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classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SetFit | null | null | null | false | 21 | false | SetFit/stsb | 2022-02-28T14:20:16.000Z | null | false | 77bd85cf73a244d4503e477ce6de81196187839f | [] | [] | https://huggingface.co/datasets/SetFit/stsb/resolve/main/README.md | # Glue STS-B
This dataset is a port of the official [`sts-b` dataset](https://huggingface.co/datasets/glue/viewer/stsb/validation) on the Hub.
This is not a classification task, so the label_text column is only included for consistency
Note that the sentence1 and sentence2 columns have been renamed to text1 and t... |
SetFit | null | null | null | false | 328 | false | SetFit/student-question-categories | 2022-01-16T18:32:48.000Z | null | false | a0053782f27c4d68d642f4b9169cb1cb49088ee2 | [] | [] | https://huggingface.co/datasets/SetFit/student-question-categories/resolve/main/README.md | This is the [IITJEE NEET AIIMS Students Questions Data](https://www.kaggle.com/mrutyunjaybiswal/iitjee-neet-aims-students-questions-data) dataset.
It categorizes university entry questions into 4 categories: Physics, Chemistry, Biology, and Mathematics. |
SetFit | null | null | null | false | 2,926 | false | SetFit/subj | 2022-01-15T21:34:11.000Z | null | false | f3c1162e678417f664d76b21864fdb87b0615fcf | [] | [] | https://huggingface.co/datasets/SetFit/subj/resolve/main/README.md | # Subjective vs Objective
This is the SUBJ dataset as used in [SentEval](https://github.com/facebookresearch/SentEval). It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective |
SetFit | null | null | null | false | 329 | false | SetFit/toxic_conversations | 2022-02-11T13:45:54.000Z | null | false | 3953bb49397ac2ee228986b2f3080b20cbce1365 | [] | [] | https://huggingface.co/datasets/SetFit/toxic_conversations/resolve/main/README.md | # Toxic Conversation
This is a version of the [Jigsaw Unintended Bias in Toxicity Classification dataset](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview). It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.
10 annotato... |
SetFit | null | null | null | false | 951 | false | SetFit/tweet_eval_stance | 2022-01-17T13:01:36.000Z | null | false | 568ea1093306f1b0ace849f1d703ad67525355ed | [] | [] | https://huggingface.co/datasets/SetFit/tweet_eval_stance/resolve/main/README.md | # tweet_eval_stance_abortion
This is the stance_abortion subset of [tweet_eval](https://huggingface.co/datasets/tweet_eval) |
SetFit | null | null | null | false | 452 | false | SetFit/tweet_sentiment_extraction | 2022-05-12T19:52:02.000Z | null | false | 0d5359cfbb2470332f2b82e62269cf755e0ac5c3 | [] | [] | https://huggingface.co/datasets/SetFit/tweet_sentiment_extraction/resolve/main/README.md | # Tweet Sentiment Extraction
Source: https://www.kaggle.com/c/tweet-sentiment-extraction/data |
SetFit | null | null | null | false | 19 | false | SetFit/wnli | 2022-02-28T13:48:16.000Z | null | false | 9ffaa43ad4f7a844512d06621fa8b63721232f1e | [] | [] | https://huggingface.co/datasets/SetFit/wnli/resolve/main/README.md | # Glue WNLI
This dataset is a port of the official [`wnli` dataset](https://huggingface.co/datasets/glue/viewer/wnli/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
SkelterLabsInc | null | null | null | false | 880 | false | SkelterLabsInc/JaQuAD | 2022-10-25T09:06:40.000Z | null | false | 05600ff310a0970823e70f82f428893b85c71ffe | [] | [
"arxiv:2202.01764",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"language:ja",
"license:cc-by-sa-3.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:ex... | https://huggingface.co/datasets/SkelterLabsInc/JaQuAD/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- ja
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: "JaQuAD: Japanese Question Answering Dataset"
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- questio... |
SoLID | null | @inproceedings{liguori-etal-2021-shellcode,
title = "{S}hellcode{\_}{IA}32: A Dataset for Automatic Shellcode Generation",
author = "Liguori, Pietro and
Al-Hossami, Erfan and
Cotroneo, Domenico and
Natella, Roberto and
Cukic, Bojan and
Shaikh, Samira",
booktitle = "Pro... | Shellcode_IA32 is a dataset for shellcode generation from English intents. The shellcodes are compilable on Intel Architecture 32-bits. | false | 426 | false | SoLID/shellcode_i_a32 | 2022-10-21T16:15:52.000Z | shellcode-ia32 | false | 5d084e44fef9c943cc98c5b4a6320cc51001f569 | [] | [
"arxiv:2104.13100",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:found",
"language:code",
"language:en",
"license:gpl-3.0",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/SoLID/shellcode_i_a32/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- found
language:
- code
- en
license:
- gpl-3.0
multilinguality:
- translation
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
paperswithcode_id: shellcode-ia32
-... |
SocialGrep | null | null | null | false | 325 | false | SocialGrep/one-million-reddit-confessions | 2022-07-01T18:48:52.000Z | null | false | 55ea22daf606f8305cde921f5a60e9a1989272c5 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/one-million-reddit-confessions/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-million-reddit-confessions
## Table of Contents
- [Dataset Description](#dat... |
SocialGrep | null | null | null | false | 339 | false | SocialGrep/one-million-reddit-jokes | 2022-07-01T18:48:46.000Z | null | false | c3f8706ec95b94882246edd68b74410080911ecc | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/one-million-reddit-jokes/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-million-reddit-jokes
## Table of Contents
- [Dataset Description](#dataset-d... |
SocialGrep | null | null | null | false | 326 | false | SocialGrep/one-million-reddit-questions | 2022-07-25T18:57:10.000Z | null | false | e23c47a0aa8fbb2cd63538dea1dc977e2e0f2647 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/one-million-reddit-questions/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-million-reddit-questions
## Table of Contents
- [Dataset Description](#datas... |
SocialGrep | null | null | This corpus contains the complete data for the activity of the subreddit /r/India from Sep 30, 2020 to Sep 30, 2021. | false | 481 | false | SocialGrep/one-year-of-r-india | 2022-07-01T18:48:19.000Z | null | false | 83362992f86cdfe9cd057069407d943f1baa2976 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/one-year-of-r-india/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-year-of-r-india
## Table of Contents
- [Dataset Description](#dataset-descri... |
SocialGrep | null | null | This corpus contains the complete data for the activity on seven major cryptocurrency subreddits for the entire month of August 2021. | false | 486 | false | SocialGrep/reddit-crypto-aug-2021 | 2022-07-01T19:08:05.000Z | null | false | d6b971e2c735261ffba9ec44a60ff4ee492fc431 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/reddit-crypto-aug-2021/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for reddit-crypto-aug-2021
## Table of Contents
- [Dataset Description](#dataset-des... |
SocialGrep | null | null | This corpus contains the complete data for the activity on subreddit /r/NoNewNormal for the entire duration of its existence. | false | 485 | false | SocialGrep/reddit-nonewnormal-complete | 2022-07-01T19:02:06.000Z | null | false | 70a0d87706eb429c9ecbefe862d8d7ef0e0c7837 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/reddit-nonewnormal-complete/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for reddit-nonewnormal-complete
## Table of Contents
- [Dataset Description](#datase... |
SocialGrep | null | null | This corpus contains the complete data for the activity on /r/WallStreetBets for the entire month of August 2021. | false | 489 | false | SocialGrep/reddit-wallstreetbets-aug-2021 | 2022-07-01T19:15:07.000Z | null | false | 0de5fd81c695f468b56d8274241e1ad3f40ae9ac | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/reddit-wallstreetbets-aug-2021/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for reddit-wallstreetbets-aug-2021
## Table of Contents
- [Dataset Description](#dat... |
SocialGrep | null | null | A spiritual successor to our One Million Questions, this NLP dataset contains an outstanding ten million of /r/AskReddit answers, going back from the end of November of 2020. | false | 487 | false | SocialGrep/ten-million-reddit-answers | 2022-07-01T17:38:25.000Z | null | false | 077b6add1d663d3168679a0329eb13b110c3f79a | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/ten-million-reddit-answers/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for ten-million-reddit-answers
## Table of Contents
- [Dataset Description](#datas... |
SocialGrep | null | null | null | false | 327 | false | SocialGrep/the-2022-trucker-strike-on-reddit | 2022-07-01T18:00:49.000Z | null | false | b4fd711a8bdf95379deddedec9c10abd428cf8ab | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/the-2022-trucker-strike-on-reddit/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-2022-trucker-strike-on-reddit
## Table of Contents
- [Dataset Description](#... |
SocialGrep | null | null | This dataset attempts to capture the full extent of COVID-19 discussion across the entire site of Reddit. All posts and comments found to mention the term 'COVID' as of 2021-10-25 have been gathered from the site. | false | 482 | false | SocialGrep/the-reddit-covid-dataset | 2022-07-01T18:40:57.000Z | null | false | 63d8c86b1e3c714fd00c98c986eef9e5c6914b26 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/the-reddit-covid-dataset/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-reddit-covid-dataset
## Table of Contents
- [Dataset Description](#dataset-d... |
SocialGrep | null | null | This NLP dataset contains all the posts and comments in the subreddits of top 10 universities in the United States, chosen according to the 2019 Forbes ranking. | false | 482 | false | SocialGrep/top-american-universities-on-reddit | 2022-07-25T18:57:00.000Z | null | false | 4e365e048efa0d81fd4ceb4bd79b0be8b9b69fe7 | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/top-american-universities-on-reddit/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for top-american-universities-on-reddit
## Table of Contents
- [Dataset Description... |
Sunbird | null | null | null | false | 325 | false | Sunbird/salt-dataset | 2022-03-28T13:04:56.000Z | null | false | bfca53175d032213e8bb52537ef9c5c5c504e8e6 | [] | [] | https://huggingface.co/datasets/Sunbird/salt-dataset/resolve/main/README.md | A parallel text corpus, **SALT -- (Sunbird African Language Translation Dataset)**, was created for five Ugandan languages (Luganda,
Runyankore, Acholi, Lugbara and Ateso) and various methods were explored to train and evaluate translation models. |
SuperAI2-Machima | null | null | null | false | 324 | false | SuperAI2-Machima/ThaiQA_LST20 | 2022-02-25T06:29:22.000Z | null | false | 8156e2a3041b6fb41f722e237a96a3e12b3491e8 | [] | [
"tags:question-generation dataset",
"tags:qa dataset",
"language:thai",
"language:th",
"datasets:LST20",
"license:mit"
] | https://huggingface.co/datasets/SuperAI2-Machima/ThaiQA_LST20/resolve/main/README.md | ---
tags:
- question-generation dataset
- qa dataset
language:
- thai
- th
datasets:
- LST20
license: mit
---
[SuperAI Engineer Season 2](https://superai.aiat.or.th/) , [Machima](https://machchima.superai.me/)
Machima_ThaiQA_LST20 เป็นชุดข้อมูลที่สกัดหาคำถาม และคำตอบ จากบทความในชุดข้อมูล LST20 โดยสกัดได้คำถาม-ตอบทั... |
SuperAI2-Machima | null | null | null | false | 19 | false | SuperAI2-Machima/Yord_ThaiQA_LST20 | 2022-02-25T06:31:36.000Z | null | false | 3185d6f6dfc1ddf52fcc4361fe040e42089079e1 | [] | [] | https://huggingface.co/datasets/SuperAI2-Machima/Yord_ThaiQA_LST20/resolve/main/README.md | พี่ยอด และน้อง ๆ ในทีมบ้านมัณิชมา ร่วมกันสร้างชุดข้อมูล คำถาม - คำตอบ จากชุดข้อมูล LST-20
โดยใช้ POS และ NER เพื่อมาสร้างชุดประโยคคำถาม
ได้ข้อมูลคำถาม - ตอบ ทั้งหมดประมาณ 1,000 แถว
|
TRoboto | null | null | null | false | 167 | false | TRoboto/masc | 2021-08-16T19:34:57.000Z | null | false | ae9327c6e338e0dc74c821358d8f926ca99009e6 | [] | [] | https://huggingface.co/datasets/TRoboto/masc/resolve/main/README.md | #MASC
The dataset will be available soon. |
TRoboto | null | @software{Al-Fetyani_Maha_Processing_Library_2021,
author = {Al-Fetyani, Mohammad},
month = {11},
title = {{Maha Processing Library}},
url = {https://github.com/TRoboto/Maha},
year = {2021}
} | List of Arabic first names with meaning and origin of most names | false | 323 | false | TRoboto/names | 2022-01-29T16:33:25.000Z | null | false | 8b370cd6d175cfdfaed3b978d6f583b3d0ebd801 | [] | [
"project:Maha",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/TRoboto/names/resolve/main/README.md | ---
project: Maha
license: cc-by-4.0
---
## Dataset Summary
It includes list of Arabic names with meaning and origin of most names
|
Tahsin-Mayeesha | null | null | null | false | 324 | false | Tahsin-Mayeesha/Bengali-SQuAD | 2022-10-25T09:06:50.000Z | null | false | e441169d5d9a7a666058f3b00f466bc824e2905f | [] | [
"language:bn",
"multilinguality:monolingual",
"task_categories:question-answering"
] | https://huggingface.co/datasets/Tahsin-Mayeesha/Bengali-SQuAD/resolve/main/README.md | ---
language:
- bn
multilinguality:
- monolingual
task_categories:
- question-answering
---
# Overview
This dataset contains the data for the paper [Deep learning based question answering system in Bengali](https://www.tandfonline.com/doi/full/10.1080/24751839.2020.1833136). It is a translated version of [SQuAD 2.0](h... |
Tatyana | null | null | null | false | 361 | false | Tatyana/ru_sentiment_dataset | 2021-05-20T00:57:22.000Z | null | false | a66a66ee3a858c2b59e056b3fb7dfaf501fc5425 | [] | [
"language:ru",
"tags:sentiment",
"tags:text-classification"
] | https://huggingface.co/datasets/Tatyana/ru_sentiment_dataset/resolve/main/README.md | ---
language:
- ru
tags:
- sentiment
- text-classification
---
# Dataset with sentiment of Russian text
Contains aggregated dataset of Russian texts from 6 datasets.
## Labels meaning
0: NEUTRAL
1: POSITIVE
2: NEGATIVE
## Datasets
**[Sentiment Analysis in Russian](https://www.kaggle.com/c/sentiment-anal... |
TristanBehrens | null | null | null | false | 362 | false | TristanBehrens/js-fakes-4bars | 2022-01-03T15:53:23.000Z | null | false | c5e97b6dd4236a9868df73d6ae176b4ae3efe78c | [] | [] | https://huggingface.co/datasets/TristanBehrens/js-fakes-4bars/resolve/main/README.md | # JSFakes (Dr. Tristan Behrens).
This is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:
[js-fakes.git](https://github.com/omarperacha/js-fakes.git)
The representation is four tracks with four bars per track.
## Purpose.
This dataset is a good starting point for ... |
TurkuNLP | null | null | null | false | 371 | false | TurkuNLP/register_oscar | 2021-12-02T10:35:14.000Z | null | false | dc294b9220042071e7640ee2b0332a6fbcda1026 | [] | [] | https://huggingface.co/datasets/TurkuNLP/register_oscar/resolve/main/README.md | # Dataset Card for register_oscar
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... |
TurkuNLP | null | @inproceedings{kanerva-etal-2021-finnish,
title = {Finnish Paraphrase Corpus},
author = {Kanerva, Jenna and Ginter, Filip and Chang, Li-Hsin and Rastas, Iiro and Skantsi, Valtteri and Kilpeläinen, Jemina and Kupari, Hanna-Mari and Saarni, Jenna and Sevón, Maija and Tarkka, Otto},
booktitle = {Proceedings of the 2... | Turku Paraphrase Corpus is a dataset of 104,645 manually annotated Finnish paraphrases. The vast majority of the data is classified as a paraphrase either in the given context, or universally. | false | 953 | false | TurkuNLP/turku_paraphrase_corpus | 2022-07-01T15:25:27.000Z | null | false | e4428e399de70a21b8857464e76f0fe859cabe05 | [] | [
"annotations_creators:expert-generated",
"language:fi",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-classification",
"task_categories:sentence-similarity",
"task_categories:text2text-generation",
"task_catego... | https://huggingface.co/datasets/TurkuNLP/turku_paraphrase_corpus/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- expert-generated
language_creators: []
language:
- fi
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Turku Paraphrase Corpus
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
- sentence-similarity
- text2text-gener... |
Tyler | null | null | null | false | 166 | false | Tyler/wikimatrix_collapsed | 2021-04-13T19:54:24.000Z | null | false | 0371e35968fd4adfa2d1f6bd5e009c6e2b842f81 | [] | [] | https://huggingface.co/datasets/Tyler/wikimatrix_collapsed/resolve/main/README.md | Transformation of AI.FB's Wikimatrix dataset. Combined rows containing translations of a single source sentence into one consolidated row, applying a score threshold of 1.03 to remove poor translations. |
Vishnu393831 | null | null | null | false | 167 | false | Vishnu393831/VICTORY_dataset | 2022-02-12T04:21:20.000Z | null | false | ddf3afc5524122e190e7ea9cb9271b20facc92e7 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Vishnu393831/VICTORY_dataset/resolve/main/README.md | ---
license: afl-3.0
---
|
Wikidepia | null | null | null | false | 326 | false | Wikidepia/IndoParaCrawl | 2021-04-13T10:22:22.000Z | null | false | 76133a5c0f1d27bfb8521dad6783490cd157e730 | [] | [] | https://huggingface.co/datasets/Wikidepia/IndoParaCrawl/resolve/main/README.md | # IndoParaCrawl
IndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.
Thanks HuggingFace for providing free storage for datasets <3.
|
Wittgensteinian | null | null | null | false | 22 | false | Wittgensteinian/KR3 | 2022-07-02T00:32:04.000Z | null | false | eb7d992fa63431b34e3744b77a43e3f3c39b0991 | [] | [
"language:ko",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1m",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/Wittgensteinian/KR3/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- ko
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: KR3
size_categories:
- 100K<n<1m
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
### KR3: Korean Restaurant Reviews with Ratings
K... |
WyrdCurt | null | null | null | false | 167 | false | WyrdCurt/AO4W | 2021-07-26T12:03:27.000Z | null | false | cdd31747121aded91fb44cce3b7ed23fd42bbe93 | [] | [] | https://huggingface.co/datasets/WyrdCurt/AO4W/resolve/main/README.md | # Archive Of Our Own Original Works (AO4W)
**Warning! Many/most of these files may be NSFW!**
Approximately 2GB of text files from Archive of Our Own; specifically, files labeled "original work" or some variation. For training fiction models. I recommend that you clean the text as needed for your purposes. |
XiangXiang | null | null | null | false | 165 | false | XiangXiang/clt | 2021-04-28T02:08:29.000Z | null | false | dbf39a35fef11582622433b7f031c876c6b29d6f | [] | [] | https://huggingface.co/datasets/XiangXiang/clt/resolve/main/README.md | My new dataset |
Yeva | null | null | null | false | 323 | false | Yeva/arm-summary | 2021-11-04T12:27:05.000Z | null | false | 39507b2b14208356ec084136ed40c10b0b0b9527 | [] | [] | https://huggingface.co/datasets/Yeva/arm-summary/resolve/main/README.md | annotations_creators:
- other
language_creators:
- other
languages:
- hy-AM
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: arm-sum
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization |
Yves | null | @inproceedings{
author = {Michel Pluss, Lukas Neukom, Manfred Vogel},
title = {Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus},
pages = {1-5},
year = 2020
} | Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus (Michel Plüss et. al.)
The inputs are a Swiss German audio recording of arbitrary length, e.g. in FLAC format, and the corresponding manual Standard German text transcript. The audio file is transcribed with Amazon Tra... | false | 323 | false | Yves/fhnw_swiss_parliament | 2022-10-21T16:17:07.000Z | null | false | c0ca863a6b4b89e9c1f3cbf56131487a42cd61cb | [] | [
"arxiv:2010.02810",
"annotations_creators:other",
"language_creators:other",
"language:sg",
"license:mit",
"multilinguality:monolingual",
"size_categories:90K<n<150K",
"task_ids:automatic-speech-recognition"
] | https://huggingface.co/datasets/Yves/fhnw_swiss_parliament/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- sg
license:
- mit
multilinguality:
- monolingual
size_categories:
sg:
- 90K<n<150K
task_categories:
- cross-language-transcription
task_ids:
- automatic-speech-recognition
---
# Dataset Card fhnw_swiss_parliament
## Table of Contents
- [Data... |
abdusah | null | null | null | false | 9 | false | abdusah/masc | 2022-07-01T15:28:48.000Z | null | false | c21bf338d297f06ff5e66674dcf6e18e64c9fa53 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:ar",
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/abdusah/masc/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
license:
- cc-by-nc-4.0
multilinguality: []
paperswithcode_id: []
pretty_name: 'MASC'
size_categories:
source_datasets: []
task_categories: []
task_ids: []
---
# Dataset Card for MASC: MASSIVE ARABIC SPEECH CORPUS
## Table of Co... |
abdusah | null | null | null | false | 18 | false | abdusah/masc_dev | 2022-07-01T15:28:05.000Z | null | false | 89794f9658be92aa76015bd9ae1665e95423f092 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:ar",
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/abdusah/masc_dev/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
license:
- cc-by-nc-4.0
multilinguality: []
paperswithcode_id: []
pretty_name: 'MASC'
size_categories:
source_datasets: []
task_categories: []
task_ids: []
---
# Dataset Card for MASC: MASSIVE ARABIC SPEECH CORPUS
## Table of Co... |
abhishek | null | null | null | false | 326 | false | abhishek/autonlp-data-prodigy-10 | 2022-10-25T09:07:06.000Z | null | false | 84a8e6a1c9e5e77c1e1893a61ad136fe9d0f8fa1 | [] | [
"language:en"
] | https://huggingface.co/datasets/abhishek/autonlp-data-prodigy-10/resolve/main/README.md | ---
language:
- en
---
# AutoNLP Dataset for project: prodigy-10
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset De... |
abwicke | null | null | null | false | 166 | false | abwicke/C-B-R | 2021-03-19T16:45:29.000Z | null | false | d0f73118d7482d995d375bc30a25e24bd560c1a9 | [] | [] | https://huggingface.co/datasets/abwicke/C-B-R/resolve/main/README.md | https://jobs.americanbar.org/profile/cbr-watch-coming-2-america-2021-full-movie-hd-online-free/1596017/
https://jobs.americanbar.org/profile/cbr-watch-zack-snyders-justice-league-2021-full-movie-hd-online-free/1596037/
https://jobs.americanbar.org/profile/cbr-watch-tom-jerry-2021-full-movie-hd-online-free/1596053/
http... |
abwicke | null | null | null | false | 165 | false | abwicke/koplo | 2021-03-18T15:43:39.000Z | null | false | ddb885664c0d9106972d7b4ac0113912f8adf914 | [] | [] | https://huggingface.co/datasets/abwicke/koplo/resolve/main/README.md | https://jobs.shrm.org/profile/free-watch-full-raya-and-the-last-dragon-2021/1589725/
https://jobs.shrm.org/profile/full-watch-raya-and-the-last-dragon-2021-hd-online-full-free-123movies/1589732/
https://jobs.shrm.org/profile/123movies-watch-raya-and-the-last-dragon-2021-hd-online-full-free-streaming/1589735/
https://jo... |
afasafen | null | null | null | false | 167 | false | afasafen/mydataset | 2022-02-03T03:48:06.000Z | null | false | e18370c75c3d6160743a9454509b18e3bb30f57f | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/afasafen/mydataset/resolve/main/README.md | ---
license: afl-3.0
---
|
ai4bharat | null | @misc{ramesh2021samanantar,
title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
author={Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshm... | Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu. The corpus has 49.6M sentence pairs between English to Indian Languages. | false | 1,935 | false | ai4bharat/samanantar | 2022-10-13T15:21:08.000Z | null | false | 815cbd5083c8dc6ce7fb6c7c0706cadec987a79e | [] | [
"arxiv:2104.05596",
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"language:as",
"language:bn",
"language:gu",
"language:hi",
"language:kn",
"language:ml",
"language:mr",
"language:or",
"language:pa",
"language:ta",
"language:te",
"license:cc-by-nc-4.0... | https://huggingface.co/datasets/ai4bharat/samanantar/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- translation
pretty_name: Samanantar
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
... |
akumar33 | null | null | null | false | 362 | false | akumar33/manufacturing | 2021-10-14T04:51:48.000Z | null | false | 0462fb87f7824d11f1d4849f24aa265289e04816 | [] | [] | https://huggingface.co/datasets/akumar33/manufacturing/resolve/main/README.md | This dataset is associated with FabNER paper. https://link.springer.com/article/10.1007/s10845-021-01807-x
Kindly cite if you use it. |
albertvillanova | null | null | null | false | 325 | false | albertvillanova/carbon_24 | 2022-10-24T15:25:03.000Z | null | false | b5ecd28e4639b2a38fcb5cf3229d76224887635c | [] | [
"arxiv:2110.06197",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:cif",
"license:mit",
"multilinguality:other-crystallography",
"size_categories:unknown",
"task_categories:other",
"tags:material-property-optimization",
"tags:material-reconstruction",
... | https://huggingface.co/datasets/albertvillanova/carbon_24/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- cif
license:
- mit
multilinguality:
- other-crystallography
size_categories:
- unknown
source_datasets: []
task_categories:
- other
task_ids: []
pretty_name: Carbon-24
tags:
- material-property-optimization
- material-recon... |
albertvillanova | null | \ | SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts. | false | 326 | false | albertvillanova/sat | 2022-10-24T15:25:54.000Z | null | false | f72e0cbcd52596bac666dead2f266f3e3bafe407 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"language:vi",
"license:unknown",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"source_datasets:extended|bible_para",
"source_datasets:extended|kde4",
"source_datasets:extend... | https://huggingface.co/datasets/albertvillanova/sat/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
- vi
license:
- unknown
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- original
- extended|bible_para
- extended|kde4
- extended|opus_gnome
- extended|open_subtitles
- extended|tatoeba
task_categories:
- t... |
alexantonov | null | null | null | false | 167 | false | alexantonov/chuvash_parallel | 2022-10-24T15:26:28.000Z | null | false | fc55183e7e4403d36027c13914f4403e151528d1 | [] | [
"language:cv",
"multilinguality:translation",
"source_datasets:original",
"task_ids:machine-translation"
] | https://huggingface.co/datasets/alexantonov/chuvash_parallel/resolve/main/README.md | ---
language:
- cv
multilinguality:
- translation
source_datasets:
- original
task_ids:
- machine-translation
---
# Dataset Description
## Chuvash-Russian parallel corpus
1M parallel sentences. Manually aligned
## Chuvash-English parallel corpus.
200K parallel sentences. Automatically aligned
## Contributions
Fo... |
alistvt | null | null | null | false | 326 | false | alistvt/coqa-stories | 2022-01-20T22:17:46.000Z | null | false | f935af6895c7590932f5ac4f4764e4319b0c18ed | [] | [] | https://huggingface.co/datasets/alistvt/coqa-stories/resolve/main/README.md | This is a dataset containing just stories of the CoQA dataset with their respective ids. This can be used in the pretraining phase for the MLM tasks. |
allegro | null | null | null | false | 321 | false | allegro/klej-cdsc-e | 2022-08-30T06:58:29.000Z | null | false | 3baec930b2f10cc837af55dcbbeab240c6643ad2 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:pl",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:natural-language-inference"
] | https://huggingface.co/datasets/allegro/klej-cdsc-e/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- pl
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: 'CDSC-E'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- natural-language-inference
---
#... |
allegro | null | null | null | false | 332 | false | allegro/klej-dyk | 2022-10-26T09:01:41.000Z | null | false | dd7c3c3bb336738c853ea17c64b85d876e6714a9 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:pl",
"license:cc-by-sa-3.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:open-domain-qa"
] | https://huggingface.co/datasets/allegro/klej-dyk/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- pl
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
pretty_name: Did you know?
---
# klej-dyk
## Descriptio... |
allegro | null | null | null | false | 323 | false | allegro/klej-polemo2-in | 2022-08-30T06:57:28.000Z | null | false | 9843af31facd613eb091deaa4141df4331d4f918 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:pl",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/allegro/klej-polemo2-in/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- pl
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: 'PolEmo2.0-IN'
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# k... |
allegro | null | null | null | false | 324 | false | allegro/klej-polemo2-out | 2022-08-30T06:57:07.000Z | null | false | b1a18b27a37cfb366969e1aa5721f8bf6ec5e179 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:pl",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/allegro/klej-polemo2-out/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- pl
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: 'PolEmo2.0-OUT'
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# ... |
allegro | null | null | null | false | 338 | false | allegro/klej-psc | 2022-10-26T09:01:54.000Z | null | false | 9585582aef37e7747ef174b0ec3b74855da8bad2 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:pl",
"license:cc-by-sa-3.0",
"multilinguality:monolingual",
"size_categories:5K",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"tags:paraphrase-classification"
] | https://huggingface.co/datasets/allegro/klej-psc/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- pl
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
size_categories:
- 5K
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
pretty_name: Polish Summaries Corpus
tags:
- paraphrase-classific... |
allenai | null | null | null | false | 9,724 | false | allenai/c4 | 2021-11-09T20:11:36.000Z | null | false | 607bd4c8450a42878aa9ddc051a65a055450ef87 | [] | [] | https://huggingface.co/datasets/allenai/c4/resolve/main/README.md | This is the processed version of [Google's C4 dataset](https://www.tensorflow.org/datasets/catalog/c4).
We prepared five variants of the data: `en`, `en.noclean`, `en.noblocklist`, `realnewslike`, and `multilingual`.
For reference, these are the sizes of the variants:
- `en`: 305GB
- `en.noclean`: 2.3TB
- `en.nobloc... |
allenai | null | @inproceedings{
cattan2021scico,
title={SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts},
author={Arie Cattan and Sophie Johnson and Daniel S. Weld and Ido Dagan and Iz Beltagy and Doug Downey and Tom Hope},
booktitle={3rd Conference on Automated Knowledge Base Constructio... | SciCo is a dataset for hierarchical cross-document coreference resolution
over scientific papers in the CS domain. | false | 165 | false | allenai/scico | 2022-08-21T21:30:24.000Z | scico | false | a41f97334742af7ce96dee4e85b81c41f4ac03ad | [] | [
"annotations_creators:domain experts",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"task_ids:cross-document-coreference-resolution",
"task_ids:coreference-resolution"
] | https://huggingface.co/datasets/allenai/scico/resolve/main/README.md | ---
annotations_creators:
- domain experts
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
task_categories:
- structure-prediction
task_ids:
- cross-document-coreference-resolution
- coreference-resolution
paperswithcode_id: scico
---
# Dataset Card for SciCo
## Table of Contents
- [Dataset Descri... |
alperbayram | null | null | null | false | 19 | false | alperbayram/HaberTweetlerininDuyguAnaliziVeSiniflandirma | 2022-02-27T11:56:20.000Z | null | false | b898f74f38fcc62ba4918063ce990cf3113b487f | [] | [] | https://huggingface.co/datasets/alperbayram/HaberTweetlerininDuyguAnaliziVeSiniflandirma/resolve/main/README.md | # Dataset Card for [Haber Tweetlerinin Duygu Analizi Ve Siniflandirma]
Github repo
[repo](https://github.com/alperbayram/Duygu_Analizi_ve_Metin_Siniflandirma)
## Dataset Description
Twitter verileri üzerinde Türkçe Bert modelleri kullanarak yapılan duygu analizi ve metin sınıflandırma işlemleri ve görselleştirilmesi. ... |
alperbayram | null | null | null | false | 21 | false | alperbayram/Tweet_Siniflandirma | 2022-10-25T10:02:12.000Z | null | false | 53e91b2f22da49eb9579fb96cb8842922a4cd83c | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:tr",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:sentiment-classification"
] | https://huggingface.co/datasets/alperbayram/Tweet_Siniflandirma/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- crowdsourced
language:
- tr
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: Turkish Sentiment Dataset
---
# References
- [alper bayram](https://github... |
alperbayram | null | null | null | false | 324 | false | alperbayram/TwitterDuygu | 2021-11-19T21:00:07.000Z | null | false | bae10b86115c9807026d3fb2ad6d78e894f79d02 | [] | [] | https://huggingface.co/datasets/alperbayram/TwitterDuygu/resolve/main/README.md |
language:
- tr
# negatif 54%
# pozitif 46%
|
alperiox | null | null | null | false | 324 | false | alperiox/autonlp-data-user-review-classification | 2022-10-25T09:07:13.000Z | null | false | 3bfb8811b6b14e4cb8f12939b01a0a85e188871b | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/alperiox/autonlp-data-user-review-classification/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoNLP Dataset for project: user-review-classification
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data... |
alvp | null | null | null | false | 323 | false | alvp/autonlp-data-alberti-stanza-names | 2021-11-19T13:26:10.000Z | null | false | 003479f50b25b728910462fba3e8de35c4934c63 | [] | [
"task_categories:text-classification"
] | https://huggingface.co/datasets/alvp/autonlp-data-alberti-stanza-names/resolve/main/README.md | ---
task_categories:
- text-classification
---
# AutoNLP Dataset for project: alberti-stanza-names
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data S... |
alvp | null | null | null | false | 323 | false | alvp/autonlp-data-alberti-stanzas-finetuning | 2021-11-19T12:46:22.000Z | null | false | da5c716709eee5177ea77101e9a6c6f35accac76 | [] | [
"task_categories:text-classification"
] | https://huggingface.co/datasets/alvp/autonlp-data-alberti-stanzas-finetuning/resolve/main/README.md | ---
task_categories:
- text-classification
---
# AutoNLP Dataset for project: alberti-stanzas-finetuning
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [... |
anechaev | null | null | null | false | 322 | false | anechaev/med_history | 2022-02-07T13:47:33.000Z | null | false | 99d41717a7cd50352cbe3f0451871ceda32f08f2 | [] | [
"license:mit"
] | https://huggingface.co/datasets/anechaev/med_history/resolve/main/README.md | ---
license: mit
---
|
anechaev | null | null | null | false | 321 | false | anechaev/ru_med_history | 2022-02-12T08:51:53.000Z | null | false | 67974a09f5d96f559845954d31eb186854ef4a53 | [] | [] | https://huggingface.co/datasets/anechaev/ru_med_history/resolve/main/README.md | # Medical Histories Ru-ru
Medical Histories from Russian medical textbooks.
A text dataset with medical histories.
All dates were masked into <DATE>. |
animesh | null | null | null | false | 319 | false | animesh/autonlp-data-peptides | 2021-10-12T09:08:03.000Z | null | false | 8eee77773d24963cf379374d79f5b4cad53f045e | [] | [] | https://huggingface.co/datasets/animesh/autonlp-data-peptides/resolve/main/README.md | [Deep learning the collisional cross sections of the peptide universe from a million experimental values](https://www.nature.com/articles/s41467-021-21352-8)
[Data](http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD017703) generated from [MaxQuant](http://coxdocs.org/doku.php?id=maxquant:start) output
``... |
maastrichtlawtech | null | null | null | false | 91 | false | maastrichtlawtech/bsard | 2022-10-10T16:00:54.000Z | bsard | false | c84bbf219cef89afaa21f05a386bf7c11f6ed05f | [] | [
"arxiv:2108.11792",
"annotations_creators:expert-generated",
"language_creators:found",
"language:fr",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-retrieval",
"task_ids:document-retrieval"
] | https://huggingface.co/datasets/maastrichtlawtech/bsard/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- fr
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: BSARD
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-retrieval
task_ids:
- document-retrieval
paperswithcode_id: bsard
---
# Dat... |
anton-l | null | @dataset{ganesh_sinisetty_2021_5036977,
author = {Ganesh Sinisetty and
Pavlo Ruban and
Oleksandr Dymov and
Mirco Ravanelli},
title = {CommonLanguage},
month = jun,
year = 2021,
publisher = {Zenodo},
version = {0.1},
... | This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
The dataset has been extracted from CommonVoice to train language-id systems. | false | 318 | false | anton-l/common_language | 2022-10-21T16:20:41.000Z | null | false | 4bb9fd7e7def03162cf2be1c5641bb0f21c6114d | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:ar",
"language:br",
"language:ca",
"language:cnh",
"language:cs",
"language:cv",
"language:cy",
"language:de",
"language:dv",
"language:el",
"language:en",
"language:eo",
"language:es",
"language:et",
"l... | https://huggingface.co/datasets/anton-l/common_language/resolve/main/README.md | ---
pretty_name: Common Language
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
- br
- ca
- cnh
- cs
- cv
- cy
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fr
- fy
- ia
- id
- it
- ja
- ka
- kab
- ky
- lv
- mn
- mt
- nl
- pl
- pt
- rm
- ro
- ru
- rw
- sah
- sl
- sv
- ta
- tr
- t... |
anton-l | null | @article{DBLP:journals/corr/abs-2105-01051,
author = {Shu{-}Wen Yang and
Po{-}Han Chi and
Yung{-}Sung Chuang and
Cheng{-}I Jeff Lai and
Kushal Lakhotia and
Yist Y. Lin and
Andy T. Liu and
Jiatong Shi and
... | Self-supervised learning (SSL) has proven vital for advancing research in
natural language processing (NLP) and computer vision (CV). The paradigm
pretrains a shared model on large volumes of unlabeled data and achieves
state-of-the-art (SOTA) for various tasks with minimal adaptation. However, the
speech processing co... | false | 1,119 | false | anton-l/superb | 2022-07-04T10:48:08.000Z | null | false | a4918158e431f54fe008405bcf20aac4d48f1334 | [] | [
"arxiv:2105.01051",
"annotations_creators:other",
"language_creators:other",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"source_datasets:extended|librispeech_asr",
"source_datasets:extended|other-librimix",
"source_data... | https://huggingface.co/datasets/anton-l/superb/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: SUPERB
size_categories:
- unknown
source_datasets:
- original
- extended|librispeech_asr
- extended|other-librimix
- extended|other-speech_commands
task_categories:
- speech-process... |
anton-l | null | @article{DBLP:journals/corr/abs-2105-01051,
author = {Shu{-}Wen Yang and
Po{-}Han Chi and
Yung{-}Sung Chuang and
Cheng{-}I Jeff Lai and
Kushal Lakhotia and
Yist Y. Lin and
Andy T. Liu and
Jiatong Shi and
... | Self-supervised learning (SSL) has proven vital for advancing research in
natural language processing (NLP) and computer vision (CV). The paradigm
pretrains a shared model on large volumes of unlabeled data and achieves
state-of-the-art (SOTA) for various tasks with minimal adaptation. However, the
speech processing co... | false | 5,189 | false | anton-l/superb_demo | 2022-04-14T13:54:54.000Z | null | false | 9748209f61d82b9359a960915ffe76946b02877a | [] | [] | https://huggingface.co/datasets/anton-l/superb_demo/resolve/main/README.md | # Disclaimer
This is a tiny subset of the SUPERB dataset, which is intended only for demo purposes!
See the full dataset here: https://huggingface.co/datasets/superb
|
anukaver | null | null | null | false | 321 | false | anukaver/EstQA | 2021-04-29T15:34:29.000Z | null | false | f663f00289d96702470a9118e2e3a2fa3adaf2fb | [] | [
"language:et"
] | https://huggingface.co/datasets/anukaver/EstQA/resolve/main/README.md | ---
language: et
---
# Estonian Question Answering dataset
* Dataset for extractive question answering in Estonian. It is based on Wikipedia articles, pre-filtered via PageRank. Annotation was done by one person.
* Train set includes 776 context-question-answer triplets. There are several possible answers per questio... |
anzorq | null | null | null | false | 323 | false | anzorq/kbd-ru-1.67M-temp | 2022-01-14T12:00:11.000Z | null | false | 6eebb4e70e0fcc9eaa4fe84318e3ade850105f2c | [] | [] | https://huggingface.co/datasets/anzorq/kbd-ru-1.67M-temp/resolve/main/README.md | kbd: web sites dump deduplicated latin script – 835K sentences
ru: wiki dump deduplicated – 835K sentences |
anzorq | null | null | null | false | 323 | false | anzorq/kbd-ru-temp | 2022-01-06T23:24:50.000Z | null | false | 2df1df40b21de9dba19a05cf5b1e349743253868 | [] | [] | https://huggingface.co/datasets/anzorq/kbd-ru-temp/resolve/main/README.md | test |
arjundd | null | null | null | false | 19 | false | arjundd/meddlr-data | 2022-03-23T23:30:18.000Z | null | false | 5203de11376752f86d1f68cebea822ee82b23569 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/arjundd/meddlr-data/resolve/main/README.md | ---
license: apache-2.0
---
|
arjunth2001 | null | null | null | false | 325 | false | arjunth2001/online_privacy_qna | 2021-11-10T08:53:10.000Z | null | false | c633b5c257a7adc28f782b1d5c5b60f9f391a31f | [] | [] | https://huggingface.co/datasets/arjunth2001/online_privacy_qna/resolve/main/README.md | Online Privacy Policy QnA Dataset
|
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [JaQuAD](https://github.com/SkelterLabsInc/JaQuAD) dataset for question generation (QG) task. The test set of the original
data is not publicly released, so we randomly sampled test questions from the training set. | false | 323 | false | lmqg/qg_jaquad | 2022-11-05T03:04:36.000Z | null | false | 0525ebf774daf00ea379a31788106e04543c66ce | [] | [
"arxiv:2210.03992",
"license:cc-by-sa-3.0",
"language:ja",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:SkelterLabsInc/JaQuAD",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_jaquad/resolve/main/README.md | ---
license: cc-by-sa-3.0
pretty_name: JaQuAD for question generation
language: ja
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: SkelterLabsInc/JaQuAD
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_jaquad"
## Da... |
lmqg | null | @inproceedings{ushio-etal-2022-generative,
title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
author = "Ushio, Asahi and
Alva-Manchego, Fernando and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Nat... | [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) evaluation set for the question generation (QG) models. The split
of test and development set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is
compatible with the [leader board](https://paperswithcode.com/sota/question-genera... | false | 365 | false | lmqg/qg_squad | 2022-11-05T03:04:23.000Z | null | false | d33bd1e41c6defb0d4813449993d02ffe1b9261c | [] | [
"arxiv:2210.03992",
"arxiv:1705.00106",
"license:cc-by-4.0",
"language:en",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:squad",
"task_categories:text-generation",
"task_ids:language-modeling",
"tags:question-generation"
] | https://huggingface.co/datasets/lmqg/qg_squad/resolve/main/README.md | ---
license: cc-by-4.0
pretty_name: SQuAD for question generation
language: en
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: squad
task_categories:
- text-generation
task_ids:
- language-modeling
tags:
- question-generation
---
# Dataset Card for "lmqg/qg_squad"
## Dataset Description
- **... |
aseifert | null | null | null | false | 322 | false | aseifert/merlin | 2022-10-21T16:21:58.000Z | null | false | 0f614d85fea423bf8579b3f7a622f51df835f414 | [] | [
"language:cz",
"language:de",
"language:it",
"multilinguality:translation",
"size_categories:unknown",
"task_ids:machine-translation"
] | https://huggingface.co/datasets/aseifert/merlin/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- cz
- de
- it
license: []
multilinguality:
- translation
pretty_name: merlin
size_categories:
- unknown
source_datasets: []
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
---
# MERLIN corpus
Project URL: https://merlin-platf... |
aseifert | null | null | null | false | 323 | false | aseifert/pie-synthetic | 2022-07-07T11:55:53.000Z | null | false | 23b4b8e85eba06d7737a5cc8180f91dedff0c7c8 | [] | [
"language:en",
"multilinguality:translation",
"size_categories:unknown",
"task_ids:machine-translation"
] | https://huggingface.co/datasets/aseifert/pie-synthetic/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license: []
multilinguality:
- translation
pretty_name: pie-synthetic
size_categories:
- unknown
source_datasets: []
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
---
# PIE synthetic dataset
Repo: https://github.com/awa... |
asi | null | @inproceedings{simoulin:hal-03265900,
TITLE = {{Un mod{\`e}le Transformer G{\'e}n{\'e}ratif Pr{\'e}-entrain{\'e} pour le \_\_\_\_\_\_ fran{\c c}ais}},
AUTHOR = {Simoulin, Antoine and Crabb{\'e}, Benoit},
URL = {https://hal.archives-ouvertes.fr/hal-03265900},
BOOKTITLE = {{Traitement Automatique des Langues Natu... | Wikitext-fr language modeling dataset consists of over 70 million tokens
extracted from the set of french Wikipedia articles that are classified as
"quality articles" or "good articles.". The aim is to replicate the English
benchmark. | false | 481 | false | asi/wikitext_fr | 2022-10-21T16:23:07.000Z | null | false | 813f30b157f1b66b44b224fa33c116cb493d27cc | [] | [
"arxiv:1609.07843",
"annotations_creators:no-annotation",
"language_creators:found",
"language:fr",
"language_bcp47:fr-FR",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/asi/wikitext_fr/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- fr
language_bcp47:
- fr-FR
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Wikitext-fr
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
---
# Dat... |
astarostap | null | null | null | false | 326 | false | astarostap/autonlp-data-antisemitism-2 | 2022-10-25T09:07:21.000Z | null | false | 3d2607f6782402be6ba0df77356d852410a71f04 | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/astarostap/autonlp-data-antisemitism-2/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoNLP Dataset for project: antisemitism-2
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
-... |
astremo | null | null | null | false | 326 | false | astremo/friendly_JA_corpus | 2022-02-11T13:46:29.000Z | null | false | 080b5dad7ad6901ea9383122037bad4b845bf38a | [] | [] | https://huggingface.co/datasets/astremo/friendly_JA_corpus/resolve/main/README.md | # friendly_JA-Corpus
friendly_JA is a parallel Japanese-to-Japanese corpus aimed at making Japanese easier/more accessible to occidental people by using the Latin/English derived katakana lexicon instead of the standard Sino-Japanese lexicon
The friendly_JA Corpus is based on the Friendly Japanese concept(フレンドリー日本語ORフ... |
ausgequetschtem | null | null | null | false | 167 | false | ausgequetschtem/jtrddfhfgh | 2021-04-03T15:02:50.000Z | null | false | 63e5142f155ee7e1ab228f9addb04aff183aaf3f | [] | [] | https://huggingface.co/datasets/ausgequetschtem/jtrddfhfgh/resolve/main/README.md | <a href="https://edu.wyoming.gov/wp-content/uploads/formidable/93/Watch-Raya-and-the-Last-Dragon-Online-03-April-2021.pdf">free robux generator</a>
<a href="https://www.esa.org/enjustice/wp-content/uploads/sites/28/formidable/4/Watch-Raya-and-the-Last-Dragon-Online-03-April-2021.pdf">free robux generator</a>
<a href="h... |
austin | null | null | null | false | 330 | false | austin/rheum_abstracts | 2022-01-04T05:10:23.000Z | null | false | 9af8812fde540df25170724cc989bbd008f79478 | [] | [] | https://huggingface.co/datasets/austin/rheum_abstracts/resolve/main/README.md | # Dataset Card for Rheumatology Abstracts
## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at https://github.com/cmcmaster1/pymed
## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains t... |
avanishcobaltest | null | null | null | false | 166 | false | avanishcobaltest/datasetavanish | 2022-02-10T17:43:26.000Z | null | false | fc6deba7bfad6cae99a6a5ed82344f9481209b91 | [] | [] | https://huggingface.co/datasets/avanishcobaltest/datasetavanish/resolve/main/README.md | <S>AAAAAAAAAAAAAAAA</s> <h1/onmouseover=alert(1)>aaaaaaaaaaaaa
|
badranx | null | P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) | mono corpus from http://www.opensubtitles.org/. Please check http://www.opensubtitles.org/ for the available corpora and licenses. | false | 320 | false | badranx/opus_raw | 2022-01-28T14:19:19.000Z | null | false | fabb9115e9f173c9aaa4897e5b2f3a49e74758a0 | [] | [] | https://huggingface.co/datasets/badranx/opus_raw/resolve/main/README.md | ## Load mono corpora from OPUS
OPUS provides many parallel corpora, but it has more data for a single language. This enables you to load any raw mono corpus from [opus.nlpl.eu](https://opus.nlpl.eu/). Please check [opus.nlpl.eu](https://opus.nlpl.eu/) for the available corpora and licenses. The targeted corpus is call... |
bavard | null | @article{zhang2018personalizing,
title={Personalizing dialogue agents: I have a dog, do you have pets too?},
author={Zhang, Saizheng and Dinan, Emily and Urbanek, Jack and Szlam, Arthur and Kiela, Douwe and Weston, Jason},
journal={arXiv preprint arXiv:1801.07243},
year={2018}
} | A version of the PersonaChat dataset that has been true-cased, and also has been given more normalized punctuation.
The original PersonaChat dataset is in all lower case, and has extra space around each clause/sentence separating
punctuation mark. This version of the dataset has more of a natural language look, with se... | false | 734 | false | bavard/personachat_truecased | 2021-04-23T13:28:30.000Z | null | false | be2fcc045e5f4a9a645527ffbf5ea627218f7c5e | [] | [] | https://huggingface.co/datasets/bavard/personachat_truecased/resolve/main/README.md | # A More Natural PersonaChat
## Dataset Summary
This dataset is a true-cased version of the PersonaChat dataset by Zhang et al. (2018).
The original PersonaChat dataset is all lower case, and has extra space around each
clause/sentence separating punctuation mark. This version of the dataset has more of a
natural lan... |
bemanningssitua | null | null | null | false | 166 | false | bemanningssitua/dplremjfjfj | 2021-03-28T15:36:22.000Z | null | false | f1cf75cbe2513fe6eb0f712ee403fef464b70445 | [] | [] | https://huggingface.co/datasets/bemanningssitua/dplremjfjfj/resolve/main/README.md | <a href="https://sites.google.com/view/fullwatchgodzillavskong2021wat">free robux generator</a>
<a href="https://sites.google.com/view/vvvbbbvvv">free robux generator</a>
<a href="https://sites.google.com/view/cccuuuccc">free robux generator</a>
<a href="https://sites.google.com/view/fullwatchgodzillavskong2021fre">fre... |
bertin-project | null | @article{2019t5,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {arXiv e-prints},
year = {2... | 50 million documents in Spanish extracted from mC4 applying perplexity sampling via mc4-sampling: "https://huggingface.co/datasets/bertin-project/mc4-sampling". Please, refer to BERTIN Project. The original dataset is the Multlingual Colossal, Cleaned version of Common Crawl's web crawl corpus (mC4), based on the Commo... | false | 641 | false | bertin-project/mc4-es-sampled | 2022-11-07T12:40:05.000Z | null | false | 007295ac7bf5b0ae268eb0d3ba14ba08546d6a17 | [] | [
"arxiv:1910.10683",
"annotations_creators:no-annotation",
"language_creators:found",
"language:es",
"license:odc-by",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"size_categories:1M<n<10M",
"size_categories:10M<n<100M",
"size_c... | https://huggingface.co/datasets/bertin-project/mc4-es-sampled/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- es
license:
- odc-by
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
- 1M<n<10M
- 10M<n<100M
- 100M<n<1B
source_datasets:
- mc4
- bertin-project/mc4-sampling
task_categories:
- text-generation
- fill-mask
task_ids:
- language-m... |
bertin-project | null | @article{2019t5,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {arXiv e-prints},
year = {2... | A sampling-enabled version of mC4, the colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is a version of the processed version of Google's mC4 dataset by AllenAI, in which sampling methods are implemented to perform on the fly. | false | 181 | false | bertin-project/mc4-sampling | 2022-11-07T12:40:51.000Z | mc4 | false | 99745f2a45f9a2672546eaa8abb8481a0dbfbd9f | [] | [
"arxiv:1910.10683",
"annotations_creators:no-annotation",
"language_creators:found",
"language:af",
"language:am",
"language:ar",
"language:az",
"language:be",
"language:bg",
"language:bn",
"language:ca",
"language:ceb",
"language:co",
"language:cs",
"language:cy",
"language:da",
"la... | https://huggingface.co/datasets/bertin-project/mc4-sampling/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- id
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ... |
bhadresh-savani | null | null | null | false | 323 | false | bhadresh-savani/web_split | 2021-10-15T06:42:18.000Z | null | false | 9f8542604b9332fc59b6abce30c84fca67dec62a | [] | [] | https://huggingface.co/datasets/bhadresh-savani/web_split/resolve/main/README.md | Work In progress! |
bhavnicksm | null | null | null | false | 335 | false | bhavnicksm/sentihood | 2022-10-25T09:07:23.000Z | null | false | fc4fb9e46f37bfe9ba27571358897924e8258bdc | [] | [
"arxiv:1610.03771",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:multi-class-classification",
"task_ids:natural-language-inference"
] | https://huggingface.co/datasets/bhavnicksm/sentihood/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: SentiHood Dataset
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- multi-class-classification
- natural... |
bhigy | null | @misc{pitt2007Buckeye,
title = {Buckeye {Corpus} of {Conversational} {Speech} (2nd release).},
url = {www.buckeyecorpus.osu.edu},
publisher = {Columbus, OH: Department of Psychology, Ohio State University (Distributor)},
author = {Pitt, M.A. and Dilley, L. and Johnson, K. and Kiesling, S. and Raymond, W. and Hume, E. a... | The Buckeye Corpus of conversational speech contains high-quality recordings
from 40 speakers in Columbus OH conversing freely with an interviewer. The
speech has been orthographically transcribed and phonetically labeled. | false | 353 | false | bhigy/buckeye_asr | 2022-10-24T15:32:04.000Z | null | false | 83897de5e66d71057570e94a8665af42d6adfe12 | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language:en",
"language_bcp47:en-US",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:automatic-speech-recognition",
"task_ids:speech-recognition"
] | https://huggingface.co/datasets/bhigy/buckeye_asr/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
language_bcp47:
- en-US
license:
- other
multilinguality:
- monolingual
pretty_name: Buckeye Corpus
size_categories:
- unknown
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids:
- speech-reco... |
bigscience | null | @misc{sanh2021multitask,
title={Multitask Prompted Training Enables Zero-Shot Task Generalization},
author={Victor Sanh and Albert Webson and Colin Raffel and Stephen H. Bach and Lintang Sutawika and Zaid Alyafeai and Antoine Chaffin and Arnaud Stiegler and Teven Le Scao and Arun Raja and Manan Dey and M Sa... | P3 (Public Pool of Prompts) is a collection of prompted English datasets covering a diverse set of NLP tasks. A prompt is the combination of an input template and a target template. The templates are functions mapping a data example into natural language for the input and target sequences. For example, in the case of a... | false | 31,522 | false | bigscience/P3 | 2022-07-01T15:29:42.000Z | null | false | f2cade250da5c5a79f89b629e608e69f047c5c27 | [] | [
"arxiv:2110.08207",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"task_categories:other"
] | https://huggingface.co/datasets/bigscience/P3/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: P3
size_categories:
- 100M<n<1B
task_categories:
- other
---
# Dataset Card for P3
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#datase... |
bigscience | null | null | null | false | null | false | bigscience/ester1_text | 2021-11-22T11:36:11.000Z | null | true | d6b740e1bee14e9acac643b51708fd26dca15445 | [] | [
"licenses:copyright"
] | https://huggingface.co/datasets/bigscience/ester1_text/resolve/main/README.md | |
bigscience | null | null | null | false | null | false | bigscience/ester2_text | 2021-11-22T11:43:01.000Z | null | true | 79132eee51f479b530b84777957d3c985589bb4d | [] | [
"licenses:copyright"
] | https://huggingface.co/datasets/bigscience/ester2_text/resolve/main/README.md | |
bigscience | null | @inproceedings{lison_16,
author = {Pierre Lison and
J{\"{o}}rg Tiedemann},
editor = {Nicoletta Calzolari and
Khalid Choukri and
Thierry Declerck and
Sara Goggi and
Marko Grobelnik and
Bente Maegaard and
Jo... | This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.
IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.opensubtitles.org/ to your website and to your reports and publications produced with the data!
This is a slightly cleaner version of the subtitle co... | false | 1 | false | bigscience/open_subtitles_monolingual | 2021-07-22T08:16:13.000Z | null | true | e9ec94158bf1509b1a4e1be4d42bdfda2bca8792 | [] | [
"annotations_creators:machine-generated",
"language_creators:found",
"languages:fr",
"languages:en",
"languages:zh-CN",
"languages:pt",
"languages:es",
"languages:ar",
"licenses:unknown",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:languag... | https://huggingface.co/datasets/bigscience/open_subtitles_monolingual/resolve/main/README.md | |
bigscience-catalogue-data | null | null | null | false | null | false | bigscience-catalogue-data/arxiv | 2022-02-01T20:56:39.000Z | null | true | 3f8555b995fc349d0d77f731f2f3c25b600b20d2 | [] | [] | https://huggingface.co/datasets/bigscience-catalogue-data/arxiv/resolve/main/README.md | |
bigscience-catalogue-data | null | null | null | false | null | false | bigscience-catalogue-data/leipzig_wortschatz_urdu-pk_web_2019_sentences | 2022-02-04T09:25:58.000Z | null | true | d8e26e0326251d925e52c99aebae3e940957267f | [] | [
"license:other"
] | https://huggingface.co/datasets/bigscience-catalogue-data/leipzig_wortschatz_urdu-pk_web_2019_sentences/resolve/main/README.md | |
bigscience-catalogue-data | null | null | null | false | null | false | bigscience-catalogue-data/leipzig_wortschatz_urdu_newscrawl_2016_sentences | 2022-02-04T09:18:39.000Z | null | true | 7841723635276e4c47b8cdcd4c389fd08731079e | [] | [
"license:other"
] | https://huggingface.co/datasets/bigscience-catalogue-data/leipzig_wortschatz_urdu_newscrawl_2016_sentences/resolve/main/README.md |
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