
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "annas-zlib3-index"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
YassineBenlaria/tq_ar_fr_clean | 2023-08-24T21:20:19.000Z | [
"region:us"
] | YassineBenlaria | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: tq
dtype: string
- name: ar
dtype: string
- name: fr
dtype: string
splits:
- name: train
num_bytes: 29546
num_examples: 395
download_size: 20257
dataset_size: 29546
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ta_ar_fr_clean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
hf-internal-testing/dataset_with_data_files | 2023-08-24T21:29:37.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | Entry not found |
gargolito/blogwriter | 2023-08-24T22:59:27.000Z | [
"region:us"
] | gargolito | null | null | null | 0 | 0 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.4.0
|
chilge/diff | 2023-08-27T04:55:30.000Z | [
"region:us"
] | chilge | null | null | null | 0 | 0 | Entry not found |
sundevil2023/Sample | 2023-08-24T22:17:36.000Z | [
"region:us"
] | sundevil2023 | null | null | null | 0 | 0 | Entry not found |
Precious1/Decoding-Text-Summarization-Most-Frequent-Words-and-Medical-Text-Detection | 2023-08-24T22:23:13.000Z | [
"license:bigscience-openrail-m",
"region:us"
] | Precious1 | null | null | null | 0 | 0 | ---
license: bigscience-openrail-m
---
|
pharaouk/test | 2023-08-24T22:23:39.000Z | [
"region:us"
] | pharaouk | null | null | null | 0 | 0 | Entry not found |
hf-internal-testing/audiofolder_no_configs_in_metadata | 2023-06-01T14:33:16.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | ---
duplicated_from: polinaeterna/audiofolder_no_configs_in_metadata
---
|
hf-internal-testing/audiofolder_single_config_in_metadata | 2023-06-02T19:10:17.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | ---
configs:
- config_name: custom
data_dir: v1
drop_labels: true
duplicated_from: polinaeterna/audiofolder_one_default_config_in_metadata
---
|
hf-internal-testing/audiofolder_two_configs_in_metadata | 2023-06-02T19:10:56.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | ---
configs:
- config_name: v1
data_dir: v1
drop_labels: true
- config_name: v2
data_dir: v2
drop_labels: false
duplicated_from: polinaeterna/audiofolder_two_configs_in_metadata
---
|
hf-internal-testing/audiofolder_two_configs_in_metadata_with_default | 2023-06-02T19:10:37.000Z | [
"region:us"
] | hf-internal-testing | null | null | null | 0 | 0 | ---
configs:
- config_name: v1
data_dir: v1
drop_labels: true
default: true
- config_name: v2
data_dir: v2
drop_labels: false
duplicated_from: datasets-maintainers/audiofolder_two_configs_in_metadata
---
|
nicbat/installbuttons | 2023-08-24T23:16:51.000Z | [
"region:us"
] | nicbat | null | null | null | 0 | 0 | Entry not found |
mrys13/mert | 2023-08-24T23:32:14.000Z | [
"region:us"
] | mrys13 | null | null | null | 0 | 0 | Entry not found |
maxolotl/wait3_en_es_llama | 2023-08-25T00:22:25.000Z | [
"region:us"
] | maxolotl | null | null | null | 0 | 0 | Entry not found |
TheStoneCoyote/B0ng | 2023-08-25T00:35:51.000Z | [
"region:us"
] | TheStoneCoyote | null | null | null | 0 | 0 | Entry not found |
oscorrea/scores-bin-curated-gpt4 | 2023-08-25T00:44:57.000Z | [
"region:us"
] | oscorrea | null | null | null | 0 | 0 | Entry not found |
oscorrea/scores-curated-gpt4-bin | 2023-08-25T00:52:30.000Z | [
"region:us"
] | oscorrea | null | null | null | 0 | 0 | Entry not found |
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