id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
DISCOX/DISCO-10K-random | 2023-06-20T14:25:17.000Z | [
"license:cc-by-4.0",
"region:us"
] | DISCOX | null | null | 1 | 127 | 2023-06-10T19:17:26 | ---
license: cc-by-4.0
dataset_info:
features:
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dtype: string
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- name: track_name_spotify
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- name: preview_url_spotify
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- name: video_view_count... | 2,517 | [
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jason-lee08/TinyStoriesWithExclamationsSmall | 2023-08-20T03:52:44.000Z | [
"region:us"
] | jason-lee08 | null | null | 0 | 127 | 2023-08-03T01:20:07 | ---
configs:
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data_files:
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path: data/train-*
- split: validation
path: data/validation-*
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magnifi/contextual-tiny-v1 | 2023-09-13T17:22:57.000Z | [
"region:us"
] | magnifi | null | null | 0 | 127 | 2023-09-13T17:22:53 | ---
configs:
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path: data/train-*
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hahminlew/kream-product-blip-captions | 2023-10-16T10:33:42.000Z | [
"task_categories:text-to-image",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-sa-4.0",
"fashion",
"cloth",
"computer-vision",
"region:us"
] | hahminlew | null | null | 2 | 127 | 2023-10-10T23:39:49 | ---
license: cc-by-nc-sa-4.0
dataset_info:
features:
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dtype: image
- name: text
dtype: string
splits:
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num_bytes: 1363424468
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download_size: 1328309729
dataset_size: 1363424468
configs:
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p... | 2,152 | [
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GEM/turku_hockey_data2text | 2022-10-24T15:30:33.000Z | [
"task_categories:table-to-text",
"annotations_creators:expert-created",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:fi",
"license:cc-by-nc-sa-4.0",
"data-to-text",
"region:us"
] | GEM | The Turku Hockey Data2Text corpus was developed as a benchmark for evaluating template-free, machine learning methods on Finnish news generation in the area of ice hockey reporting. This dataset is a collection of 3,454 ice hockey games, each including game statistics and a news article describing the game. Each game i... | @inproceedings{kanerva2019newsgen,
Title = {Template-free Data-to-Text Generation of Finnish Sports News},
Author = {Jenna Kanerva and Samuel R{\"o}nnqvist and Riina Kekki and Tapio Salakoski and Filip Ginter},
booktitle = {Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19)},
y... | 0 | 126 | 2022-03-02T23:29:22 | ---
annotations_creators:
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language_creators:
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language:
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license:
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multilinguality:
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size_categories:
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source_datasets:
- original
task_categories:
- table-to-text
task_ids: []
pretty_name: turku_hockey_data2text
tags:
- data-to-text
---
# Dataset Card f... | 23,163 | [
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Hellisotherpeople/DebateSum | 2022-12-03T04:14:45.000Z | [
"task_categories:question-answering",
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"task_categories:text-retrieval",
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... | Hellisotherpeople | null | null | 8 | 126 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
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- summarization
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task_ids:
- abstractive-qa
- docum... | 4,242 | [
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SocialGrep/one-year-of-r-india | 2022-07-01T18:48:19.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | This corpus contains the complete data for the activity of the subreddit /r/India from Sep 30, 2020 to Sep 30, 2021. | null | 1 | 126 | 2022-03-02T23:29:22 | ---
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... | 3,777 | [
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SocialGrep/ten-million-reddit-answers | 2022-07-01T17:38:25.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | 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. | null | 6 | 126 | 2022-03-02T23:29:22 | ---
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... | 3,965 | [
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diwank/silicone-merged | 2022-03-06T11:30:57.000Z | [
"license:mit",
"region:us"
] | diwank | Merged and simplified dialog act datasets from the silicone collection. | null | 1 | 126 | 2022-03-02T23:29:22 | ---
license: mit
---
# diwank/silicone-merged
> Merged and simplified dialog act datasets from the [silicone collection](https://huggingface.co/datasets/silicone/)
All of the subsets of the original collection have been filtered (for errors and ambiguous classes), merged together and grouped into pairs of di... | 6,324 | [
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codeparrot/xlcost-text-to-code | 2022-10-25T09:30:47.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:cc-by-sa-4.0",
"arxiv:2206.08474",
"region:us"
] | codeparrot | XLCoST is a machine learning benchmark dataset that contains fine-grained parallel data in 7 commonly used programming languages (C++, Java, Python, C#, Javascript, PHP, C), and natural language (English). | @misc{zhu2022xlcost,
title = {XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence},
url = {https://arxiv.org/abs/2206.08474},
author = {Zhu, Ming and Jain, Aneesh and Suresh, Karthik and Ravindran, Roshan and Tipirneni, Sindhu and Reddy, Chandan K.},
year = {2022},
eprint={2206.0847... | 24 | 126 | 2022-07-13T18:13:17 | ---
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
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license:
- cc-by-sa-4.0
multilinguality:
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size_categories:
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source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: xlcost-text-to-code
---
# XLCost for te... | 3,322 | [
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mozilla-foundation/common_voice_10_0 | 2023-07-29T16:00:14.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | mozilla-foundation | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | 17 | 126 | 2022-07-22T15:10:26 | ---
pretty_name: Common Voice Corpus 10.0
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language_bcp47:
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- ar
- as
- ast
- az
- ba
- bas
- be
- bg
- bn
- br
- ca
- ckb
- cnh
- cs
- cv
- cy
- da
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy-NL
- ga-IE
- gl
- gn
- ha
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... | 12,053 | [
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joelniklaus/legal_case_document_summarization | 2023-02-02T23:52:54.000Z | [
"region:us"
] | joelniklaus | null | null | 9 | 126 | 2022-12-30T20:54:10 | # Dataset Card for LegalCaseDocumentSummarization
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structu... | 2,596 | [
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heegyu/news-category-balanced-top10 | 2023-02-13T02:56:31.000Z | [
"license:cc-by-4.0",
"region:us"
] | heegyu | null | null | 1 | 126 | 2023-02-13T02:45:28 | ---
license: cc-by-4.0
---
### Top10 sampled news category dataset
randomly sampled news data
original dataset: https://www.kaggle.com/datasets/rmisra/news-category-dataset
### Value Counts per Category
```
ENTERTAINMENT 10000
POLITICS 10000
WELLNESS 10000
TRAVEL 9900
STYLE & BEAUTY ... | 452 | [
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wangrui6/Zhihu-KOL | 2023-04-23T13:26:03.000Z | [
"task_categories:question-answering",
"language:zh",
"region:us"
] | wangrui6 | null | null | 95 | 126 | 2023-02-25T00:21:29 | ---
dataset_info:
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splits:
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num_bytes: 2295601241
num_examples: 1006218
download_size: 1501204472
dataset_size: 2295601241
task_cat... | 571 | [
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TrainingDataPro/anti-spoofing_replay | 2023-09-14T16:49:15.000Z | [
"task_categories:video-classification",
"language:en",
"license:cc-by-nc-nd-4.0",
"finance",
"legal",
"code",
"region:us"
] | TrainingDataPro | The dataset consists of 40,000 videos and selfies with unique people. 15,000
attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
10,000 attacks with cut-out printouts. | @InProceedings{huggingface:dataset,
title = {anti-spoofing_replay},
author = {TrainingDataPro},
year = {2023}
} | 1 | 126 | 2023-04-28T12:15:43 | ---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- finance
- legal
- code
dataset_info:
features:
- name: live_video_id
dtype: string
- name: phone
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- name: video_file
dtype: string
- name: phone_video_playback
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- name: worke... | 2,114 | [
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talgatzh/xsum-kk3 | 2023-11-02T07:37:59.000Z | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:found",
"language_creators:found",
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"size_categories:100K<n<1M",
"source_datasets:xsum",
"license:unknown",
"arxiv:1808.08745",
"region:us"
] | talgatzh | Extreme Summarization (XSum) Dataset.
There are three features:
- document: Input news article.
- summary: One sentence summary of the article.
- id: BBC ID of the article. | @article{Narayan2018DontGM,
title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
journal={ArXiv},
year={2018},
volume={abs/1808.08745}
} | 0 | 126 | 2023-05-29T04:09:52 | ---
annotations_creators:
- found
language_creators:
- found
license:
- unknown
multilinguality:
- monolingual
pretty_name: Extreme Summarization (XSum)
paperswithcode_id: xsum
size_categories:
- 100K<n<1M
source_datasets:
- xsum
task_categories:
- summarization
task_ids:
- news-articles-summarization
train-eval-index:... | 6,091 | [
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FredZhang7/toxi-text-3M | 2023-07-20T21:33:29.000Z | [
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"language:hu",
"language:lt",
"lan... | FredZhang7 | null | null | 5 | 126 | 2023-06-28T23:28:34 | ---
license: apache-2.0
task_categories:
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size_categories:
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language:
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SaffalPoosh/deepFashion-with-masks | 2023-07-06T12:21:40.000Z | [
"license:apache-2.0",
"code",
"region:us"
] | SaffalPoosh | null | null | 0 | 126 | 2023-07-02T12:20:16 | ---
license: apache-2.0
tags:
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pretty_name: fashion clothes segmentation
dataset_info:
features:
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dtype: image
- name: gender
dtype: string
- name: pose
dtype: string
- name: cloth_type
dtype: string
- name: pid
dtype: string
- name: caption
dtype: string
- na... | 836 | [
[
-0.004428863525390625,
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-0.0129241943359375,
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0.0205230712890625,
0.0751953125,
-0.07122802734375,
-0.01751708984375,
-0.033233642578125,
-0.... |
andersonbcdefg/math | 2023-07-21T01:39:49.000Z | [
"region:us"
] | andersonbcdefg | null | null | 5 | 126 | 2023-07-21T01:39:10 | ---
dataset_info:
features:
- name: role_1
dtype: string
- name: topic;
dtype: string
- name: sub_topic
dtype: string
- name: message_1
dtype: string
- name: message_2
dtype: string
splits:
- name: train
num_bytes: 75291197
num_examples: 50000
download_size: 35174383
data... | 501 | [
[
-0.045135498046875,
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0.0244598388671875,
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... |
alfredplpl/simple-zundamon | 2023-10-21T16:10:17.000Z | [
"language:ja",
"license:other",
"region:us"
] | alfredplpl | null | null | 1 | 126 | 2023-10-21T15:16:58 | ---
license: other
license_name: view-read-more
license_link: https://zunko.jp/guideline.html
language:
- ja
---
# シンプルずんだもんデータセット
## はじめに
ずんだもんの設定が詰まったシンプルなデータセットです。
作者がインターネットで調べたり、運営の人からもらったデータから作成しました。
キャラクターLLMを作るための動作確認にお使いください。
ただし、可能な限り動作確認でもライセンスをよく読んでください。
他の用途はライセンスをよく読んでください。
## 各種フォー... | 451 | [
[
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... |
consumer-finance-complaints | 2023-01-25T14:28:37.000Z | [
"task_categories:text-classification",
"task_ids:topic-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"region:us"
] | null | null | \ | 10 | 125 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- topic-classification
pretty_name: consumer-finance-complaints
dataset_inf... | 16,804 | [
[
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0.052642822265625,
-0.048248291015625,
-0.06298828125,
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0.001... |
few_rel | 2023-06-01T14:59:47.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:mit",
"relation-extraction",... | null | FewRel is a large-scale few-shot relation extraction dataset, which contains more than one hundred relations and tens of thousands of annotated instances cross different domains. | @inproceedings{han-etal-2018-fewrel,
title = "{F}ew{R}el: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation",
author = "Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong",
booktitle = "Proceedings of the 2018... | 2 | 125 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
- n<1K
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: fewrel
pretty_name: Few-Shot Relation Classificat... | 8,484 | [
[
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... |
sofc_materials_articles | 2023-03-09T10:44:46.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:token-classification",
"task_categories:text-classification",
"task_ids:named-entity-recognition",
"task_ids:slot-filling",
"task_ids:topic-classification",
"annotations_creators:expert-generated",
"language_creators:fo... | null | The SOFC-Exp corpus consists of 45 open-access scholarly articles annotated by domain experts.
A corpus and an inter-annotator agreement study demonstrate the complexity of the suggested
named entity recognition and slot filling tasks as well as high annotation quality is presented
in the accompanying paper. | @misc{friedrich2020sofcexp,
title={The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain},
author={Annemarie Friedrich and Heike Adel and Federico Tomazic and Johannes Hingerl and Renou Benteau and Anika Maruscyk and Lukas Lange},
year={2020},
eprint... | 6 | 125 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
- token-classification
- text-classification
task_ids:
- named-entity-recognition
... | 14,815 | [
[
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0.0239410400390625,
0.0160980224609375,
-0.038818359375,
-0.051544189453125,
-0.027938842773437... |
SocialGrep/reddit-crypto-aug-2021 | 2022-07-01T19:08:05.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | This corpus contains the complete data for the activity on seven major cryptocurrency subreddits for the entire month of August 2021. | null | 4 | 125 | 2022-03-02T23:29:22 | ---
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... | 3,946 | [
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0.020736694335... |
SocialGrep/reddit-wallstreetbets-aug-2021 | 2022-07-01T19:15:07.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | This corpus contains the complete data for the activity on /r/WallStreetBets for the entire month of August 2021. | null | 2 | 125 | 2022-03-02T23:29:22 | ---
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... | 3,775 | [
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0.0124... |
biu-nlp/qa_srl2018 | 2022-10-19T06:16:06.000Z | [
"region:us"
] | biu-nlp | The dataset contains question-answer pairs to model verbal predicate-argument structure. The questions start with wh-words (Who, What, Where, What, etc.) and contain a verb predicate in the sentence; the answers are phrases in the sentence.
This dataset, a.k.a "QASRL Bank", "QASRL-v2" or "QASRL-LS" (Large Scale), was c... | @inproceedings{fitzgerald2018large,
title={Large-Scale QA-SRL Parsing},
author={FitzGerald, Nicholas and Michael, Julian and He, Luheng and Zettlemoyer, Luke},
booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={2051--2060},
year=... | 1 | 125 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
eugenesiow/Set14 | 2022-10-21T04:00:31.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"license:other",
"other-image-super-resolution",
"region:us"
] | eugenesiow | Set14 is an evaluation dataset with 14 RGB images for the image super resolution task. | @inproceedings{zeyde2010single,
title={On single image scale-up using sparse-representations},
author={Zeyde, Roman and Elad, Michael and Protter, Matan},
booktitle={International conference on curves and surfaces},
pages={711--730},
year={2010},
organization={Springer}
} | 0 | 125 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Set14
tags:
- other-image-super-resolution
---
# Dataset Card for Set14
## Tab... | 4,934 | [
[
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-0.055267333984375,
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0... |
iohadrubin/smcalflow | 2022-01-01T20:57:52.000Z | [
"region:us"
] | iohadrubin | 2 | 125 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.03793334... | ||
jamescalam/reddit-python | 2022-04-25T12:41:35.000Z | [
"region:us"
] | jamescalam | null | null | 2 | 125 | 2022-04-25T12:29:25 | # Python Subreddit
Dataset containing data scraped from the [Python subreddit](https://www.reddit.com/r/python). | 113 | [
[
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-0.047454833984375,
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0.018096923828125,
-0.06414794921875,
-0.026214599609375,
-0.023895263671875,
... |
BennoKrojer/ImageCoDe | 2022-05-13T21:26:08.000Z | [
"license:afl-3.0",
"arxiv:2203.15867",
"region:us"
] | BennoKrojer | null | null | 1 | 125 | 2022-05-05T21:50:13 | ---
license: afl-3.0
---
# Dataset Card for ImageCoDe
To get started quickly, load descriptions via:
```
from datasets import load_dataset
examples = load_dataset('BennoKrojer/ImageCoDe')
```
And download `image_sets.zip` for all images sets (each directory consisting of 10 images).
## Dataset Description
- **Homep... | 1,931 | [
[
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0.041473388671875,
-0.0283660888671875,
-0.06011962890625,
-0.0430908203125,... |
Francesco/road-traffic | 2023-03-30T09:12:18.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | 1 | 125 | 2023-03-30T09:11:50 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
lengt... | 3,510 | [
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... |
open-llm-leaderboard/details | 2023-08-25T09:32:19.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | 0 | 125 | 2023-06-28T09:31:04 | Entry not found | 15 | [
[
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0.0379... |
emotone_ar | 2023-01-25T14:29:56.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ar",
"license:unknown",
"region:us"
] | null | Dataset of 10065 tweets in Arabic for Emotion detection in Arabic text | @inbook{inbook,
author = {Al-Khatib, Amr and El-Beltagy, Samhaa},
year = {2018},
month = {01},
pages = {105-114},
title = {Emotional Tone Detection in Arabic Tweets: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II},
isbn = {978-3-319-77115-1},
doi = {1... | 5 | 124 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: Emotional Tone in Arabic
dataset_info:
featur... | 5,011 | [
[
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0.0160369873046875,
-0.05780029296875,
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0.01... |
GEM/OrangeSum | 2022-09-03T18:26:49.000Z | [
"task_categories:summarization",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:fr",
"license:other",
"region:us"
] | GEM | The OrangeSum dataset was inspired by the XSum dataset. It was created by scraping the "Orange Actu" website: https://actu.orange.fr/. Orange S.A. is a large French multinational telecommunications corporation, with 266M customers worldwide. Scraped pages cover almost a decade from Feb 2011 to Sep 2020. They belong to ... | @inproceedings{kamal-eddine-etal-2021-barthez,
title = "{BART}hez: a Skilled Pretrained {F}rench Sequence-to-Sequence Model",
author = "Kamal Eddine, Moussa and
Tixier, Antoine and
Vazirgiannis, Michalis",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language... | 0 | 124 | 2022-03-02T23:29:22 | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- fr
license:
- other
multilinguality:
- unknown
pretty_name: OrangeSum
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids:
- unknown
---
# Dataset Card for GEM/OrangeSum
## Dataset Description
- ... | 9,593 | [
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0.0... |
GEM/sportsett_basketball | 2022-10-24T15:30:28.000Z | [
"task_categories:table-to-text",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:mit",
"data-to-text",
"region:us"
] | GEM | SportSett:Basketball dataset for Data-to-Text Generation contains NBA games stats aligned with their human written summaries. | @inproceedings{thomson-etal-2020-sportsett,
title = "{S}port{S}ett:Basketball - A robust and maintainable data-set for Natural Language Generation",
author = "Thomson, Craig and
Reiter, Ehud and
Sripada, Somayajulu",
booktitle = "Proceedings of the Workshop on Intelligent Information Processin... | 6 | 124 | 2022-03-02T23:29:22 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- en
license:
- mit
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- table-to-text
task_ids: []
pretty_name: sportsett_basketball
tags:
- data-to-text
---
# Dataset Card for GEM/sportsett_basketb... | 44,941 | [
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0.0... |
SocialGrep/top-american-universities-on-reddit | 2022-07-25T18:57:00.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | 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. | null | 2 | 124 | 2022-03-02T23:29:22 | ---
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... | 3,937 | [
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classla/FRENK-hate-sl | 2022-10-21T07:46:11.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:sl",
"license:other",
"hate-speech-detection",
"offensive-language",
"arxiv:1906.02045",
"region:us"
] | classla | The FRENK Datasets of Socially Unacceptable Discourse in Slovene. | @misc{ljubešić2019frenk,
title={The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English},
author={Nikola Ljubešić and Darja Fišer and Tomaž Erjavec},
year={2019},
eprint={1906.02045},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/... | 0 | 124 | 2022-03-02T23:29:22 | ---
language:
- sl
license:
- other
size_categories:
- 1K<n<10K
task_categories:
- text-classification
task_ids: []
tags:
- hate-speech-detection
- offensive-language
---
Slovenian subset of the [FRENK dataset](http://hdl.handle.net/11356/1433). Also available on HuggingFace dataset hub: [English subset](https://hugg... | 4,603 | [
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0.0... |
jimregan/clarinpl_sejmsenat | 2023-01-22T13:37:24.000Z | [
"task_categories:other",
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:pl",
"license:other",
"region:us"
] | jimregan | A collection of 97 hours of parliamentary speeches published on the ClarinPL website
Note that in order to limit the required storage for preparing this dataset, the audio
is stored in the .wav format and is not converted to a float32 array. To convert the audio
file to a float32 array, please make use of the `.map()`... | @article{marasek2014system,
title={System for automatic transcription of sessions of the {P}olish {S}enate},
author={Marasek, Krzysztof and Kor{\v{z}}inek, Danijel and Brocki, {\L}ukasz},
journal={Archives of Acoustics},
volume={39},
number={4},
pages={501--509},
year={2014}
} | 1 | 124 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language:
- pl
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
- automatic-speech-recognition
task_ids: []
---
# Dataset Card for ClarinPL Sejm/Senat Speech Corpus
## Table of Contents
- [Data... | 4,101 | [
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bigbio/bionlp_st_2019_bb | 2022-12-22T15:44:04.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | The task focuses on the extraction of the locations and phenotypes of
microorganisms from PubMed abstracts and full-text excerpts, and the
characterization of these entities with respect to reference knowledge
sources (NCBI taxonomy, OntoBiotope ontology). The task is motivated by
the importance of the knowledge on bio... | @inproceedings{bossy-etal-2019-bacteria,
title = "Bacteria Biotope at {B}io{NLP} Open Shared Tasks 2019",
author = "Bossy, Robert and
Del{\'e}ger, Louise and
Chaix, Estelle and
Ba, Mouhamadou and
N{\'e}dellec, Claire",
booktitle = "Proceedings of The 5th Workshop on BioNLP Open S... | 1 | 124 | 2022-11-13T22:07:17 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BioNLP 2019 BB
homepage: https://sites.google.com/view/bb-2019/dataset
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUA... | 2,339 | [
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bigbio/biorelex | 2022-12-22T15:44:10.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | BioRelEx is a biological relation extraction dataset. Version 1.0 contains 2010
annotated sentences that describe binding interactions between various
biological entities (proteins, chemicals, etc.). 1405 sentences are for
training, another 201 sentences are for validation. They are publicly available
at https://github... | @inproceedings{khachatrian2019biorelex,
title = "{B}io{R}el{E}x 1.0: Biological Relation Extraction Benchmark",
author = "Khachatrian, Hrant and
Nersisyan, Lilit and
Hambardzumyan, Karen and
Galstyan, Tigran and
Hakobyan, Anna and
Arakelyan, Arsen and
Rzhetsky, Andrey ... | 2 | 124 | 2022-11-13T22:07:24 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BioRelEx
homepage: https://github.com/YerevaNN/BioRelEx
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
- RELATION... | 2,281 | [
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0.0... |
blastwind/github-code-haskell-function | 2023-05-16T05:05:40.000Z | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"code",
"haskell",
"region:us"
] | blastwind | null | null | 0 | 124 | 2023-05-14T05:17:31 | ---
dataset_info:
features:
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dtype: string
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- name: function_... | 2,193 | [
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brando/debug1_af | 2023-10-20T19:03:38.000Z | [
"license:apache-2.0",
"region:us"
] | brando | null | null | 1 | 124 | 2023-08-09T22:53:07 | ---
license: apache-2.0
---
If you find this please cite it:
```
@software{brando2021ultimateutils,
author={Brando Miranda},
title={Ultimate Utils - the Ultimate Utils library for Machine Learning and Artificial Intelligence},
url={https://github.com/brando90/ultimate-utils},
year={2021}
}
```
it's not... | 511 | [
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metooma | 2023-01-25T14:40:24.000Z | [
"task_categories:text-classification",
"task_categories:text-retrieval",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:origi... | null | The dataset consists of tweets belonging to #MeToo movement on Twitter, labelled into different categories.
Due to Twitter's development policies, we only provide the tweet ID's and corresponding labels,
other data can be fetched via Twitter API.
The data has been labelled by experts, with the majority taken into the a... | @inproceedings{gautam2020metooma,
title={# MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement},
author={Gautam, Akash and Mathur, Puneet and Gosangi, Rakesh and Mahata, Debanjan and Sawhney, Ramit and Shah, Rajiv Ratn},
booktitle={Proceedings of the International AAAI Conference on We... | 0 | 123 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classification
- multi-label-classification
pap... | 13,208 | [
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-0.051483154296875... |
time_dial | 2022-11-03T16:07:53.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"dialog-ac... | null | TimeDial presents a crowdsourced English challenge set, for temporal commonsense reasoning, formulated
as a multiple choice cloze task with around 1.5k carefully curated dialogs. The dataset is derived from
the DailyDialog (Li et al., 2017), which is a multi-turn dialog corpus.
In order to establish strong baselines a... | @inproceedings{qin-etal-2021-timedial,
title = "{TimeDial: Temporal Commonsense Reasoning in Dialog}",
author = "Qin, Lianhui and Gupta, Aditya and Upadhyay, Shyam and He, Luheng and Choi, Yejin and Faruqui, Manaal",
booktitle = "Proc. of ACL",
year = "2021"
} | 4 | 123 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: 'TimeDial: Temporal Commonsense Reasoning in Dialog'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
t... | 9,019 | [
[
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DDSC/lcc | 2023-07-20T19:43:29.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:da",
"license:cc-by-4.0",
"region:us"
] | DDSC | null | null | 3 | 123 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- da
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: TwitterSent
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# Dataset Card for LCC
... | 2,795 | [
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0.013557434082031... |
classla/FRENK-hate-hr | 2022-10-21T07:46:28.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:hr",
"license:other",
"hate-speech-detection",
"offensive-language",
"arxiv:1906.02045",
"region:us"
] | classla | The FRENK Datasets of Socially Unacceptable Discourse in Croatian. | @misc{ljubešić2019frenk,
title={The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English},
author={Nikola Ljubešić and Darja Fišer and Tomaž Erjavec},
year={2019},
eprint={1906.02045},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/... | 0 | 123 | 2022-03-02T23:29:22 | ---
language:
- hr
license:
- other
size_categories:
- 1K<n<10K
task_categories:
- text-classification
task_ids: []
tags:
- hate-speech-detection
- offensive-language
---
# Offensive language dataset of Croatian comments FRENK 1.0
Croatian subset of the [FRENK dataset](http://hdl.handle.net/11356/1433). Also availabl... | 4,407 | [
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... |
flax-community/swahili-safi | 2021-07-18T12:48:55.000Z | [
"region:us"
] | flax-community | Cleaned dataset for Swahili Language Modeling | @InProceedings{huggingface:flax-community,
title = Cleaned dataset for Swahili Language Modeling,
authors={Fitsum, Alok, Patrick},
year={2021},
link = https://huggingface.co/datasets/flax-community/swahili-safi
} | 3 | 123 | 2022-03-02T23:29:22 | # Swahili-Safi Dataset
A relatively clean dataset for Swahili language modeling, built by combining and cleaning several existing datasets.
Sources include:
```
mc4-sw
oscar-sw
swahili_news
IWSLT
XNLI
flores 101
swahili-lm
gamayun-swahili-minikit
broadcastnews-sw
subset of wikipedia-en translated (using m2m100) to sw... | 564 | [
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0.0567626953125,
-0.048126220703125,
-0.009429931640625,
-0.0302886962890625,... |
gsarti/change_it | 2022-10-27T08:37:09.000Z | [
"task_categories:summarization",
"task_categories:text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:it",
"license:cc-by-nc-sa-4.0",
"conditional-text-generation",
"sty... | gsarti | The CHANGE-IT dataset contains approximately 152,000 article-headline pairs, collected from two Italian
newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and
Il Giornale (right), with the two newspapers equally represented. The dataset has been used in the context
of the CHA... | @inproceedings{demattei-etal-2020-changeit,
author = {De Mattei, Lorenzo and Cafagna, Michele and Dell'Orletta, Felice and Nissim, Malvina and Gatt, Albert},
title = {{CHANGE-IT @ EVALITA 2020}: Change Headlines, Adapt News, GEnerate},
booktitle = {Proceedings of Seventh Evaluation Campaign of Natural Langu... | 1 | 123 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- it
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
- text-generation
task_ids: []
pretty_name: change-it
tags:
- conditional-text-generation
... | 9,006 | [
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0.0177307... |
teticio/audio-diffusion-256 | 2022-11-09T10:49:48.000Z | [
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"audio",
"spectrograms",
"region:us"
] | teticio | null | null | 3 | 123 | 2022-08-25T17:32:42 | ---
annotations_creators: []
language: []
language_creators: []
license: []
multilinguality: []
pretty_name: Mel spectrograms of music
size_categories:
- 10K<n<100K
source_datasets: []
tags:
- audio
- spectrograms
task_categories:
- image-to-image
task_ids: []
---
Over 20,000 256x256 mel spectrograms of 5 second sample... | 660 | [
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... |
qanastek/HoC | 2022-11-01T15:03:11.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"region:us"
] | qanastek | The Hallmarks of Cancer Corpus for text classification
The Hallmarks of Cancer (HOC) Corpus consists of 1852 PubMed
publication abstracts manually annotated by experts according
to a taxonomy. The taxonomy consists of 37 classes in a
hierarchy. Zero or more class labels are assigned to each
sentence in the corpus. The... | @article{baker2015automatic,
title={Automatic semantic classification of scientific literature according to the hallmarks of cancer},
author={Baker, Simon and Silins, Ilona and Guo, Yufan and Ali, Imran and H{\"o}gberg, Johan and Stenius, Ulla and Korhonen, Anna},
journal={Bioinformatics},
volume={32},
number... | 1 | 123 | 2022-11-01T10:49:52 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- en
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
pretty_name: HoC
language_bcp47:
- en-US
---
# HoC : Hallmarks of Cancer Corpu... | 9,765 | [
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... |
nbtpj/DUC2004 | 2023-01-09T10:56:59.000Z | [
"region:us"
] | nbtpj | null | null | 0 | 123 | 2023-01-09T10:47:36 | Entry not found | 15 | [
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0.0379... |
alzoubi36/opp_115 | 2023-06-24T07:08:08.000Z | [
"region:us"
] | alzoubi36 | null | null | 0 | 123 | 2023-06-24T06:55:43 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
sequence: int64
splits:
- name: train
num_bytes: 1047118
num_examples: 2185
- name: validation
num_bytes: 270827
num_examples: 550
- name: test
num_bytes: 316635
num_examples: 697
download_size: 811600
... | 451 | [
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euclaise/mqa | 2023-10-20T17:13:22.000Z | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"region:us"
] | euclaise | null | null | 0 | 123 | 2023-08-31T17:15:10 | ---
size_categories:
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pretty_name: MultiQA
dataset_info:
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splits:
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vlsp-2023-vllm/arithmetic_vi | 2023-09-19T03:54:17.000Z | [
"arxiv:2005.14165",
"region:us"
] | vlsp-2023-vllm | null | null | 0 | 123 | 2023-09-10T17:55:16 | ---
dataset_info:
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dataset_size: 1729595
---
# Arithmetic (OpenAI)
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liyucheng/ceval_all | 2023-09-29T10:07:50.000Z | [
"region:us"
] | liyucheng | null | null | 0 | 123 | 2023-09-29T10:04:27 | ---
dataset_info:
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JasiekKaczmarczyk/giant-midi-sustain-masked | 2023-10-02T10:49:22.000Z | [
"region:us"
] | JasiekKaczmarczyk | null | null | 0 | 123 | 2023-10-02T09:46:21 | ---
dataset_info:
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emi429/humansleepproject-rr-small | 2023-10-11T20:00:33.000Z | [
"region:us"
] | emi429 | null | null | 0 | 123 | 2023-10-11T19:09:28 | ---
dataset_info:
features:
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---
# Dataset Card for "humansleepproject-rr-small"
[More Information needed]... | 426 | [
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cryptonite | 2023-06-01T14:59:47.000Z | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-4.0",... | null | Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
Current NLP datasets targeting ambiguity can be solved by a native speaker with relative ease. We present Cryptonite,
a large-scale dataset based on cryptic crosswords, which is both linguistically complex and naturally sourced. Each
example in... | @misc{efrat2021cryptonite,
title={Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language},
author={Avia Efrat and Uri Shaham and Dan Kilman and Omer Levy},
year={2021},
eprint={2103.01242},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | 2 | 122 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
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- expert-generated
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
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size_categories:
- 100K<n<1M
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
paperswithcode_id: null
pretty_nam... | 6,123 | [
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re_dial | 2022-11-18T21:41:23.000Z | [
"task_categories:other",
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
... | null | ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users
recommend movies to each other. The dataset was collected by a team of researchers working at
Polytechnique Montréal, MILA – Quebec AI Institute, Microsoft Research Montréal, HEC Montreal, and Element AI.
The dataset allows research at... | @inproceedings{li2018conversational,
title={Towards Deep Conversational Recommendations},
author={Li, Raymond and Kahou, Samira Ebrahimi and Schulz, Hannes and Michalski, Vincent and Charlin, Laurent and Pal, Chris},
booktitle={Advances in Neural Information Processing Systems 31 (NIPS 2018)},
year={2018}
} | 0 | 122 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: redial
pretty_nam... | 16,905 | [
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turkish_product_reviews | 2023-01-25T14:54:42.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:tr",
"license:unknown",
"region:us"
] | null | Turkish Product Reviews.
This repository contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews. | null | 3 | 122 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- tr
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: Turkish Product Reviews
dataset_info:
features... | 3,747 | [
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uitnlp/vietnamese_students_feedback | 2022-10-13T15:39:37.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:topic-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
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"language:vi",
"license:unknown",
... | uitnlp | Students’ feedback is a vital resource for the interdisciplinary research involving the combining of two different
research fields between sentiment analysis and education.
Vietnamese Students’ Feedback Corpus (UIT-VSFC) is the resource consists of over 16,000 sentences which are
human-annotated with two different tas... | @InProceedings{8573337,
author={Nguyen, Kiet Van and Nguyen, Vu Duc and Nguyen, Phu X. V. and Truong, Tham T. H. and Nguyen, Ngan Luu-Thuy},
booktitle={2018 10th International Conference on Knowledge and Systems Engineering (KSE)},
title={UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis},
y... | 8 | 122 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- vi
license:
- unknown
multilinguality:
- monolingual
pretty_name: "Vietnamese Students\u2019 Feedback Corpus"
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
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ywchoi/pubmed_abstract_4 | 2022-09-13T01:04:18.000Z | [
"region:us"
] | ywchoi | null | null | 0 | 122 | 2022-09-13T01:02:33 | Entry not found | 15 | [
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tarudesu/ViCTSD | 2023-03-12T14:19:06.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:vi",
"arxiv:2103.10069",
"region:us"
] | tarudesu | null | null | 0 | 122 | 2023-03-12T14:16:24 | ---
task_categories:
- text-classification
language:
- vi
size_categories:
- 10K<n<100K
---
# Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
This is the official repository for the UIT-ViCTSD dataset from the paper [Constructive and Toxic Speech Detection for Open-domain So... | 2,339 | [
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bbaaaa/iwslt14-de-en-preprocess | 2023-03-28T16:19:35.000Z | [
"task_categories:translation",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:translation",
"source_datasets:original",
"language:de",
"language:en",
"license:cc-by-nc-nd-4.0",
"region:us"
] | bbaaaa | The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Dutch, Italian and Romanian. As unofficial task, conventional bilingual text translation is offered between English and Arabic, French, Japanese, Chinese... | @inproceedings{cettolo-etal-2017-overview,
title = "Overview of the {IWSLT} 2017 Evaluation Campaign",
author = {Cettolo, Mauro and
Federico, Marcello and
Bentivogli, Luisa and
Niehues, Jan and
St{\\"u}ker, Sebastian and
Sudoh, Katsuhito and
Yoshino, Koichiro and
... | 0 | 122 | 2023-03-27T03:34:37 | ---
annotations_creators:
- crowdsourced
language:
- de
- en
language_creators:
- expert-generated
license:
- cc-by-nc-nd-4.0
multilinguality:
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pretty_name: IWSLT 2014 with fairseq preprocess
source_datasets:
- original
task_categories:
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task_ids: []
paperswithcode_id: iwslt-2014 with fairseq ... | 821 | [
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clarin-knext/arguana-pl | 2023-06-07T08:18:37.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 122 | 2023-06-06T22:10:02 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 201 | [
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d0rj/curation-corpus-ru | 2023-06-13T13:31:27.000Z | [
"task_categories:summarization",
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:d0rj/curation-corpus",
"language:ru",
"license:cc-by-4.0",
"news",
"summarization",
"region:us"
] | d0rj | null | null | 2 | 122 | 2023-06-12T19:49:36 | ---
dataset_info:
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splits:
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num_bytes: 237436901.42479068
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ds4sd/SynthTabNet_OTSL | 2023-08-31T17:14:02.000Z | [
"task_categories:object-detection",
"task_categories:table-to-text",
"size_categories:10K<n<100K",
"license:other",
"table-structure-recognition",
"table-understanding",
"PDF",
"arxiv:2305.03393",
"region:us"
] | ds4sd | null | null | 1 | 122 | 2023-08-31T16:07:02 | ---
license: other
pretty_name: SynthTabNet-OTSL
size_categories:
- 10K<n<100K
tags:
- table-structure-recognition
- table-understanding
- PDF
task_categories:
- object-detection
- table-to-text
---
# Dataset Card for SynthTabNet_OTSL
## Dataset Description
- **Homepage:** https://ds4sd.github.io
- **Paper:** https:/... | 2,943 | [
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jangmin/ecommerce_purchase_history | 2023-10-14T13:35:03.000Z | [
"size_categories:10K<n<100K",
"language:ko",
"region:us"
] | jangmin | null | null | 1 | 122 | 2023-09-21T05:09:07 | ---
language:
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size_categories:
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sehyun66/Finnhub-News | 2023-10-12T11:55:56.000Z | [
"region:us"
] | sehyun66 | null | null | 2 | 122 | 2023-09-28T13:37:56 | ---
configs:
- config_name: clean
data_files:
- split: clean
path: clean/clean-*
- config_name: default
data_files:
- split: finbert
path: data/finbert-*
- split: train
path: data/train-*
dataset_info:
config_name: clean
features:
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owkin/nct-crc-he | 2023-10-26T09:42:47.000Z | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-sa-3.0",
"biology",
"medical",
"cancer",
"colorectal cancer",
"region:us"
] | owkin | null | null | 0 | 122 | 2023-10-13T11:31:07 | ---
dataset_info:
features:
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dtype: image
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'0': ADI
'1': BACK
'2': DEB
'3': LYM
'4': MUC
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Alexandre-Numind/Hallu_IE | 2023-10-25T08:39:57.000Z | [
"region:us"
] | Alexandre-Numind | null | null | 0 | 122 | 2023-10-16T15:33:29 | Entry not found | 15 | [
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
Raspberry-ai/monse-v4 | 2023-10-23T18:16:56.000Z | [
"region:us"
] | Raspberry-ai | null | null | 0 | 122 | 2023-10-23T18:16:54 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 5524086.0
num_examples: 70
download_size: 6518045
dataset_size: 5524086.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset C... | 471 | [
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0.00502777... |
bbaw_egyptian | 2023-04-05T09:36:39.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:extended|wikipedia",
"language:de",
"language:egy",
"language:en",
"license:cc-by-4.0",
"region:us"
] | null | This dataset comprises parallel sentences of hieroglyphic encodings, transcription and translation
as used in the paper Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian
Hieroglyph. The data triples are extracted from the digital corpus of Egyptian texts compiled by
the project "Strukturen und ... | @misc{OPUS4-2919,
title = {Teilauszug der Datenbank des Vorhabens "Strukturen und Transformationen des Wortschatzes der {\"a}gyptischen Sprache" vom Januar 2018},
institution = {Akademienvorhaben Strukturen und Transformationen des Wortschatzes der {\"a}gyptischen Sprache. Text- und Wissenskultur im alten {\"A}gypten}... | 5 | 121 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- de
- egy
- en
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|wikipedia
task_categories:
- translation
task_ids: []
paperswithcode_id: null
pretty_name: BbawEgyptian
dataset_... | 7,902 | [
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0.02731... |
kor_ner | 2023-01-25T14:33:50.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ko",
"license:mit",
"region:us"
] | null | Korean named entity recognition dataset | @InProceedings{Kim:2016,
title = "Korean Named Entity Recognition Dataset",
authors = "Jae-Hoon Kim",
publisher = "GitHub",
year = "2016"
} | 1 | 121 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- ko
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: KorNER
dataset_info:
features:
- name... | 5,227 | [
[
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parsinlu_reading_comprehension | 2023-08-16T17:04:40.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|wikipedia|google",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:20... | null | A Persian reading comprehenion task (generating an answer, given a question and a context paragraph).
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. | @article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian,... | 1 | 121 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- fa
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|wikipedia|google
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: null
pre... | 5,416 | [
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0.0243377685546875,
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-0.04046630859375,
0.032989... |
weibo_ner | 2023-01-25T15:02:04.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:zh",
"license:unknown",
"region:us"
] | null | Tags: PER(人名), LOC(地点名), GPE(行政区名), ORG(机构名)
Label Tag Meaning
PER PER.NAM 名字（张三）
PER.NOM 代称、类别名（穷人）
LOC LOC.NAM 特指名称（紫玉山庄）
LOC.NOM 泛称（大峡谷、宾馆）
GPE GPE.NAM 行政区的名称（北京）
ORG ORG.NAM 特定机构名称（通惠医院）
ORG.NOM 泛指名称、统称（文艺公司） | null | 6 | 121 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- zh
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: weibo-ner
pretty_name: Weibo NE... | 4,082 | [
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0.003... |
SetFit/ethos | 2022-02-03T08:31:19.000Z | [
"region:us"
] | SetFit | ETHOS: onlinE haTe speecH detectiOn dataSet. This repository contains a dataset for hate speech
detection on social media platforms, called Ethos. There are two variations of the dataset:
Ethos_Dataset_Binary: contains 998 comments in the dataset alongside with a label
about hate speech presence or absence. 565 of the... | @misc{mollas2020ethos,
title={ETHOS: an Online Hate Speech Detection Dataset},
author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},
year={2020},
eprint={2006.08328},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | 0 | 121 | 2022-03-02T23:29:22 | # Ethos
This dataset is a clone of the official [`ethos` dataset](https://huggingface.co/datasets/ethos) on the Hub. It contains both `binary` and `multilabel` subsets. | 169 | [
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0.00474929809... |
SetFit/student-question-categories | 2022-01-16T18:32:48.000Z | [
"region:us"
] | SetFit | null | null | 1 | 121 | 2022-03-02T23:29:22 | 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. | 256 | [
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0.02716064453125,
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0.0325... |
eugenesiow/Urban100 | 2022-10-21T03:58:53.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"license:cc-by-4.0",
"other-image-super-resolution",
"region:us"
] | eugenesiow | The Urban100 dataset contains 100 images of urban scenes.
It commonly used as a test set to evaluate the performance of super-resolution models. | @inproceedings{martin2001database,
title={A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics},
author={Martin, David and Fowlkes, Charless and Tal, Doron and Malik, Jitendra},
booktitle={Proceedings Eighth IEEE International C... | 0 | 121 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Urban100
tags:
- other-image-super-resolution
---
# Dataset Card for Urban1... | 5,300 | [
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... |
Aniemore/resd | 2023-06-10T22:15:40.000Z | [
"task_categories:audio-classification",
"task_ids:audio-emotion-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ru",
"lice... | Aniemore | null | null | 3 | 121 | 2022-05-23T22:57:03 | ---
license:
- mit
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- crowdsourced
language:
- ru
multilinguality:
- monolingual
pretty_name: Russian Emotional Speech Dialogs
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-e... | 3,813 | [
[
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0.0267181396484375,
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-0.07122802734375,
-0.0423583984375,
0.0... |
graphs-datasets/AIDS | 2023-02-07T16:38:52.000Z | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | graphs-datasets | null | null | 1 | 121 | 2022-09-02T10:51:25 | ---
licence: unknown
task_categories:
- graph-ml
---
# Dataset Card for AIDS
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [External Use](#... | 4,507 | [
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... |
heegyu/namuwiki-extracted | 2023-01-15T09:46:31.000Z | [
"task_categories:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-sa-2.0",
"region:us"
] | heegyu | null | null | 2 | 121 | 2022-10-01T01:27:07 | ---
license: cc-by-nc-sa-2.0
language:
- ko
language_creators:
- other
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
task_categories:
- other
---
# namu.wiki database dump
##
https://namu.wiki/ database dump 2022/03/01<br/>
- 571308rows
- download size: 2.19GB
## 주의사항
namu-wiki-extractor를 이용하여 전처리, 추가로 아... | 1,081 | [
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0.0... |
pkavumba/balanced-copa | 2022-10-03T00:39:01.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|copa",
"language:en",
"license:cc-by-4.0",
"region:us"
] | pkavumba | null | null | 0 | 121 | 2022-10-03T00:33:09 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: BCOPA
size_categories:
- unknown
source_datasets:
- extended|copa
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
---
... | 7,942 | [
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0.00872802734... |
NeelNanda/c4-code-tokenized-2b | 2022-11-13T21:54:56.000Z | [
"region:us"
] | NeelNanda | null | null | 1 | 121 | 2022-11-13T21:42:47 | ---
dataset_info:
features:
- name: tokens
sequence: int64
splits:
- name: train
num_bytes: 13581607992
num_examples: 1657102
download_size: 2953466988
dataset_size: 13581607992
---
# Dataset Card for "c4-code-tokenized-2b"
[More Information needed](https://github.com/huggingface/datasets/blob/... | 380 | [
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bigbio/progene | 2022-12-22T15:46:19.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | The Protein/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn.
The executing scientist was Dr. Joachim Wermter.
The main annotator was Dr. Rico Pusch who is an expert in biology.
The corpus was developed in the context of the StemNet project (http://www.stemnet.de/). | @inproceedings{faessler-etal-2020-progene,
title = "{P}ro{G}ene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus",
author = "Faessler, Erik and
Modersohn, Luise and
Lohr, Christina and
Hahn, Udo",
booktitle = "Proceedings of the 12th Language Resources and Evaluatio... | 2 | 121 | 2022-11-13T22:11:35 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: ProGene
homepage: https://zenodo.org/record/3698568#.YlVHqdNBxeg
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
---
# Dataset Card for Pr... | 2,753 | [
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Muennighoff/natural-instructions | 2022-12-23T20:08:44.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"language:en",
"region:us"
] | Muennighoff | null | null | 22 | 121 | 2022-12-17T21:45:01 | ---
annotations_creators:
- crowdsourced
- expert-generated
language:
- en
multilinguality:
- monolingual
size_categories:
- 100M<n<1B
task_categories:
- other
---
Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with ... | 39,733 | [
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0.0... |
jxu124/refcocog | 2023-05-20T19:00:12.000Z | [
"region:us"
] | jxu124 | null | null | 0 | 121 | 2023-04-26T12:00:59 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: split
dtype: string
- name: sentences
list:
- name: raw
dtype: string
- name: sent
dtype: string
- name: sent_id
dtype: int64
- name: tokens
sequence: string
- name: file_name
dtype: strin... | 1,207 | [
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... |
JasiekKaczmarczyk/pianofor-ai-sustain-masked | 2023-10-02T11:08:48.000Z | [
"region:us"
] | JasiekKaczmarczyk | null | null | 0 | 121 | 2023-10-02T11:07:50 | ---
dataset_info:
features:
- name: midi_filename
dtype: string
- name: source
dtype: string
- name: pitch
sequence: int16
length: 128
- name: dstart
sequence: float32
length: 128
- name: duration
sequence: float32
length: 128
- name: velocity
sequence: int16
length... | 1,143 | [
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yimingzhang/lichess-2022 | 2023-10-21T22:17:53.000Z | [
"region:us"
] | yimingzhang | null | null | 0 | 121 | 2023-10-04T05:08:38 | Entry not found | 15 | [
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0.052490234375,
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0.01702880859375,
-0.05206298828125,
-0.01497650146484375,
-0.060302734375,
0.03790283203... |
stepkurniawan/qa_sustainability_wiki | 2023-10-05T20:51:30.000Z | [
"license:mit",
"region:us"
] | stepkurniawan | null | null | 0 | 121 | 2023-10-05T19:45:20 | ---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: question
dtype: string
- name: ground_truths
dtype: string
splits:
- name: train
num_bytes: 195625.12855377008
num_exampl... | 1,005 | [
[
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0.054107666015625,
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0.0123672485... |
com_qa | 2023-06-27T07:38:08.000Z | [
"task_categories:question-answering",
"language:en",
"region:us"
] | null | ComQA is a dataset of 11,214 questions, which were collected from WikiAnswers, a community question answering website.
By collecting questions from such a site we ensure that the information needs are ones of interest to actual users.
Moreover, questions posed there are often cannot be answered by commercial search eng... | @inproceedings{abujabal-etal-2019-comqa,
title = "{ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters",
author = {Abujabal, Abdalghani and
Saha Roy, Rishiraj and
Yahya, Mohamed and
Weikum, Gerhard},
booktitle = {Proceedings of the 2019 Con... | 2 | 120 | 2022-03-02T23:29:22 | ---
language:
- en
paperswithcode_id: comqa
pretty_name: ComQA
dataset_info:
features:
- name: cluster_id
dtype: string
- name: questions
sequence: string
- name: answers
sequence: string
splits:
- name: train
num_bytes: 696645
num_examples: 3966
- name: test
num_bytes: 273384
... | 7,603 | [
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hind_encorp | 2022-11-03T16:15:40.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"language:hi",
"license:cc-by-nc-sa-3.0",
"regio... | null | HindEnCorp parallel texts (sentence-aligned) come from the following sources:
Tides, which contains 50K sentence pairs taken mainly from news articles. This dataset was originally col- lected for the DARPA-TIDES surprise-language con- test in 2002, later refined at IIIT Hyderabad and provided for the NLP Tools Contest ... | @InProceedings{hindencorp05:lrec:2014,
author = {Ond{\v{r}}ej Bojar and Vojt{\v{e}}ch Diatka
and Pavel Rychl{\'{y}} and Pavel Stra{\v{n}}{\'{a}}k
and V{\'{}}t Suchomel and Ale{\v{s}} Tamchyna and Daniel Zeman},
title = "{HindEnCorp - Hindi-English and Hindi-only Corpus for Machine
... | 1 | 120 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- machine-generated
language:
- en
- hi
license:
- cc-by-nc-sa-3.0
multilinguality:
- translation
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: hindencorp
pretty_name:... | 8,570 | [
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0.0... |
ohsumed | 2022-11-18T21:34:41.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | null | The OHSUMED test collection is a set of 348,566 references from
MEDLINE, the on-line medical information database, consisting of
titles and/or abstracts from 270 medical journals over a five-year
period (1987-1991). The available fields are title, abstract, MeSH
indexing terms, author, source, and publication type. | @InProceedings{10.1007/978-1-4471-2099-5_20,
author="Hersh, William
and Buckley, Chris
and Leone, T. J.
and Hickam, David",
editor="Croft, Bruce W.
and van Rijsbergen, C. J.",
title="OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research",
booktitle="SIGIR '94",
year="1994",
publisher="... | 1 | 120 | 2022-03-02T23:29:22 | ---
pretty_name: Ohsumed
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-label-classification
paperswithcode_... | 7,951 | [
[
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0.035186767578125,
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-0.036712646484375,
... |
per_sent | 2023-01-25T14:42:26.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other-MPQA-KBP Challenge-MediaRank",
"language:en",
"license:unknown",
"a... | null | Person SenTiment (PerSenT) is a crowd-sourced dataset that captures the sentiment of an author towards the main entity in a news article. This dataset contains annotation for 5.3k documents and 38k paragraphs covering 3.2k unique entities.
The dataset consists of sentiment annotations on news articles about people. Fo... | @inproceedings{bastan2020authors,
title={Author's Sentiment Prediction},
author={Mohaddeseh Bastan and Mahnaz Koupaee and Youngseo Son and Richard Sicoli and Niranjan Balasubramanian},
year={2020},
eprint={2011.06128},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | 0 | 120 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-MPQA-KBP Challenge-MediaRank
task_categories:
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: p... | 13,805 | [
[
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0.0038928985595703... |
NbAiLab/NPSC | 2023-04-25T09:52:08.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:2G<n<1B",
"source_datasets:original",
"language:no",
"language:nb",
"language:nn",
"license:cc0... | NbAiLab | The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models. The corpus is created by Språkbanken at the National Library in Norway.
NPSC is based on sound recording from meeting in the Norwegian Parliament. These talks are orthographically transcribed t... | @inproceedings{johansen2019ner,
title={},
author={},
booktitle={LREC 2022},
year={2022},
url={https://arxiv.org/abs/}
} | 5 | 120 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- 'no'
- nb
- nn
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 2G<n<1B
source_datasets:
- original
task_categories:
- automatic-speech-recognition
- audio-classification
pretty_name: NPSC
tags:
- speech-modeling
---
# ... | 7,647 | [
[
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-0.059295654296875,
-0.038604736328125,
0.0208282470703125... |
SocialGrep/one-million-reddit-jokes | 2022-07-01T18:48:46.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | null | null | 7 | 120 | 2022-03-02T23:29:22 | ---
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... | 3,411 | [
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0.02... |
ai4bharat/IndicSentenceSummarization | 2022-10-13T06:08:31.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:5K<n<112K",
"source_datasets:original for Hindi, and modified [IndicGLUE](https://indicnlp.ai4bharat.org/indic-glue/) for other languages.",
"language:as",
"language:bn",
"language:gu",
... | ai4bharat | This is the sentence summarization dataset released as part of IndicNLG Suite. Each
input sentence is paired with an output summary. We create this dataset in eleven
languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta and te. The total
size of the dataset is 431K. | @inproceedings{Kumar2022IndicNLGSM,
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
year={2022},
u... | 0 | 120 | 2022-03-10T09:59:05 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicSentenceSummarization
size_categories:
- 5K<n<112K
source_datasets:
- original for Hindi, and modified [IndicGLU... | 6,123 | [
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0.03... |
pinecone/core-2020-05-10-deduplication | 2022-10-28T03:01:02.000Z | [
"task_categories:other",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:unknown",
"language:en",
"lic... | pinecone | null | null | 1 | 120 | 2022-06-18T15:43:43 | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- unknown
task_categories:
- other
task_ids:
- natural-language-inference
- semantic-similarity-scoring
- text-scoring
pretty_name: CORE Deduplicati... | 1,602 | [
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0.0... |
bigbio/blurb | 2022-12-22T15:27:48.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The BioCreative II Gene Mention task. The training corpus for the current task consists mainly of the training and testing corpora (text collections) from the BCI task, and the testing corpus for the current task consists of an additional 5,000 sentences that were held 'in reserve' from the previous task. In the curren... | @article{gu2021domain,
title = {
Domain-specific language model pretraining for biomedical natural
language processing
},
author = {
Gu, Yu and Tinn, Robert and Cheng, Hao and Lucas, Michael and
Usuyama, Naoto and Liu, Xiaodong and Naumann, Tristan and Gao,
Jianfeng a... | 1 | 120 | 2022-10-03T06:19:58 | ---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: MIXED
pretty_name: BLURB
homepage: https://microsoft.github.io/BLURB/tasks.html
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
---
# Dataset Card for BLURB
## D... | 3,020 | [
[
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0.0128021... |
MohamedRashad/ChatGPT-prompts | 2023-01-26T22:54:31.000Z | [
"region:us"
] | MohamedRashad | null | null | 30 | 120 | 2023-01-26T22:32:41 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# ChatGPT-Prompts Dataset
## Description
This dataset aims to provide an evaluation data for the Language Models to c... | 404 | [
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-0... |
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