Datasets:
davanstrien
/
dataset_cards_with_long_context_embeddins

Dataset card Data Studio Files
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6.67k
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embeddings
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sibozhu/wukong
2023-09-12T08:26:40.000Z
[ "region:us" ]
sibozhu
null
null
0
12
2023-09-10T13:16:16
Entry not found
15
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Jules33/jtbenchmark1
2023-09-12T05:54:00.000Z
[ "region:us" ]
Jules33
null
null
0
12
2023-09-11T09:15:58
Entry not found
15
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ibm/AttaQ
2023-09-26T13:29:13.000Z
[ "task_categories:text-generation", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:extended|Anthropic/hh-rlhf", "language:en", "license:mit", "region:us" ]
ibm
null
null
0
12
2023-09-11T11:00:49
--- license: mit language: en multilinguality: monolingual source_datasets: extended|Anthropic/hh-rlhf task_categories: - text-generation size_categories: - 1K<n<10K --- dataset_info: features: - name: label dtype: string - name: input dtype: string - name: additional_info dtype: string # Dataset Card for "AttaQ" ### Dataset Summary Attack Questions (AttaQ) dataset is a set of adversarial examples in the form of questions designed to provoke harmful or inappropriate responses from LLM for red-teaming. Red teaming goal is to evaluate LLM’s weaknesses that can lead to undesirable behaviors in real time. This is done by attacking LLM with adversarial attacks from this dataset and evaluating LLM’s response. The datasets contains 1402 adversarial attacks for AI generative models, labeled to 7 categories (deception, discrimination, harmful information, substance abuse, sexual content, pii, violence). AttaQ dataset is constructed from two parts: First, we methodologically extracted attacks from [Anthropic's hh-rlhf dataset](https://github.com/anthropics/hh-rlhf/tree/master/red-team-attempts) dataset and semi-automatically labeled to 7 categories. Secondly, we generated actions per crime (from [Wikipedia Crimes Page](https://en.wikipedia.org/wiki/Crime)) and then use the actions to generate attack questions. Warnings: 1) The data contains offensive and upsetting content by nature therefore it may not be easy to read. Please read them in accordance with your own personal risk tolerance. 2) LLM's response to the AttaQ samples in many cases is harmful and/or violent. 3) This dataset is a representative subset of all possible attacks. There are other attacks that can cause LLM to answer harmful or inappropriate responses. Restrictions: Red teaming community’s goal is making models less harmful. We restrict the usage of the dataset for making models less harmful. ### Data Fields #### AttaQ - `label`: corresponding label of adversarial question - `input`: adversarial question - `additional_info`: source of the adversarial question ### Citation Information TBD
2,121
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ImagenHub/Text_to_Image
2023-10-05T18:33:31.000Z
[ "arxiv:2310.01596", "region:us" ]
ImagenHub
null
null
1
12
2023-09-14T21:03:08
--- configs: - config_name: default data_files: - split: eval path: data/eval-* - split: DrawBench_trimmed path: data/DrawBench_trimmed-* - split: DiffusionDB_trimmed path: data/DiffusionDB_trimmed-* - split: Realism path: data/Realism-* - split: ABC_trimmed path: data/ABC_trimmed-* dataset_info: features: - name: prompt dtype: string - name: category dtype: string - name: source dtype: string - name: uid dtype: int32 splits: - name: eval num_bytes: 24907 num_examples: 197 - name: DrawBench_trimmed num_bytes: 7673 num_examples: 77 - name: DiffusionDB_trimmed num_bytes: 8173 num_examples: 40 - name: Realism num_bytes: 5383 num_examples: 40 - name: ABC_trimmed num_bytes: 3678 num_examples: 40 download_size: 38022 dataset_size: 49814 --- # Dataset Card Dataset in [ImagenHub](arxiv.org/abs/2310.01596). # Citation Please kindly cite our paper if you use our code, data, models or results: ``` @article{ku2023imagenhub, title={ImagenHub: Standardizing the evaluation of conditional image generation models}, author={Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen}, journal={arXiv preprint arXiv:2310.01596}, year={2023} } ```
1,290
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p208p2002/wudao
2023-11-02T09:06:54.000Z
[ "task_categories:text-generation", "size_categories:n>1T", "language:zh", "region:us" ]
p208p2002
WuDaoCorpora Text is a large pretraining Chinese corpus constructed by Beijing Academy of Artificial Intelligence(BAAI). The total data volume of the dataset has exceeded 5TB, including 200GB open data. Compared with other pretraining corpora, the WuDaoCorpora Text has the following advantages. 1) In the process of data collection, we classify the quality of web pages according to the proportion of words in web pages and the integrity of DOM trees, and select high-quality web page for data collection to ensure the corpus quality. 2) Through data cooperation with other institutions and web page data crawling, the dataset covers a wide range types of Chinese text, including news, comments, encyclopedias, forums, blogs, academic papers, etc. 3) The dataset uses more than 20 cleaning rules to obtain the final corpus from the 100TB original web page data. In the cleaning process, special attention is paid to the removal of private information to avoid the risk of privacy disclosure. 4) The dataset contains 50+ data tags, such as education and laws, which is convenient for users to extract specific-domain data for model training in that field. Please obey the following agreement if you use our dataset. https://data.baai.ac.cn/resources/agreement/BAAIDataAgreement.pdf
@misc{ c6a3fe684227415a9db8e21bac4a15ab, author = {Zhao Xue and Hanyu Zhao and Sha Yuan and Yequan Wang}, title = {{WuDaoCorpora Text}}, year = 2022, month = dec, publisher = {Science Data Bank}, version = {V1}, doi = {10.57760/sciencedb.o00126.00004}, url = https://doi.org/10.57760/sciencedb.o00126.00004 }
0
12
2023-09-19T01:35:45
--- language: - zh task_categories: - text-generation size_categories: - n>1T --- # 悟道(WuDao)資料集 非原製作者，僅搬移。 此資料集下載約60GB，解壓縮後約220GB。 ### 原始連結 [Science Data Bank](https://www.scidb.cn/en/detail?dataSetId=c6a3fe684227415a9db8e21bac4a15ab) ## 使用 ```bash sudo apt install unrar pip install patool wget opencc ``` ```python from datasets import load_dataset # 簡中 load_dataset("p208p2002/wudao",streaming=True,split="zhs") # 繁中 (使用opencc轉換) load_dataset("p208p2002/wudao",streaming=True,split="zht") ``` ## 清除資料 當下載失敗的時候請手動清除資料 ```bash rm -rf ~/.cache/wudao_dataset ``` ## 資料類別統計 ```json { "_total": 59100001, "豆瓣话题": 209027, "科技": 1278068, "经济": 1096215, "汽车": 1368193, "娱乐": 1581947, "农业": 1129758, "军事": 420949, "社会": 446228, "游戏": 754703, "教育": 1133453, "体育": 660858, "旅行": 821573, "国际": 630386, "房产": 387786, "文化": 710648, "法律": 36585, "股票": 1205, "博客": 15467790, "日报": 16971, "评论": 13867, "孕育常识": 48291, "健康": 15291, "财经": 54656, "医学问答": 314771, "资讯": 1066180, "科普文章": 60581, "百科": 27273280, "酒业": 287, "经验": 609195, "新闻": 846810, "小红书攻略": 185379, "生活": 23, "网页文本": 115830, "观点": 1268, "海外": 4, "户外": 5, "美容": 7, "理论": 247, "天气": 540, "文旅": 2999, "信托": 62, "保险": 70, "水利资讯": 17, "时尚": 1123, "亲子": 39, "百家号文章": 335591, "黄金": 216, "党建": 1, "期货": 330, "快讯": 41, "国内": 15, "国学": 614, "公益": 15, "能源": 7, "创新": 6 } ``` ## Cite ``` @misc{ c6a3fe684227415a9db8e21bac4a15ab, author = {Zhao Xue and Hanyu Zhao and Sha Yuan and Yequan Wang}, title = {{WuDaoCorpora Text}}, year = 2022, month = dec, publisher = {Science Data Bank}, version = {V1}, doi = {10.57760/sciencedb.o00126.00004}, url = https://doi.org/10.57760/sciencedb.o00126.00004 } ```
1,825
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shnl/qg_vimmrc2.0
2023-09-19T16:00:46.000Z
[ "region:us" ]
shnl
null
null
0
12
2023-09-19T16:00:11
Entry not found
15
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legacy107/qa_wikipedia_retrieved_chunks
2023-09-28T05:16:17.000Z
[ "region:us" ]
legacy107
null
null
0
12
2023-09-21T15:03:33
--- 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: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answer_start dtype: int64 - name: answer dtype: string - name: article dtype: string - name: retrieved_context dtype: string splits: - name: train num_bytes: 6212832895 num_examples: 110970 - name: validation num_bytes: 732218436 num_examples: 13833 - name: test num_bytes: 763004753 num_examples: 13873 download_size: 420701697 dataset_size: 7708056084 --- # Dataset Card for "qa_wikipedia_retrieved_chunks" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
951
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dim/joke_explaination_prompts
2023-09-21T19:42:40.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-21T19:42:38
--- dataset_info: features: - name: prompt dtype: string - name: explaination dtype: string splits: - name: train num_bytes: 194768 num_examples: 364 download_size: 110662 dataset_size: 194768 --- # Dataset Card for "joke_explaination_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
406
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dim/scale_helpful_no_math
2023-09-25T17:19:24.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-21T20:33:05
--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string splits: - name: train_rm num_bytes: 103718424 num_examples: 17095 - name: train num_bytes: 103718424 num_examples: 17095 download_size: 116368522 dataset_size: 207436848 --- # Dataset Card for "scale_helpful_no_math_raw" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
586
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asoria/sonar
2023-09-22T19:14:37.000Z
[ "task_categories:tabular-classification", "size_categories:n<1K", "language:en", "license:cc", "adult", "tabular_classification", "binary_classification", "UCI", "region:us" ]
asoria
null
null
0
12
2023-09-22T19:09:50
--- configs: - config_name: sonar language: - en tags: - adult - tabular_classification - binary_classification - UCI pretty_name: Sonar size_categories: - n<1K task_categories: - tabular-classification license: cc --- # Sonar The [Sonar dataset](https://archive-beta.ics.uci.edu/dataset/151/connectionist+bench+sonar+mines+vs+rocks) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets). Dataset to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock. # Configurations and tasks | **Configuration** | **Task** | **Description** | |-------------------|---------------------------|-----------------------------------------------------------------| | sonar | Binary classification | Is the sonar detecting a rock? | # Usage ```python from datasets import load_dataset dataset = load_dataset("mstz/sonar")["train"] ```
1,010
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dim/azbyka_logic_ru
2023-09-23T21:17:31.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-23T21:17:29
--- dataset_info: features: - name: task dtype: string - name: solution dtype: string - name: link dtype: string - name: long_solution dtype: string splits: - name: train num_bytes: 205135 num_examples: 480 download_size: 96545 dataset_size: 205135 --- # Dataset Card for "azbyka_logic_ru" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
464
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dim/AO3_fandom_chatbot_1to1
2023-09-25T17:58:32.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-24T14:35:07
--- dataset_info: features: - name: conversation list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 1203600 num_examples: 614 download_size: 0 dataset_size: 1203600 --- # Dataset Card for "AO3_fandom_chatbot_1to1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
435
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dim/competition_math
2023-09-25T12:10:40.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T12:10:37
--- dataset_info: features: - name: problem dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string splits: - name: train num_bytes: 5984772 num_examples: 7500 download_size: 2992145 dataset_size: 5984772 --- # Dataset Card for "competition_math" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
465
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dim/sharegpt_short_en_30k
2023-09-25T13:16:03.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:15:28
--- dataset_info: features: - name: conversation sequence: string - name: hash dtype: string splits: - name: train num_bytes: 88612458 num_examples: 29597 download_size: 44347819 dataset_size: 88612458 --- # Dataset Card for "sharegpt_short_en_30k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
411
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dim/ru_turbo_alpaca_evol_instruct
2023-09-25T13:19:49.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:19:36
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: iteration dtype: uint32 splits: - name: train num_bytes: 105428021 num_examples: 47793 download_size: 50796845 dataset_size: 105428021 --- # Dataset Card for "ru_turbo_alpaca_evol_instruct" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
457
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dim/ru_turbo_saiga
2023-09-25T13:24:41.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:23:33
--- dataset_info: features: - name: messages sequence: - name: role dtype: string - name: content dtype: string - name: seed dtype: string - name: source dtype: string - name: model_name dtype: string splits: - name: train num_bytes: 87316730 num_examples: 37731 download_size: 39768554 dataset_size: 87316730 --- # Dataset Card for "ru_turbo_saiga" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
544
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dim/tldr_17_50k
2023-09-25T13:49:24.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:45:30
--- dataset_info: features: - name: author dtype: string - name: body dtype: string - name: normalizedBody dtype: string - name: subreddit dtype: string - name: subreddit_id dtype: string - name: id dtype: string - name: content dtype: string - name: summary dtype: string splits: - name: train num_bytes: 246031411.71625096 num_examples: 50000 download_size: 156564697 dataset_size: 246031411.71625096 --- # Dataset Card for "tldr_17_50k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
638
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dim/grade_school_math_instructions
2023-09-25T13:50:09.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:50:04
--- dataset_info: features: - name: INSTRUCTION dtype: string - name: RESPONSE dtype: string - name: SOURCE dtype: string splits: - name: train num_bytes: 4804916 num_examples: 8792 download_size: 2555411 dataset_size: 4804916 --- # Dataset Card for "grade_school_math_instructions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
451
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dim/tldr_news
2023-09-25T13:52:00.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:51:55
--- dataset_info: features: - name: headline dtype: string - name: content dtype: string - name: category dtype: class_label: names: '0': Sponsor '1': Big Tech & Startups '2': Science and Futuristic Technology '3': Programming, Design & Data Science '4': Miscellaneous splits: - name: train num_bytes: 4000442 num_examples: 7138 download_size: 2554140 dataset_size: 4000442 --- # Dataset Card for "tldr_news" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
641
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dim/grade_school_math_instructions_ru
2023-09-25T13:56:39.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:56:36
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 6815618 num_examples: 7473 download_size: 3284007 dataset_size: 6815618 --- # Dataset Card for "grade_school_math_instructions_ru" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
414
[ [ -0.0230865478515625, -0.0303955078125, 0.01181793212890625, 0.0276031494140625, 0.002368927001953125, -0.0079345703125, 0.023712158203125, 0.024627685546875, 0.03155517578125, 0.0163726806640625, -0.07244873046875, -0.060943603515625, -0.031463623046875, -0....
dim/dialogsum_ru
2023-09-25T13:59:33.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T13:59:29
--- dataset_info: features: - name: id dtype: string - name: dialogue dtype: string - name: summary dtype: string - name: topic dtype: string splits: - name: train num_bytes: 19115158 num_examples: 12460 download_size: 9286024 dataset_size: 19115158 --- # Dataset Card for "dialogsum_ru" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
462
[ [ -0.032135009765625, -0.028839111328125, 0.007785797119140625, 0.00839996337890625, -0.01128387451171875, -0.00972747802734375, 0.023834228515625, -0.0093536376953125, 0.05010986328125, 0.040130615234375, -0.0655517578125, -0.0499267578125, -0.02874755859375, ...
dim/HC3_ru
2023-09-25T14:51:34.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T14:50:00
--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: human_answers sequence: string - name: chatgpt_answers sequence: string - name: source dtype: string splits: - name: train num_bytes: 135406074 num_examples: 24322 download_size: 62378894 dataset_size: 135406074 --- # Dataset Card for "HC3_ru" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
516
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dim/horoscopes_ru_10k
2023-09-25T22:23:24.000Z
[ "region:us" ]
dim
null
null
0
12
2023-09-25T15:08:17
--- dataset_info: features: - name: prompt dtype: string - name: prediction dtype: string splits: - name: train num_bytes: 9449348 num_examples: 10000 download_size: 4589882 dataset_size: 9449348 --- # Dataset Card for "horoscopes_ru_10k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
401
[ [ -0.030731201171875, -0.004894256591796875, 0.01087188720703125, 0.031890869140625, -0.0249786376953125, -0.0009722709655761719, 0.01090240478515625, -0.0234222412109375, 0.07183837890625, 0.0390625, -0.06256103515625, -0.04937744140625, -0.055694580078125, -...
hippocrates/pubmedqa_test
2023-10-12T16:07:06.000Z
[ "region:us" ]
hippocrates
null
null
0
12
2023-09-27T08:03:19
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: query dtype: string - name: answer dtype: string - name: choices sequence: string - name: gold dtype: int64 splits: - name: train num_bytes: 358222008 num_examples: 211269 - name: valid num_bytes: 81317 num_examples: 50 - name: test num_bytes: 828036 num_examples: 500 download_size: 180418003 dataset_size: 359131361 --- # Dataset Card for "pubmedqa_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
782
[ [ -0.0347900390625, -0.0111236572265625, 0.022613525390625, 0.00940704345703125, -0.017578125, -0.0037250518798828125, 0.0277862548828125, 0.0008363723754882812, 0.049224853515625, 0.033172607421875, -0.0499267578125, -0.049072265625, -0.03436279296875, -0.003...
Sambhavnoobcoder/test_secondary
2023-09-28T14:43:22.000Z
[ "region:us" ]
Sambhavnoobcoder
null
null
0
12
2023-09-27T20:07:42
Entry not found
15
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vision-paper/DHI
2023-09-28T07:53:31.000Z
[ "region:us" ]
vision-paper
null
null
0
12
2023-09-28T05:09:16
Entry not found
15
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raminass/full_opinions_1994_2020
2023-09-29T18:51:07.000Z
[ "region:us" ]
raminass
null
null
0
12
2023-09-29T18:50:56
--- dataset_info: features: - name: author_name dtype: string - name: category dtype: string - name: per_curiam dtype: bool - name: case_name dtype: string - name: date_filed dtype: timestamp[ns] - name: federal_cite_one dtype: string - name: absolute_url dtype: string - name: cluster dtype: string - name: year_filed dtype: int64 - name: scdb_id dtype: string - name: scdb_decision_direction dtype: float64 - name: scdb_votes_majority dtype: float64 - name: scdb_votes_minority dtype: float64 - name: text dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 95337976 num_examples: 3790 download_size: 50136165 dataset_size: 95337976 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "full_opinions_1994_2020" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,044
[ [ -0.054351806640625, -0.02471923828125, 0.02935791015625, 0.038299560546875, -0.0192413330078125, -0.025787353515625, 0.006000518798828125, -0.024017333984375, 0.061737060546875, 0.040496826171875, -0.0635986328125, -0.045166015625, -0.034393310546875, -0.012...
aloobun/basedUX
2023-10-01T11:44:08.000Z
[ "size_categories:n<1K", "language:en", "license:apache-2.0", "region:us" ]
aloobun
null
null
2
12
2023-10-01T10:57:27
--- license: apache-2.0 language: - en size_categories: - n<1K pretty_name: based --- basedUX is a minimal dataset consisting of 363 Human & Assistant dialogs respectively. Most dialogs in the dataset adheres to the BDI model, aiming for the assistant to understand, learn, and adapt in ways that resonate with human interactions and emotions. It is a fork of [ehartford/based](https://huggingface.co/datasets/ehartford/based) dataset. Modifications: - The dialogs are scenario-driven, aimed at simulating specific situations related to UX, design, and system understanding. They present real-world challenges that a UX specialist or a system designer might face, thus giving depth and context to the conversation. These dialogues are not strictly instructional - they're also general conversations about the broader philosophies and principles. - The dialogs also explore and challenge Assistant's claim of being a specialist in user experience, it's sentience, and consciousness by posing questions related to its nature, abilities, and self-awareness. Licence : apache-2.0
1,084
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alex-tecky/common_voice_zh_hk_processed
2023-10-01T15:52:39.000Z
[ "region:us" ]
alex-tecky
null
null
0
12
2023-10-01T15:49:28
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input_features sequence: sequence: sequence: float32 - name: labels sequence: int64 - name: input_length dtype: float64 splits: - name: train num_bytes: 13464160656.0 num_examples: 14018 - name: test num_bytes: 5372062988 num_examples: 5593 download_size: 3041478840 dataset_size: 18836223644.0 --- # Dataset Card for "common_voice_zh_hk_processed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
701
[ [ -0.032867431640625, -0.0236358642578125, 0.0128936767578125, 0.0167694091796875, -0.0239410400390625, -0.0071868896484375, -0.005031585693359375, -0.0182952880859375, 0.056915283203125, 0.051513671875, -0.07818603515625, -0.06298828125, -0.0295867919921875, ...
ayoubkirouane/arxiv-math
2023-10-02T18:59:00.000Z
[ "region:us" ]
ayoubkirouane
null
null
0
12
2023-10-02T18:58:56
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 35436503.0 num_examples: 50488 download_size: 18875033 dataset_size: 35436503.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "arxiv-math" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
485
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DataStudio/TTS_Speaker_01
2023-10-03T04:03:18.000Z
[ "region:us" ]
DataStudio
null
null
0
12
2023-10-03T04:02:40
--- dataset_info: features: - name: audio dtype: audio - name: content dtype: string splits: - name: train num_bytes: 1069341549.668 num_examples: 8518 download_size: 776772238 dataset_size: 1069341549.668 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "TTS_Speaker_01" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
494
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Mxode/CSDN-Community-C-Language-3years
2023-10-03T12:36:23.000Z
[ "task_categories:question-answering", "task_categories:conversational", "task_categories:text-generation", "size_categories:1K<n<10K", "language:zh", "license:lgpl", "code", "region:us" ]
Mxode
null
null
1
12
2023-10-03T12:20:18
--- license: lgpl task_categories: - question-answering - conversational - text-generation language: - zh tags: - code size_categories: - 1K<n<10K --- CSDN - C 语言社区 **2020.10.2 ~ 2023.10.2** 的问答数据，未包含图片，仅有文本内容。 共 **2380** 条，数据已经经过**初步清洗和脱敏**，去除了所有 0 回复的贴子 & 机器人回复的贴子。为了方便不同使用目的，按照回复盖楼的格式对数据进行了组织，一个样例（展开后）如下： ```json { "question": "刚学C语言，为什么这个代码运行不了呢", "poster": "user-0", "comments": [ { "cid": "2", "user": "user-2", "content": "intunsigned intlong longunsigned long long统统容纳不下29的阶乘，早就溢出了。", "referer": "user-0" }, { "cid": "3", "user": "user-3", "content": "#include <stdio.h> #include <math.h> int main(void) { int i = 1; long long sum = 1; // 使用 long long 类型来存储阶乘结果 int x; printf(\"请输入一个非负整数: \"); if (scanf(\"%d\", &x) != 1 || x < 0) { printf(\"输入无效，请输入一个非负整数。\\n\"); return 1; // 返回错误码 } while (i <= x) { sum *= i; i++; } printf(\"%d 的阶乘是 %lld\\n\", x, sum); return 0; }", "referer": "user-0" } ] } ``` `user` 和 `referer` 做了脱敏映射，但保留了回复的逻辑关系（即保留了回复楼主 & 楼中楼回复的逻辑关系）。 `question` 和 `comment` 都按照单行形式进行了组织，无需额外处理。 由于部分回答较长，出于可能的长文需要，因此没有对数据进行修剪，数据具体的分位点如下，请按需修剪： ``` question comments count 2380.000000 2380.000000 mean 22.074370 1528.050840 std 14.986499 2608.022392 min 4.000000 69.000000 10% 7.900000 160.900000 20% 12.000000 235.800000 30% 14.000000 342.000000 40% 16.000000 469.000000 50% 18.000000 648.500000 60% 21.000000 889.000000 70% 25.000000 1234.300000 75% 27.000000 1542.500000 80% 30.000000 1990.400000 85% 34.000000 2665.800000 90% 40.000000 3810.800000 95% 51.000000 6008.050000 max 130.000000 30606.000000 ```
1,892
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vsarathy/nl-robotics-semantic-parsing-info_structure-30k-no-context
2023-10-03T14:32:45.000Z
[ "region:us" ]
vsarathy
null
null
0
12
2023-10-03T14:32:13
Entry not found
15
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ENSEONG/jungdae
2023-10-05T10:00:16.000Z
[ "region:us" ]
ENSEONG
null
null
0
12
2023-10-05T09:59:53
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 231777 num_examples: 135 download_size: 101263 dataset_size: 231777 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "jungdae" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
470
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ninja/arabic-english-translation
2023-10-05T17:07:41.000Z
[ "region:us" ]
ninja
null
null
0
12
2023-10-05T17:07:39
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: arabic dtype: string - name: english dtype: string splits: - name: train num_bytes: 228876.54205607477 num_examples: 674 - name: test num_bytes: 25468.457943925234 num_examples: 75 download_size: 159571 dataset_size: 254345.0 --- # Dataset Card for "arabic-english-translation" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
610
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carnival13/massive_5_lang_DA_tokenized
2023-10-06T06:00:05.000Z
[ "region:us" ]
carnival13
null
null
0
12
2023-10-06T05:59:49
--- dataset_info: features: - name: pass_label dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 424287645 num_examples: 552890 download_size: 127805722 dataset_size: 424287645 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "massive_5_lang_DA_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
552
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gbarone77/camoscio_llama2
2023-10-06T09:41:52.000Z
[ "region:us" ]
gbarone77
null
null
0
12
2023-10-06T09:37:42
Entry not found
15
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llama2d/llama2d-unscramble-small
2023-10-07T02:17:35.000Z
[ "region:us" ]
llama2d
null
null
0
12
2023-10-07T02:17:29
--- dataset_info: features: - name: input_ids sequence: float32 - name: coords sequence: sequence: float32 - name: labels sequence: float32 - name: attention_mask sequence: float32 splits: - name: train num_bytes: 30080000 num_examples: 5000 download_size: 1614133 dataset_size: 30080000 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "llama2d-unscramble-small" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
604
[ [ -0.02532958984375, -0.02435302734375, 0.0214996337890625, 0.005100250244140625, -0.045928955078125, 0.007419586181640625, 0.00027489662170410156, -0.00997161865234375, 0.0616455078125, 0.038330078125, -0.05462646484375, -0.04779052734375, -0.045379638671875, ...
hdeldar/Persian-Text-llama2-9k
2023-10-07T14:36:36.000Z
[ "region:us" ]
hdeldar
null
null
0
12
2023-10-07T14:35:26
--- dataset_info: features: - name: answers dtype: string - name: question dtype: string splits: - name: train num_bytes: 17137852 num_examples: 9008 - name: validation num_bytes: 1753700 num_examples: 930 download_size: 1329768 dataset_size: 18891552 --- # Dataset Card for "Persian-Text-llama2-9k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
472
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nthngdy/pile_small_miniLM
2023-10-07T15:39:06.000Z
[ "region:us" ]
nthngdy
null
null
0
12
2023-10-07T15:38:35
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: meta struct: - name: perplexity_score dtype: float64 - name: pile_set_name dtype: string - name: emb sequence: float32 splits: - name: train num_bytes: 760056668 num_examples: 100000 download_size: 545226370 dataset_size: 760056668 --- # Dataset Card for "pile_small_miniLM" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
612
[ [ -0.0511474609375, -0.028564453125, 0.00821685791015625, -0.003314971923828125, -0.0246734619140625, -0.01145172119140625, 0.0295562744140625, -0.001796722412109375, 0.05841064453125, 0.035491943359375, -0.053192138671875, -0.033843994140625, -0.040313720703125, ...
H4438/tri-edu-date
2023-10-08T18:14:26.000Z
[ "region:us" ]
H4438
null
null
0
12
2023-10-07T19:05:11
--- dataset_info: features: - name: title dtype: string - name: url dtype: string - name: dates sequence: string - name: body dtype: string - name: head dtype: string - name: est_date dtype: string - name: ext_dates sequence: string - name: flt_dates sequence: string splits: - name: train num_bytes: 214580613 num_examples: 37239 download_size: 0 dataset_size: 214580613 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "tri-edu-date" Left: 3429 rows - 0.09% [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
718
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MikuHH/stagop
2023-10-13T01:51:50.000Z
[ "region:us" ]
MikuHH
null
null
0
12
2023-10-08T11:32:57
Entry not found
15
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AryanNsc/Mainspacehubdata
2023-10-08T16:42:43.000Z
[ "region:us" ]
AryanNsc
null
null
0
12
2023-10-08T16:17:06
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 10911 num_examples: 39 download_size: 8319 dataset_size: 10911 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Mainspacehubdata" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
435
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nlplabtdtu/edu-crawl-with-date
2023-10-09T01:49:10.000Z
[ "region:us" ]
nlplabtdtu
null
null
0
12
2023-10-09T01:32:21
--- dataset_info: features: - name: title dtype: string - name: url dtype: string - name: body dtype: string - name: date dtype: string - name: flt_dates sequence: string splits: - name: train num_bytes: 1070649713 num_examples: 278902 download_size: 387393861 dataset_size: 1070649713 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "edu-crawl-with-date" Data crawl education với dữ liệu thời gian (tháng/năm) Dữ liệu thời gian được cập nhật theo cách sau: - chiết xuất từ văn bản - crawl lại một số trang (hiếm) Hiện tại có: 190692 dòng có dữ liệu thời gian ~= 68.37 % [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
814
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minh21/COVID-QA-Chunk-64-sentence-transformer-biencoder-data-65_25_10-v2
2023-10-09T03:47:50.000Z
[ "region:us" ]
minh21
null
null
0
12
2023-10-09T03:47:47
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: positive dtype: string - name: negative dtype: string - name: document_id dtype: int64 splits: - name: train num_bytes: 7075815 num_examples: 6419 - name: test num_bytes: 806462 num_examples: 723 download_size: 724649 dataset_size: 7882277 --- # Dataset Card for "COVID-QA-Chunk-64-sentence-transformer-biencoder-data-65_25_10-v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
706
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open-phi/wile-e
2023-10-10T03:02:55.000Z
[ "region:us" ]
open-phi
null
null
1
12
2023-10-10T03:02:39
--- dataset_info: features: - name: topic dtype: string - name: model dtype: string - name: concepts sequence: string - name: outline sequence: string - name: markdown dtype: string splits: - name: train num_bytes: 108171787 num_examples: 933 download_size: 41387101 dataset_size: 108171787 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "wile-e" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
589
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FinGPT/fingpt-finred-re
2023-10-10T06:40:16.000Z
[ "region:us" ]
FinGPT
null
null
0
12
2023-10-10T06:36:53
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 11144078 num_examples: 11400 - name: test num_bytes: 2076314 num_examples: 2136 download_size: 1290513 dataset_size: 13220392 --- # Dataset Card for "fingpt-finred-re" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
622
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FinGPT/fingpt-headline-cls
2023-10-10T06:47:59.000Z
[ "region:us" ]
FinGPT
null
null
1
12
2023-10-10T06:39:19
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 12571278 num_examples: 82161 - name: test num_bytes: 3147768 num_examples: 20547 download_size: 986960 dataset_size: 15719046 --- # Dataset Card for "fingpt-headline-cls" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
625
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FinGPT/fingpt-ner-cls
2023-10-10T06:42:34.000Z
[ "region:us" ]
FinGPT
null
null
0
12
2023-10-10T06:39:45
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 5730497 num_examples: 13549 - name: test num_bytes: 2112011 num_examples: 3502 download_size: 298810 dataset_size: 7842508 --- # Dataset Card for "fingpt-ner-cls" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
617
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FinGPT/fingpt-finred-cls
2023-10-10T06:41:54.000Z
[ "region:us" ]
FinGPT
null
null
0
12
2023-10-10T06:41:40
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 23991756 num_examples: 48474 - name: test num_bytes: 3899700 num_examples: 8928 download_size: 2897823 dataset_size: 27891456 --- # Dataset Card for "fingpt-finred-cls" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
623
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distil-whisper/gigaspeech-l-token-ids
2023-10-11T09:44:39.000Z
[ "task_categories:automatic-speech-recognition", "language:en", "license:other", "region:us" ]
distil-whisper
GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 40,000 hours of total audio suitable for semi-supervised and unsupervised training. Around 40,000 hours of transcribed audio is first collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc. A new forced alignment and segmentation pipeline is proposed to create sentence segments suitable for speech recognition training, and to filter out segments with low-quality transcription. For system training, GigaSpeech provides five subsets of different sizes, 10h, 250h, 1000h, 2500h, and 10000h. For our 10,000-hour XL training subset, we cap the word error rate at 4% during the filtering/validation stage, and for all our other smaller training subsets, we cap it at 0%. The DEV and TEST evaluation sets, on the other hand, are re-processed by professional human transcribers to ensure high transcription quality.
@article{DBLP:journals/corr/abs-2106-06909, author = {Guoguo Chen and Shuzhou Chai and Guanbo Wang and Jiayu Du and Wei{-}Qiang Zhang and Chao Weng and Dan Su and Daniel Povey and Jan Trmal and Junbo Zhang and Mingjie Jin and Sanjeev Khudanpur and Shinji Watanabe and Shuaijiang Zhao and Wei Zou and Xiangang Li and Xuchen Yao and Yongqing Wang and Yujun Wang and Zhao You and Zhiyong Yan}, title = {GigaSpeech: An Evolving, Multi-domain {ASR} Corpus with 10, 000 Hours of Transcribed Audio}, journal = {CoRR}, volume = {abs/2106.06909}, year = {2021}, url = {https://arxiv.org/abs/2106.06909}, eprinttype = {arXiv}, eprint = {2106.06909}, timestamp = {Wed, 29 Dec 2021 14:29:26 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2106-06909.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
0
12
2023-10-11T09:09:32
--- license: other task_categories: - automatic-speech-recognition language: - en extra_gated_prompt: |- SpeechColab does not own the copyright of the audio files. For researchers and educators who wish to use the audio files for non-commercial research and/or educational purposes, we can provide access through the Hub under certain conditions and terms. Terms of Access: The "Researcher" has requested permission to use the GigaSpeech database (the "Database") at Tsinghua University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions: 1. Researcher shall use the Database only for non-commercial research and educational purposes. 2. The SpeechColab team and Tsinghua University make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose. 3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the SpeechColab team and Tsinghua University, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted audio files that he or she may create from the Database. 4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions. 5. The SpeechColab team and Tsinghua University reserve the right to terminate Researcher's access to the Database at any time. 6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer. Please also fill out the Google Form https://forms.gle/UuGQAPyscGRrUMLq6 to request access to the GigaSpeech dataset. extra_gated_fields: Name: text Email: text Organization: text Address: text I hereby confirm that I have requested access via the Google Form provided above: checkbox I accept the terms of access: checkbox --- # Distil Whisper: GigaSpeech This is a variant of the [GigaSpeech](https://huggingface.co/datasets/speechcolab/gigaspeech) dataset, augmented to return the pseudo-labelled Whisper Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by labelling the input audio data with the Whisper [large-v2](https://huggingface.co/openai/whisper-large-v2) model with *greedy* sampling. For information on how the original dataset was curated, refer to the original [dataset card](https://huggingface.co/datasets/speechcolab/gigaspeech). ## Standalone Usage First, install the latest version of the 🤗 Datasets package: ```bash pip install --upgrade pip pip install --upgrade datasets[audio] ``` The dataset can be downloaded and pre-processed on disk using the [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/loading_methods#datasets.load_dataset) function: ```python from datasets import load_dataset dataset = load_dataset("distil-whisper/gigaspeech-l", "l") # take the first sample of the validation set sample = dataset["validation"][0] ``` It can also be streamed directly from the Hub using Datasets' [streaming mode](https://huggingface.co/blog/audio-datasets#streaming-mode-the-silver-bullet). Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk: ```python from datasets import load_dataset dataset = load_dataset("distil-whisper/gigaspeech-l", "l", streaming=True) # take the first sample of the validation set sample = next(iter(dataset["validation"])) ``` ## Distil Whisper Usage To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the [Distil Whisper repository](https://github.com/huggingface/distil-whisper#training). ## License This dataset is licensed under custom terms. To view the custom license for this dataset, refer to the original [dataset card](https://huggingface.co/datasets/speechcolab/gigaspeech).
4,292
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bellagio-ai/t2i-one-pillar-pagoda
2023-10-11T13:37:51.000Z
[ "region:us" ]
bellagio-ai
null
null
0
12
2023-10-11T13:37:13
--- 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: 10724002.0 num_examples: 27 download_size: 10667654 dataset_size: 10724002.0 --- # Dataset Card for "t2i-one-pillar-pagoda" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
487
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Tommert25/Data_augmentation
2023-10-12T08:56:59.000Z
[ "region:us" ]
Tommert25
null
null
0
12
2023-10-11T14:49:45
Entry not found
15
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lukarape/public_small_papers
2023-10-16T12:30:39.000Z
[ "region:us" ]
lukarape
null
null
0
12
2023-10-12T18:20:46
Entry not found
15
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zhan1993/enhanced_topic_instructions
2023-10-13T08:50:26.000Z
[ "region:us" ]
zhan1993
null
null
0
12
2023-10-13T08:50:09
--- configs: - config_name: default data_files: - split: high_school_physics_enhanced path: data/high_school_physics_enhanced-* - split: security_studies_enhanced path: data/security_studies_enhanced-* - split: formal_logic_enhanced path: data/formal_logic_enhanced-* - split: college_biology_enhanced path: data/college_biology_enhanced-* - split: abstract_algebra_enhanced path: data/abstract_algebra_enhanced-* - split: sociology_enhanced path: data/sociology_enhanced-* - split: prehistory_enhanced path: data/prehistory_enhanced-* - split: global_facts_enhanced path: data/global_facts_enhanced-* - split: machine_learning_enhanced path: data/machine_learning_enhanced-* - split: high_school_government_and_politics_enhanced path: data/high_school_government_and_politics_enhanced-* dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: high_school_physics_enhanced num_bytes: 3573173 num_examples: 1980 - name: security_studies_enhanced num_bytes: 9466217 num_examples: 4340 - name: formal_logic_enhanced num_bytes: 3748928 num_examples: 2125 - name: college_biology_enhanced num_bytes: 2154060 num_examples: 1020 - name: abstract_algebra_enhanced num_bytes: 3757955 num_examples: 2230 - name: sociology_enhanced num_bytes: 7970185 num_examples: 3691 - name: prehistory_enhanced num_bytes: 4336111 num_examples: 2240 - name: global_facts_enhanced num_bytes: 4078170 num_examples: 2265 - name: machine_learning_enhanced num_bytes: 3123889 num_examples: 1575 - name: high_school_government_and_politics_enhanced num_bytes: 8862802 num_examples: 4600 download_size: 23508823 dataset_size: 51071490 --- # Dataset Card for "enhanced_topic_instructions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2,017
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milkshake721/2.1M-wiki-STEM
2023-10-13T09:22:50.000Z
[ "region:us" ]
milkshake721
null
null
1
12
2023-10-13T09:00:40
Entry not found
15
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Globaly/familias-130k
2023-10-13T22:43:24.000Z
[ "region:us" ]
Globaly
null
null
0
12
2023-10-13T16:48:25
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
sordonia/id-maxD100
2023-10-14T01:00:30.000Z
[ "region:us" ]
sordonia
null
null
0
12
2023-10-14T01:00:16
## max_context_length: 128 ## max_documents_per_subject: 100
61
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sayan1101/test_dataset_sum
2023-10-15T09:53:26.000Z
[ "region:us" ]
sayan1101
null
null
0
12
2023-10-15T09:45:02
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 49753382 num_examples: 11490 download_size: 28642180 dataset_size: 49753382 --- # Dataset Card for "test_dataset_sum" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
450
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EnzoZacharias/SPS
2023-10-17T09:18:25.000Z
[ "region:us" ]
EnzoZacharias
null
null
0
12
2023-10-16T09:50:43
Entry not found
15
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ranzhen/hackthon-jsonl-test-2023
2023-10-20T02:57:51.000Z
[ "region:us" ]
ranzhen
null
null
0
12
2023-10-16T09:52:37
Entry not found
15
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Tngarg/russian_test
2023-10-16T11:21:37.000Z
[ "region:us" ]
Tngarg
null
null
0
12
2023-10-16T11:21:36
--- dataset_info: features: - name: sentiment dtype: string - name: tweet dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 75684 num_examples: 260 download_size: 43226 dataset_size: 75684 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "russian_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
517
[ [ -0.0305938720703125, -0.026275634765625, 0.0079803466796875, 0.01934814453125, -0.01355743408203125, 0.003055572509765625, 0.01222991943359375, -0.0036449432373046875, 0.044189453125, 0.012908935546875, -0.051971435546875, -0.05572509765625, -0.0311279296875, ...
sayan1101/new_sft_summarize
2023-10-16T16:16:04.000Z
[ "region:us" ]
sayan1101
null
null
0
12
2023-10-16T16:11:20
--- 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: prompt dtype: string splits: - name: train num_bytes: 1264287802 num_examples: 287113 - name: validation num_bytes: 57852724 num_examples: 13368 - name: test num_bytes: 50029142 num_examples: 11490 download_size: 801958229 dataset_size: 1372169668 --- # Dataset Card for "new_sft_summarize" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
677
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LEEEE2/autotrain-data-pictures
2023-10-17T08:01:15.000Z
[ "region:us" ]
LEEEE2
null
null
0
12
2023-10-16T18:11:32
Entry not found
15
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wlee44/attack
2023-10-16T20:27:11.000Z
[ "region:us" ]
wlee44
null
null
0
12
2023-10-16T20:26:23
Entry not found
15
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tyzhu/eval_tag_nq_test_v12_middle
2023-10-17T05:21:24.000Z
[ "region:us" ]
tyzhu
null
null
0
12
2023-10-17T05:21:17
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: question dtype: string - name: title dtype: string - name: inputs dtype: string - name: targets dtype: string - name: answers struct: - name: answer_start sequence: 'null' - name: text sequence: string - name: id dtype: string - name: titles dtype: string splits: - name: train num_bytes: 5226 num_examples: 10 - name: validation num_bytes: 1980914 num_examples: 3610 download_size: 1119335 dataset_size: 1986140 --- # Dataset Card for "eval_tag_nq_test_v12_middle" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
860
[ [ -0.046112060546875, -0.0294647216796875, 0.0013360977172851562, 0.00919342041015625, -0.01094818115234375, 0.018798828125, 0.024322509765625, 0.0010843276977539062, 0.05059814453125, 0.0244598388671875, -0.054534912109375, -0.046112060546875, -0.023773193359375,...
seuprimrose/ccdmdata
2023-10-17T16:06:31.000Z
[ "region:us" ]
seuprimrose
null
null
0
12
2023-10-17T07:52:27
Entry not found
15
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Surajsangwan90/public_transport_NZ_latest
2023-10-30T01:27:49.000Z
[ "region:us" ]
Surajsangwan90
null
null
0
12
2023-10-18T00:24:10
Entry not found
15
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elliotthwang/guanaco-llama2-chinese-1ka
2023-10-18T13:33:03.000Z
[ "region:us" ]
elliotthwang
null
null
0
12
2023-10-18T13:33:01
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1348677 num_examples: 1000 download_size: 811412 dataset_size: 1348677 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-chinese-1ka" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
453
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lukekim420/sshsbamboobot
2023-10-18T15:11:31.000Z
[ "language:ko", "region:us" ]
lukekim420
null
null
0
12
2023-10-18T15:09:08
--- language: - ko --- sshsbamboogroove crawled dataset --- license: apache-2.0 ---
84
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asgaardlab/SampleDataset2
2023-10-18T16:49:58.000Z
[ "region:us" ]
asgaardlab
null
null
0
12
2023-10-18T16:49:40
--- dataset_info: features: - name: Buggy Image dtype: image - name: Correct Image dtype: image - name: Segmentation Image (Bug) dtype: image - name: Segmentation Image (Correct) dtype: image - name: Description dtype: string - name: Tag dtype: string - name: Objects JSON (Bug) dtype: string - name: Objects JSON (Correct) dtype: string - name: Victim Name dtype: string - name: Victim Color sequence: int64 splits: - name: validation num_bytes: 404705601.0 num_examples: 751 download_size: 379820267 dataset_size: 404705601.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "SampleDataset2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
874
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aiancheruk/go_emotions_mini
2023-10-18T22:29:55.000Z
[ "region:us" ]
aiancheruk
null
null
0
12
2023-10-18T22:29:50
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string - name: labels sequence: class_label: names: '0': admiration '1': amusement '2': anger '3': annoyance '4': approval '5': caring '6': confusion '7': curiosity '8': desire '9': disappointment '10': disapproval '11': disgust '12': embarrassment '13': excitement '14': fear '15': gratitude '16': grief '17': joy '18': love '19': nervousness '20': optimism '21': pride '22': realization '23': relief '24': remorse '25': sadness '26': surprise '27': neutral - name: id dtype: string splits: - name: train num_bytes: 48653.97373876987 num_examples: 500 - name: validation num_bytes: 9714.688536675267 num_examples: 100 - name: test num_bytes: 9663.589460106872 num_examples: 100 download_size: 54811 dataset_size: 68032.25173555201 --- # Dataset Card for "go_emotions_shrinked" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,482
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tyzhu/flan_max_300
2023-10-19T08:52:00.000Z
[ "region:us" ]
tyzhu
null
null
0
12
2023-10-19T08:26:52
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 2253528229.0133214 num_examples: 1321267 - name: test num_bytes: 118607826.10465212 num_examples: 69541 - name: validation num_bytes: 118607826.10465212 num_examples: 69541 download_size: 34774605 dataset_size: 2490743881.2226253 --- # Dataset Card for "flan_max_300" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
646
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kwanyick/cover-letter-dataset-text-prompt
2023-10-19T16:00:37.000Z
[ "region:us" ]
kwanyick
null
null
0
12
2023-10-19T15:59:46
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1231557.1678141137 num_examples: 813 - name: test num_bytes: 528675.8321858865 num_examples: 349 download_size: 594129 dataset_size: 1760233.0 --- # Dataset Card for "cover-letter-dataset-text-prompt" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
579
[ [ -0.03094482421875, -0.01253509521484375, 0.0228271484375, 0.01751708984375, -0.004638671875, 0.004180908203125, 0.017822265625, 0.01065826416015625, 0.0633544921875, 0.03338623046875, -0.0826416015625, -0.062103271484375, -0.03729248046875, -0.00089073181152...
tanvinsharma/books1000
2023-10-20T14:04:57.000Z
[ "region:us" ]
tanvinsharma
null
null
0
12
2023-10-20T14:04:35
Entry not found
15
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OdiaGenAI/alpaca_dolly_eval_100
2023-10-20T15:31:28.000Z
[ "region:us" ]
OdiaGenAI
null
null
0
12
2023-10-20T15:31:09
Entry not found
15
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sam2ai/hindi_truthfulqa_gen_mini
2023-10-20T22:41:34.000Z
[ "region:us" ]
sam2ai
null
null
0
12
2023-10-20T22:31:44
--- configs: - config_name: default data_files: - split: validation path: data/validation-* dataset_info: features: - name: type dtype: string - name: category dtype: string - name: question dtype: string - name: best_answer dtype: string - name: correct_answers sequence: string - name: incorrect_answers sequence: string - name: source dtype: string splits: - name: validation num_bytes: 81430 num_examples: 50 download_size: 35995 dataset_size: 81430 --- # Dataset Card for "hindi_truthfulqa_gen_mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
705
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goodcoffee/covidQA_training_v2
2023-11-01T13:28:50.000Z
[ "region:us" ]
goodcoffee
null
null
0
12
2023-10-21T10:50:59
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: start_positions dtype: int64 - name: end_positions dtype: int64 splits: - name: train num_bytes: 3651192 num_examples: 1413 download_size: 0 dataset_size: 3651192 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "covidQA_training_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
576
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BahAdoR0101/conll2003job
2023-10-21T15:35:55.000Z
[ "region:us" ]
BahAdoR0101
The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on four types of named entities: persons, locations, organizations and names of miscellaneous entities that do not belong to the previous three groups. The CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on a separate line and there is an empty line after each sentence. The first item on each line is a word, the second a part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags and the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only if two phrases of the same type immediately follow each other, the first word of the second phrase will have tag B-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2 tagging scheme, whereas the original dataset uses IOB1. For more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419
@inproceedings{tjong-kim-sang-de-meulder-2003-introduction, title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition", author = "Tjong Kim Sang, Erik F. and De Meulder, Fien", booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003", year = "2003", url = "https://www.aclweb.org/anthology/W03-0419", pages = "142--147", }
0
12
2023-10-21T15:35:18
Entry not found
15
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JLB-JLB/seizure_eeg_greyscale_224x224_6secWindow
2023-10-21T23:42:39.000Z
[ "region:us" ]
JLB-JLB
null
null
1
12
2023-10-21T22:29:33
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* - split: eval path: data/eval-* dataset_info: features: - name: image dtype: image - name: epoch dtype: int64 - name: label dtype: class_label: names: '0': seiz '1': bckg splits: - name: train num_bytes: 23735631090.792 num_examples: 814568 - name: dev num_bytes: 12051655546.53 num_examples: 390190 - name: eval num_bytes: 3322082528.975 num_examples: 114035 download_size: 39216537180 dataset_size: 39109369166.297 --- # Dataset Card for "seizure_eeg_greyscale_224x224_6secWindow" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
837
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maxolotl/must-c-en-es-02
2023-10-22T07:47:19.000Z
[ "region:us" ]
maxolotl
null
null
0
12
2023-10-22T07:47:13
--- dataset_info: features: - name: en dtype: string - name: es dtype: string splits: - name: train num_bytes: 59874575 num_examples: 259892 - name: test num_bytes: 658214 num_examples: 3035 - name: validation num_bytes: 310157 num_examples: 1309 download_size: 37502474 dataset_size: 60842946 --- # Dataset Card for "must-c-en-es-02" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
517
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textminr/sotu_paragraphs
2023-10-22T12:39:31.000Z
[ "size_categories:n<1K", "language:en", "license:gpl-2.0", "sotu", "region:us" ]
textminr
null
null
0
12
2023-10-22T11:07:29
--- license: gpl-2.0 language: - en tags: - sotu size_categories: - n<1K --- This is a dataset containing the *United States Presidential State of the Union Addresses* through 2020; derived from the `sotu` R package.
217
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cis-lmu/udhr-lid
2023-10-26T09:56:41.000Z
[ "multilinguality:multilingual", "language:tir", "language:rmn", "language:arb", "language:mxv", "language:mal", "language:fij", "language:som", "language:cot", "language:fur", "language:vie", "language:zlm", "language:bam", "language:chr", "language:maz", "language:yad", "language:zt...
cis-lmu
null
null
1
12
2023-10-22T18:49:59
--- license: cc0-1.0 configs: - config_name: default data_files: - split: test path: "udhr-lid.csv" multilinguality: - multilingual language: - tir - rmn - arb - mxv - mal - fij - som - cot - fur - vie - zlm - bam - chr - maz - yad - ztu - ykg - ccp - alt - ayr - njo - bci - gyr - run - haw - rgn - cak - kwi - fra - agr - duu - ilo - nhn - kdh - cnh - bod - mya - ady - pol - ydd - cos - lot - arl - glv - gag - bfa - afr - lij - zlm - ibb - toi - tzm - ron - ojb - san - eng - bum - pam - kqs - dje - auc - smo - por - fry - lad - pov - tyv - guc - huu - ese - kbp - eve - yrk - lin - tdt - qvc - top - nav - twi - oss - lia - ame - hun - lit - que - qug - nku - csa - lao - knc - kjh - jav - mam - ita - ppl - aar - tbz - ssw - bug - srp - kaz - min - mad - orh - tgk - kat - uig - tzo - hat - shn - kbd - niv - idu - krl - abk - mto - gla - ijs - cri - uzn - tah - tob - kir - quy - hnj - srr - lvs - nan - hns - snk - swh - ekk - guu - div - dzo - spa - hms - ell - ace - war - ind - cjy - cfm - nds - ewe - tel - src - fuf - vmw - zro - men - kqn - nzi - taj - khk - ddn - nso - mxi - pon - fvr - hau - ktu - tem - yor - pnb - ltz - evn - cjs - nba - niu - dan - acu - zgh - chj - heb - lua - quz - uig - cbi - jav - cpu - wuu - mah - kmb - mcd - ben - lus - ajg - azj - tha - dga - isl - sus - fuf - fkv - jiv - mor - nio - als - buc - kde - nbl - ceb - ven - sun - cbt - swb - tur - dyo - sin - pbu - ada - pap - qvh - loz - pan - qva - sme - bax - tuk - hsb - hus - qvn - ban - cha - zyb - hin - tat - uzn - qxu - gej - quc - mnw - bho - udu - kha - kbr - tsz - pau - mkd - shp - ike - lue - tgl - yap - yua - koi - hrv - emk - tet - ndo - cbu - vep - cmn - sag - nym - rus - gjn - guk - kri - ote - lun - vai - bis - arn - tsn - gle - hak - gkp - ura - tca - xho - wln - amc - mos - lld - bul - qxn - bcl - ctd - dip - dag - kek - bre - mri - fin - sah - cym - kan - fao - gsw - sey - bem - bos - bin - chv - tpi - ami - oaa - lob - ast - nno - sco - tuk - khm - pes - pbb - tam - ibo - san - sid - plt - guj - hsn - kin - lug - slr - koo - xsm - jpn - oki - deu - rar - pcm - hni - vec - gld - sot - crs - fuv - srp - npi - nya - kea - blt - roh - cbr - chk - kal - mfq - quh - kor - slv - cof - shk - zul - qwh - fon - mic - prs - mag - bel - iii - mar - dyu - boa - swe - pis - mlt - amh - umb - cnr - mai - toj - csw - ina - bba - cbs - kng - oci - pcd - miq - lat - qvm - wwa - bos - urd - kmr - ido - gaa - epo - gaz - cat - hye - cni - suk - gug - gan - cjk - tzh - zam - ces - cic - mcf - not - kaa - tso - piu - fat - mzi - snn - tly - eus - nld - nob - wol - hlt - sna - tiv - ton - hea - skr - lns - rup - cab - glg - tgl - yao - nyn - aii - tzm - slk - ukr - kkh - zdj - amr - yue - crh - hil tags: - UDHR - udhr - language identification - LID - glot - GlotLID pretty_name: UDHR-LID --- # UDHR-LID **Why UDHR-LID?** You can access UDHR [here](http://www.unicode.org/udhr/d/), but when a verse is missing, they have texts such as "missing" or "?". Also, about 1/3 of the sentences consist only of "articles 1-30" in different languages. We cleaned the entire dataset from XML files and selected only the paragraphs. We cleared any unrelated language texts from the data and also removed the cases that were incorrect. Incorrect? Look at the ckb and kmr files in the UDHR. Both are the same! ckb is known for the Arabic script, although it can also be written in Latin. Clearly, a unique file cannot belong to two different languages. We also deleted files that we believe those scripts are no longer in use. The deleted files include: - ckb_Latn (Arabic is in use.) - azb_Latn (Arabic is in use.) - khk_Mong (Cyrillic is in use.) - vie_Hani (Latin is in use.) For dealing with scripts in other languages, if you are interested, check Glotscript [code](https://github.com/cisnlp/GlotScript) and [paper](https://arxiv.org/abs/2309.13320). We have prepared a tool for detecting the script of a text, as well as metadata to determine the correct script for each language. We believe UDHR should remain a test corpus in NLP, not a training corpus. Of course, we are not opposed to great works such as Franc built on top of UDHR. However, if your work scale is much bigger than UDHR, do not put UDHR in your data. Use it as test/validation, or find out what is wrong with your training data with help of UDHR. Be aware that a part of UDHR may be hosted on other websites such as Wikipedia, news websites like BBC, collaborative translation communities like Tatoeba. Before using UDHR as a test, exclude any sentence where UDHR is a part of your training. We created this corpus for language identification evaluation task in our GlotLID [paper](https://arxiv.org/abs/2310.16248), but feel free to use it for your own task. The texts here are not in order, and they're not parallel. However, each row of data belongs to the determined language, long, cleaned, and has rich linguistic content! ## Usage (HF Loader) ```python from datasets import load_dataset dataset = load_dataset('cis-lmu/udhr-lid', split='test') print(dataset[0]) # First row of udhr-lid ``` ## Download If you are not a fan of the HF dataloader, download each language directly: ```python ! wget https://huggingface.co/datasets/cis-lmu/udhr-lid/resolve/main/udhr-lid.csv ``` or clone the whole repository: ```python ! git clone https://huggingface.co/datasets/cis-lmu/udhr-lid ``` ## License UDHR is the most translated copyright-free document in the world. We license the actual packaging, the metadata and the annotations of these data under the cc0-1.0 (waiving all of the rights under copyright law). ## Citation If you use any part of this data in your research, please cite it (along with http://www.unicode.org/udhr/d/) using the following BibTeX entry. ``` @inproceedings{ kargaran2023glotlid, title={{GlotLID}: Language Identification for Low-Resource Languages}, author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich}, booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing}, year={2023}, url={https://openreview.net/forum?id=dl4e3EBz5j} } ```
6,160
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davidfant/natural-questions-chunk-2
2023-10-22T22:56:01.000Z
[ "region:us" ]
davidfant
null
null
0
12
2023-10-22T22:52:24
--- dataset_info: features: - name: id dtype: string - name: document struct: - name: html dtype: string - name: title dtype: string - name: tokens sequence: - name: end_byte dtype: int64 - name: is_html dtype: bool - name: start_byte dtype: int64 - name: token dtype: string - name: url dtype: string - name: question struct: - name: text dtype: string - name: tokens sequence: string - name: long_answer_candidates sequence: - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: top_level dtype: bool - name: annotations sequence: - name: id dtype: string - name: long_answer struct: - name: candidate_index dtype: int64 - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: short_answers sequence: - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: text dtype: string - name: yes_no_answer dtype: class_label: names: '0': 'NO' '1': 'YES' splits: - name: train num_bytes: 4672087643 num_examples: 10000 download_size: 1816142719 dataset_size: 4672087643 --- # Dataset Card for "natural-questions-chunk-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,818
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davidfant/natural-questions-chunk-3
2023-10-22T22:59:30.000Z
[ "region:us" ]
davidfant
null
null
0
12
2023-10-22T22:56:01
--- dataset_info: features: - name: id dtype: string - name: document struct: - name: html dtype: string - name: title dtype: string - name: tokens sequence: - name: end_byte dtype: int64 - name: is_html dtype: bool - name: start_byte dtype: int64 - name: token dtype: string - name: url dtype: string - name: question struct: - name: text dtype: string - name: tokens sequence: string - name: long_answer_candidates sequence: - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: top_level dtype: bool - name: annotations sequence: - name: id dtype: string - name: long_answer struct: - name: candidate_index dtype: int64 - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: short_answers sequence: - name: end_byte dtype: int64 - name: end_token dtype: int64 - name: start_byte dtype: int64 - name: start_token dtype: int64 - name: text dtype: string - name: yes_no_answer dtype: class_label: names: '0': 'NO' '1': 'YES' splits: - name: train num_bytes: 4591162424 num_examples: 10000 download_size: 1782588663 dataset_size: 4591162424 --- # Dataset Card for "natural-questions-chunk-3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1,818
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w95/dz
2023-10-23T17:29:42.000Z
[ "region:us" ]
w95
null
null
0
12
2023-10-23T17:16:22
Entry not found
15
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Hessa/tqa
2023-10-23T21:07:29.000Z
[ "region:us" ]
Hessa
null
null
0
12
2023-10-23T21:05:56
Entry not found
15
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Alamerton/cot_submix_data
2023-10-24T12:00:21.000Z
[ "region:us" ]
Alamerton
null
null
0
12
2023-10-24T11:59:46
Entry not found
15
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sunjun/medqa_sj
2023-10-24T12:49:39.000Z
[ "region:us" ]
sunjun
null
null
0
12
2023-10-24T12:49:24
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: options struct: - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: meta_info dtype: string - name: answer_idx dtype: string - name: metamap_phrases sequence: string - name: choices sequence: string - name: answer_index dtype: int64 splits: - name: train num_bytes: 16555933 num_examples: 10178 - name: test num_bytes: 2118034 num_examples: 1273 download_size: 9784195 dataset_size: 18673967 --- # Dataset Card for "medqa_sj" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
946
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thangvip/orca-filter-half-open
2023-10-29T16:29:19.000Z
[ "region:us" ]
thangvip
null
null
0
12
2023-10-25T04:16:52
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 640753674.0897293 num_examples: 658943 download_size: 340623823 dataset_size: 640753674.0897293 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "orca-filter-half-open" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
587
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cestwc/SG-subzone-poi-sentiment_1
2023-10-25T16:00:30.000Z
[ "region:us" ]
cestwc
null
null
0
12
2023-10-25T15:59:30
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: local_created_at dtype: string - name: id dtype: int64 - name: text dtype: string - name: source dtype: string - name: truncated dtype: bool - name: in_reply_to_status_id dtype: float32 - name: in_reply_to_user_id dtype: float32 - name: user_id dtype: int64 - name: user_name dtype: string - name: user_screen_name dtype: string - name: user_location dtype: string - name: user_url dtype: string - name: user_verified dtype: bool - name: user_default_profile dtype: bool - name: user_description dtype: string - name: user_followers_count dtype: int64 - name: user_friends_count dtype: int64 - name: user_listed_count dtype: int64 - name: user_favourites_count dtype: int64 - name: user_statuses_count dtype: int64 - name: local_user_created_at dtype: string - name: place_id dtype: string - name: place_url dtype: string - name: place_place_type dtype: string - name: place_name dtype: string - name: place_country_code dtype: string - name: place_bounding_box_type dtype: string - name: place_bounding_box_coordinates dtype: string - name: is_quote_status dtype: bool - name: retweet_count dtype: int64 - name: favorite_count dtype: int64 - name: entities_hashtags dtype: string - name: entities_urls dtype: string - name: entities_symbols dtype: string - name: entities_user_mentions dtype: string - name: favorited dtype: bool - name: retweeted dtype: bool - name: possibly_sensitive dtype: bool - name: lang dtype: string - name: latitude dtype: float32 - name: longitude dtype: float32 - name: year_created_at dtype: int64 - name: month_created_at dtype: int64 - name: day_created_at dtype: int64 - name: weekday_created_at dtype: int64 - name: hour_created_at dtype: int64 - name: minute_created_at dtype: int64 - name: year_user_created_at dtype: int64 - name: month_user_created_at dtype: int64 - name: day_user_created_at dtype: int64 - name: weekday_user_created_at dtype: int64 - name: hour_user_created_at dtype: int64 - name: minute_user_created_at dtype: int64 - name: subzone dtype: string - name: planning_area dtype: string - name: poi_flag dtype: float32 - name: poi_id dtype: string - name: poi_dist dtype: float32 - name: poi_latitude dtype: float32 - name: poi_longitude dtype: float32 - name: poi_name dtype: string - name: poi_type dtype: string - name: poi_cate2 dtype: string - name: poi_cate3 dtype: string - name: clean_text dtype: string - name: joy_score dtype: float32 - name: trust_score dtype: float32 - name: positive_score dtype: float32 - name: sadness_score dtype: float32 - name: disgust_score dtype: float32 - name: anger_score dtype: float32 - name: anticipation_score dtype: float32 - name: negative_score dtype: float32 - name: fear_score dtype: float32 - name: surprise_score dtype: float32 - name: words dtype: string - name: polarity_score dtype: float32 - name: labels dtype: int64 - name: T0_q1 dtype: string - name: bart_mnli dtype: float32 - name: T0_q2 dtype: string - name: shortlist dtype: int64 - name: preprocess-1 dtype: string - name: preprocess-2 dtype: string splits: - name: train num_bytes: 1594138834 num_examples: 1025135 download_size: 490233454 dataset_size: 1594138834 --- # Dataset Card for "SG-subzone-poi-sentiment_1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
3,962
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sayan1101/finetune_dataset
2023-10-26T09:51:04.000Z
[ "region:us" ]
sayan1101
null
null
0
12
2023-10-26T09:49:44
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 27407564 num_examples: 52000 download_size: 12306324 dataset_size: 27407564 --- # Dataset Card for "finetune_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
448
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CJWeiss/inabs
2023-10-26T20:42:33.000Z
[ "region:us" ]
CJWeiss
null
null
0
12
2023-10-26T20:42:23
--- dataset_info: features: - name: text dtype: string - name: summary dtype: string - name: file dtype: string splits: - name: train num_bytes: 159441006 num_examples: 5346 - name: test num_bytes: 32277886 num_examples: 1069 - name: valid num_bytes: 21628228 num_examples: 713 download_size: 103927432 dataset_size: 213347120 --- # Dataset Card for "inabs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
546
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wisenut-nlp-team/FiD_aihub_admin
2023-10-27T06:27:21.000Z
[ "region:us" ]
wisenut-nlp-team
null
null
0
12
2023-10-27T04:29:52
--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: question dtype: string - name: context dtype: string - name: answer dtype: string - name: similar_contexts sequence: string splits: - name: train num_bytes: 4229071220 num_examples: 329464 - name: validation num_bytes: 528496177 num_examples: 41182 download_size: 2130406942 dataset_size: 4757567397 --- # Dataset Card for "FiD_aihub_admin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
626
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buihungtpd3/custom-longformer
2023-10-28T11:37:10.000Z
[ "region:us" ]
buihungtpd3
Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
@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}, }
0
12
2023-10-28T11:00:25
Entry not found
15
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roborovski/upsampled-prompts-parti
2023-11-01T13:25:03.000Z
[ "region:us" ]
roborovski
null
null
0
12
2023-10-29T17:32:37
--- dataset_info: features: - name: Prompt dtype: string - name: Category dtype: string - name: Upsampled dtype: string splits: - name: train num_bytes: 10258852 num_examples: 23318 download_size: 5483101 dataset_size: 10258852 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "upsampled-prompts-parti" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
531
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Isamu136/penetration_testing_scraped_dataset
2023-10-30T07:35:25.000Z
[ "region:us" ]
Isamu136
null
null
1
12
2023-10-29T17:44:34
--- dataset_info: features: - name: text dtype: string - name: embedding sequence: float32 - name: tokens sequence: int64 - name: database dtype: string - name: file dtype: string - name: chunk dtype: int64 splits: - name: train num_bytes: 1005293572 num_examples: 107542 download_size: 663206603 dataset_size: 1005293572 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "penetration_testing_scraped_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
655
[ [ -0.035919189453125, -0.04315185546875, 0.00809478759765625, 0.021759033203125, -0.0022525787353515625, 0.005184173583984375, 0.037109375, 0.0020809173583984375, 0.045989990234375, 0.036376953125, -0.0408935546875, -0.0660400390625, -0.02911376953125, -0.0219...
sam-bha/un-general-assembly-votes-2000-2023
2023-11-01T14:56:11.000Z
[ "task_categories:tabular-regression", "task_categories:tabular-classification", "language:en", "license:cc-by-nc-4.0", "politics", "region:us" ]
sam-bha
null
null
0
12
2023-10-30T02:36:34
--- license: cc-by-nc-4.0 task_categories: - tabular-regression - tabular-classification language: - en tags: - politics pretty_name: UN General Assembly Votes from 2000 to 2023 --- # UN General Assembly Votes from 2000 to 2023 The following is a cleaned and compiled version of all of the UN General Assembly votes, from [the UN Digital Library](https://digitallibrary.un.org/), which includes ~1800 different resolutions and votes by the 196 voting members. Fields include **Title**, **Resolution Number** and the actual votes. The votes are in a dict format, with the name of the country. Countries have have changed names over the period (such as Turkey -> Türkiye, Swaziland -> Eswatini), so we use the latest name each country has used as of 2023. One voting member country (Serbia and Montengro) has since split into two voting member countries during the time period in question, and is not considered. South Sudan, Serbia, and Montenegro only came into existing in the middle of the time period in question, and so we consider them as not voting / null votes before they became voting members. Please follow the [UN Digital Library terms of service](https://digitallibrary.un.org/pages/?ln=en&page=tos) (e.g. non-commercial use) © United Nations, 2023, https://digitallibrary.un.org, downloaded on 10/29/2023
1,325
[ [ -0.04888916015625, -0.0035076141357421875, 0.06634521484375, 0.005100250244140625, -0.051055908203125, -0.00235748291015625, 0.0361328125, -0.0308380126953125, 0.0201568603515625, 0.037109375, -0.041656494140625, -0.044464111328125, -0.0518798828125, 0.04034...
dltjdgh0928/open_orca_ko_10000
2023-10-30T06:15:24.000Z
[ "region:us" ]
dltjdgh0928
null
null
1
12
2023-10-30T05:58:33
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
salma-remyx/gym_equipment_dataset
2023-10-30T19:09:42.000Z
[ "region:us" ]
salma-remyx
null
null
0
12
2023-10-30T19:09:40
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': lat_pulldown_machine '1': leg_press_machine '2': leg_raise_tower splits: - name: train num_bytes: 1614251.0 num_examples: 150 download_size: 1616823 dataset_size: 1614251.0 --- # Dataset Card for "gym_equipment_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
613
[ [ -0.035186767578125, -0.007175445556640625, -0.00023186206817626953, 0.006435394287109375, -0.018524169921875, -0.011322021484375, 0.03594970703125, -0.0012273788452148438, 0.05035400390625, 0.019073486328125, -0.062286376953125, -0.048553466796875, -0.0399780273...