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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e1623289640e76fe2209e753a1b78a2200edc34e |
# Vietnamese Text-To-Speech dataset (VietTTS-v1.1)
🔔🔔🔔 visit https://github.com/NTT123/vietTTS for a vietnamese TTS library (included pretrained models). 🔔🔔🔔
The text is from a collection of novels and short stories from the author "Vu Trong Phung." The text is in public domain.
The audio is generated by Google... | ntt123/viet-tts-dataset | [
"license:cc-by-nc-4.0",
"region:us"
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#license-cc-by-nc-4.0 #region-us
|
# Vietnamese Text-To-Speech dataset (VietTTS-v1.1)
visit URL for a vietnamese TTS library (included pretrained models).
The text is from a collection of novels and short stories from the author "Vu Trong Phung." The text is in public domain.
The audio is generated by Google Text-to-Speech offline engine on Android.... | [
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01eda23ffaa04f414cb6044c014cb4ed317b3e38 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mdroth/github-issues | [
"region:us"
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| # Dataset Card for "github-issues"
More Information needed | [
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91c6572c454088bf71b679ad90aa8dffcd0d5868 |
# Dataset Card for MedMCQA
## 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 Fields](#... | medmcqa | [
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========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Se... | [
"### Dataset Summary\n\n\nMedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.\n\n\nMedMCQA has more than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected ... | [
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67e4d8c2570caef0f90d48fdb756b337875d91db |
# Freesound Dataset 50k (FSD50K)
## Important
**This data set is a copy from the original one located at Zenodo.**
## Dataset Description
- **Homepage:** [FSD50K](https://zenodo.org/record/4060432)
- **Repository:** [GitHub](https://github.com/edufonseca/FSD50K_baseline)
- **Paper:** [FSD50K: An Open Dataset of Hum... | Fhrozen/FSD50k | [
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|
# Freesound Dataset 50k (FSD50K)
## Important
This data set is a copy from the original one located at Zenodo.
## Dataset Description
- Homepage: FSD50K
- Repository: GitHub
- Paper: FSD50K: An Open Dataset of Human-Labeled Sound Events
- Leaderboard: Paperswithcode Leaderboard
If you use the FSD50K dataset, or pa... | [
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a9d58d45d5363ececbe0485f26350fff6835f611 |
# Dataset Card for MNIST
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- ... | filwsyl/video_tags | [
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# Dataset Card for MNIST
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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36d51f10c05d1598552a0374b04d7b8e58efddbc |
# KPTimes Benchmark Dataset for Keyphrase Generation
## About
KPTimes is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 290K news articles in English collected from the [New York Times](https://www.nytimes.com/) and the [Japan
Times](https://www.japantimes.co.jp/).
... | taln-ls2n/kptimes | [
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| KPTimes Benchmark Dataset for Keyphrase Generation
==================================================
About
-----
KPTimes is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 290K news articles in English collected from the New York Times and the Japan
Times.
Keyphras... | [] | [
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da97033c65ab45c0f6735cfa5b9c18ff8e9f1bde | languages:
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task_categories:
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licenses:
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# Dataset Card for [Needs More Information]
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Stru... | swcrazyfan/net-kjv | [
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cfe049cf2184769741166b8b369798bbe3dafb70 | # Aurora SDGs Dataset
This data set contains metdata of 1.4 million research papers. The abstract plus the SDG labels for the Goals and Targets. | MauriceV2021/AuroraSDGsDataset | [
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| # Aurora SDGs Dataset
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9e3261d54d2c334e495dc6cb6fbd8fe99b13c2ac |
# Dataset Card for ASCEND
## 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 Fields](#d... | filwsyl/ascend | [
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# Dataset Card for ASCEND
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e418c1fc928d9f5393af33268472cf20c1891be8 |
# Dataset Card for Aksharantar
## 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 Structure](#dataset-struc... | ai4bharat/Aksharantar | [
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============================
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-----------------
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+ Supported Tasks and Leaderboards
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* Dataset Structure
+ Data Instances
+ Data Fields
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815620f1e0dbeaa8958d7101777047ed24a9cbbd | # Full FLIP stability dataset
The stability dataset from flip, which is based on the meltome atlas, data has those columns:
```
[ 'index', 'seq_id', 'sequence', 'target', 'cluster_center',
'cluster_distance']
```
- **Index** from the original dataset
- **Seq_id** a unique sequence ID string that... | cradle-bio/FLIP_clusters | [
"region:us"
] | 2022-05-06T12:21:38+00:00 | {} | 2022-05-06T12:29:51+00:00 | [] | [] | TAGS
#region-us
| # Full FLIP stability dataset
The stability dataset from flip, which is based on the meltome atlas, data has those columns:
- Index from the original dataset
- Seq_id a unique sequence ID string that is concatenated from several other IDs (also Unirep)
- Sequence The actual protein sequence as a string
- Tar... | [
"# Full FLIP stability dataset\n\nThe stability dataset from flip, which is based on the meltome atlas, data has those columns:\n\n\n \n- Index from the original dataset\n- Seq_id a unique sequence ID string that is concatenated from several other IDs (also Unirep)\n- Sequence The actual protein sequence as a... | [
"TAGS\n#region-us \n",
"# Full FLIP stability dataset\n\nThe stability dataset from flip, which is based on the meltome atlas, data has those columns:\n\n\n \n- Index from the original dataset\n- Seq_id a unique sequence ID string that is concatenated from several other IDs (also Unirep)\n- Sequence The act... | [
6,
150
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"passage: TAGS\n#region-us \n# Full FLIP stability dataset\n\nThe stability dataset from flip, which is based on the meltome atlas, data has those columns:\n\n\n \n- Index from the original dataset\n- Seq_id a unique sequence ID string that is concatenated from several other IDs (also Unirep)\n- Sequence The ... |
6348a19fb3d22aa7fd90b7c12e17969056839c05 |
Use it as usual:
```python
ds = load_dataset("polinaeterna/vox_lingua", "sco")
```
If you want to download all the languages, use `"all"` config:
```python
ds = load_dataset("polinaeterna/vox_lingua", "all")
``` | polinaeterna/vox_lingua | [
"license:cc-by-4.0",
"region:us"
] | 2022-05-06T14:26:59+00:00 | {"license": "cc-by-4.0"} | 2022-12-06T11:09:02+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Use it as usual:
If you want to download all the languages, use '"all"' config:
| [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
e2fd67fea2d92b54b613fa1eb2af9023f172e91a |
# Dataset Card for "twitter-pos"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instanc... | strombergnlp/twitter_pos | [
"task_categories:token-classification",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-05-06T18:09:49+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["part-of-speech"], "paperswithcod... | 2022-10-25T20:43:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us
| Dataset Card for "twitter-pos"
==============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ A... | [
"### Dataset Summary\n\n\nPart-of-speech information is basic NLP task. However, Twitter text\nis difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.\nThis dataset contains two datasets for English PoS tagging for tweets:\n\n\n* Ritter, with train/dev/test\n* Foster, with d... | [
"TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"### Dataset Summary\n\n\nPart-of-speech inf... | [
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"passage: TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n### Dataset Summary\n\n\nPart-of-speech ... |
c66f16a81c93184bdc7f22cfbed284e5b7c12cc7 |
# Dataset Card for [KOR-RE-natures-and-environments]
You can find relation map, guidelines(written in Korean), short technical papers in this [github repo](https://github.com/boostcampaitech3/level2-data-annotation_nlp-level2-nlp-03). This work is done by as part of project for Boostcamp AI Tech supported by Naver Co... | kimcando/KOR-RE-natures-and-environments | [
"license:apache-2.0",
"region:us"
] | 2022-05-06T20:59:28+00:00 | {"license": "apache-2.0"} | 2022-05-06T21:11:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for [KOR-RE-natures-and-environments]
You can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.
### Dataset Description
* Language: Korean
* Task: Relation E... | [
"# Dataset Card for [KOR-RE-natures-and-environments]\n\nYou can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.",
"### Dataset Description\n* Language: Korean\n* Task... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Dataset Card for [KOR-RE-natures-and-environments]\n\nYou can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.",
"### Da... | [
14,
63,
33,
82
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for [KOR-RE-natures-and-environments]\n\nYou can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.### Datas... |
6ed818c8ce6d452e5de3133f822c2b80cf02f8d5 | # README
## Annotated Student Feedback
---
annotations_creators: []
language:
- en
license:
- mit
---
This resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-level opinion polarities, and sentence sep... | NLPC-UOM/Student_feedback_analysis_dataset | [
"region:us"
] | 2022-05-07T02:17:15+00:00 | {} | 2022-10-25T09:13:19+00:00 | [] | [] | TAGS
#region-us
| # README
## Annotated Student Feedback
---
annotations_creators: []
language:
- en
license:
- mit
---
This resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-level opinion polarities, and sentence sep... | [
"# README",
"## Annotated Student Feedback\n---\nannotations_creators: []\nlanguage:\n- en\nlicense:\n- mit\n---\nThis resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-level opinion polarities,... | [
"TAGS\n#region-us \n",
"# README",
"## Annotated Student Feedback\n---\nannotations_creators: []\nlanguage:\n- en\nlicense:\n- mit\n---\nThis resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-... | [
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"passage: TAGS\n#region-us \n# README## Annotated Student Feedback\n---\nannotations_creators: []\nlanguage:\n- en\nlicense:\n- mit\n---\nThis resource contains 3000 student feedback data that have been annotated for aspect terms, opinion terms, polarities of the opinion terms towards targeted aspects, document-lev... |
e96165af1c82b5dd47b286d196f6ad6ab03ed3ff |
# Dataset Card for Bingsu/arcalive_220506
## 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)
- ... | Bingsu/arcalive_220506 | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"langua... | 2022-05-07T02:40:31+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language-modelin... | 2022-07-01T23:09:48+00:00 | [] | [
"ko"
] | TAGS
#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #license-cc0-1.0 #region-... | Dataset Card for Bingsu/arcalive\_220506
========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Description
-------------------
* Homepage: U... | [
"### Dataset Summary\n\n\n아카라이브 베스트 라이브 채널의 2021년 8월 16일부터 2022년 5월 6일까지의 데이터를 수집하여, 댓글만 골라낸 데이터입니다.\n\n\n커뮤니티 특성상, 민감한 데이터들도 많으므로 사용에 주의가 필요합니다.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nko\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\n* Size of downloaded dataset f... | [
"TAGS\n#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #license-cc0-1.0 #r... | [
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60,
10,
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"passage: TAGS\n#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #license-c... |
c31fd74df02439e5a085005238addab9c70dfcf6 | readme! | zhiguoxu/test_data | [
"region:us"
] | 2022-05-07T05:53:04+00:00 | {} | 2022-05-07T05:55:39+00:00 | [] | [] | TAGS
#region-us
| readme! | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
daab7272f119b6d223bb119da987cf10fe210ed7 |
Token classification dataset developed from dataset by Katarina Nimas Kusumawati's undergraduate thesis:
**"Identifikasi Entitas Bernama dalam Domain Medis pada Layanan Konsultasi Kesehatan Berbahasa Menggunkan Alrogritme Bidirectional-LSTM-CRF"**
Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia - 2022
I ... | nadhifikbarw/id_ner_nimas | [
"task_categories:token-classification",
"language:id",
"region:us"
] | 2022-05-07T10:23:27+00:00 | {"language": ["id"], "task_categories": ["token-classification"]} | 2022-10-25T09:13:25+00:00 | [] | [
"id"
] | TAGS
#task_categories-token-classification #language-Indonesian #region-us
|
Token classification dataset developed from dataset by Katarina Nimas Kusumawati's undergraduate thesis:
"Identifikasi Entitas Bernama dalam Domain Medis pada Layanan Konsultasi Kesehatan Berbahasa Menggunkan Alrogritme Bidirectional-LSTM-CRF"
Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia - 2022
I just... | [] | [
"TAGS\n#task_categories-token-classification #language-Indonesian #region-us \n"
] | [
23
] | [
"passage: TAGS\n#task_categories-token-classification #language-Indonesian #region-us \n"
] |
45afd873a3a06ec89473aee2cc4bcd0037474384 | ## fanfiction.net
Cleaning up https://archive.org/download/fanfictiondotnet_repack
Starting with "Z" stories to get the hang of it. | jeremyf/fanfiction_z | [
"language:en",
"fanfiction",
"region:us"
] | 2022-05-07T15:19:15+00:00 | {"language": ["en"], "tags": ["fanfiction"], "datasets": ["fanfiction_z"]} | 2022-05-07T19:53:30+00:00 | [] | [
"en"
] | TAGS
#language-English #fanfiction #region-us
| ## URL
Cleaning up URL
Starting with "Z" stories to get the hang of it. | [
"## URL\n\nCleaning up URL\n\nStarting with \"Z\" stories to get the hang of it."
] | [
"TAGS\n#language-English #fanfiction #region-us \n",
"## URL\n\nCleaning up URL\n\nStarting with \"Z\" stories to get the hang of it."
] | [
14,
20
] | [
"passage: TAGS\n#language-English #fanfiction #region-us \n## URL\n\nCleaning up URL\n\nStarting with \"Z\" stories to get the hang of it."
] |
26b54f488012d7f8fd935a4d5d85c46f05fb665d | Can be used for qualifying data sources | hidude562/textsources | [
"region:us"
] | 2022-05-07T16:10:18+00:00 | {} | 2022-05-07T16:12:39+00:00 | [] | [] | TAGS
#region-us
| Can be used for qualifying data sources | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
9cdb9cd60e61788d28f341c0cd0bd6ffd2eb3eef | This dataset is a copy from a wikipedia dataset on kaggle | hidude562/BadWikipedia | [
"region:us"
] | 2022-05-07T16:47:50+00:00 | {} | 2022-05-07T16:48:25+00:00 | [] | [] | TAGS
#region-us
| This dataset is a copy from a wikipedia dataset on kaggle | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
764d16c169120835d703ec866dc9c41a6c2a7d88 | This is the English part of the ConceptNet and we have removed the useless information. | peandrew/conceptnet_en_nomalized | [
"region:us"
] | 2022-05-08T00:47:33+00:00 | {} | 2022-05-08T02:11:02+00:00 | [] | [] | TAGS
#region-us
| This is the English part of the ConceptNet and we have removed the useless information. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1925dfe6101a528f3dba572ae6aee25f49225c26 | This dataset is the CSV version of the original MCMD (Multi-programming-language Commit Message Dataset) provided by Tao et al. in their paper "On the Evaluation of Commit Message Generation Models: An Experimental Study".
The original version of the dataset can be found in [Zenodo](https://doi.org/10.5281/zenodo.50257... | parvezmrobin/MCMD | [
"region:us"
] | 2022-05-08T02:34:28+00:00 | {} | 2022-05-09T06:25:40+00:00 | [] | [] | TAGS
#region-us
| This dataset is the CSV version of the original MCMD (Multi-programming-language Commit Message Dataset) provided by Tao et al. in their paper "On the Evaluation of Commit Message Generation Models: An Experimental Study".
The original version of the dataset can be found in Zenodo.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6a2a328e05f100eff4a63f6aec652dbb2ccb214d | data I hand picked from https://blcklst.com/lists/ and http://cs.cmu.edu/~ark/personas/ | bananabot/engMollywoodSummaries | [
"license:wtfpl",
"region:us"
] | 2022-05-08T14:43:03+00:00 | {"license": "wtfpl"} | 2022-05-08T14:54:28+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| data I hand picked from URL and URL | [] | [
"TAGS\n#license-wtfpl #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-wtfpl #region-us \n"
] |
212b8789f3958e28a961b7147be3c52b83992918 | # Dataset Card for eoir_privacy
## 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 Field... | pile-of-law/eoir_privacy | [
"task_categories:text-classification",
"language_creators:found",
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2207.00220",
"region:us"
] | 2022-05-08T21:30:20+00:00 | {"language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "source_datasets": [], "task_categories": ["text-classification"], "pretty_name": "eoir_privacy", "viewer": false} | 2022-07-07T07:44:32+00:00 | [
"2207.00220"
] | [
"en"
] | TAGS
#task_categories-text-classification #language_creators-found #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #arxiv-2207.00220 #region-us
| # Dataset Card for eoir_privacy
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Cons... | [
"# Dataset Card for eoir_privacy",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensit... | [
"TAGS\n#task_categories-text-classification #language_creators-found #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #arxiv-2207.00220 #region-us \n",
"# Dataset Card for eoir_privacy",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\... | [
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a2a4aa7bb2f872f0164a04f198b1c875df065a8a |
# Dataset Card for "rustance"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)... | strombergnlp/rustance | [
"task_categories:text-classification",
"task_ids:fact-checking",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:ru",
"license:cc-by-4.0",
"stance... | 2022-05-09T07:53:27+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ru"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["fact-checking", "sentiment-classificati... | 2022-10-25T20:46:32+00:00 | [
"1809.01574"
] | [
"ru"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-cc-by-4.0 #stance-detection #arxiv-1809.01574 #regi... | Dataset Card for "rustance"
===========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotat... | [
"### Dataset Summary\n\n\nThis is a stance prediction dataset in Russian. The dataset contains comments on news articles,\nand rows are a comment, the title of the news article it responds to, and the stance of the comment\ntowards the article.\n\n\nStance detection is a critical component of rumour and fake news i... | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-cc-by-4.0 #stance-detection #arxiv-1809.01574... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-cc-by-4.0 #stance-detection #arxiv-1... |
a2026a5ccc555b7a1658105c515df80b683f26db |
# Dataset Card for audioset2022
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances... | Fhrozen/AudioSet2K22 | [
"task_categories:audio-classification",
"annotations_creators:unknown",
"language_creators:unknown",
"size_categories:100K<n<100M",
"source_datasets:unknown",
"license:cc-by-sa-4.0",
"audio-slot-filling",
"region:us"
] | 2022-05-09T11:42:09+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<100M"], "source_datasets": ["unknown"], "task_categories": ["audio-classification"], "task_ids": [], "tags": ["audio-slot-filling"]} | 2023-05-07T22:50:56+00:00 | [] | [] | TAGS
#task_categories-audio-classification #annotations_creators-unknown #language_creators-unknown #size_categories-100K<n<100M #source_datasets-unknown #license-cc-by-sa-4.0 #audio-slot-filling #region-us
|
# Dataset Card for audioset2022
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive I... | [
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f223cad3fce49e4490733772610a0cbdb7fbcb9d |
# WCEP10 dataset for summarization
Summarization dataset copied from [PRIMERA](https://github.com/allenai/PRIMER)
This dataset is compatible with the [`run_summarization.py`](https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization) script from Transformers if you add this line to the `... | ccdv/WCEP-10 | [
"task_categories:summarization",
"task_categories:text2text-generation",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"conditional-text-generation",
"arxiv:2005.10070",
"arxiv:2110.08499",
"region:us"
] | 2022-05-09T13:13:26+00:00 | {"language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["summarization", "text2text-generation"], "task_ids": [], "tags": ["conditional-text-generation"]} | 2022-10-25T09:55:52+00:00 | [
"2005.10070",
"2110.08499"
] | [
"en"
] | TAGS
#task_categories-summarization #task_categories-text2text-generation #multilinguality-monolingual #size_categories-1K<n<10K #language-English #conditional-text-generation #arxiv-2005.10070 #arxiv-2110.08499 #region-us
| WCEP10 dataset for summarization
================================
Summarization dataset copied from PRIMERA
This dataset is compatible with the 'run\_summarization.py' script from Transformers if you add this line to the 'summarization\_name\_mapping' variable:
Configs
=======
4 possibles configs:
* 'roberta'... | [
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bc70f671fe1762dc8b9822701c05fcca2ac6169d |
This dataset is created by Ilja Samoilov. In dataset is tv show subtitles from ERR and transcriptions of those shows created with TalTech ASR.
```
from datasets import load_dataset, load_metric
dataset = load_dataset('csv', data_files={'train': "train.tsv", \
"validation":"va... | IljaSamoilov/ERR-transcription-to-subtitles | [
"license:afl-3.0",
"region:us"
] | 2022-05-09T14:30:37+00:00 | {"license": "afl-3.0"} | 2022-05-09T17:29:16+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
|
This dataset is created by Ilja Samoilov. In dataset is tv show subtitles from ERR and transcriptions of those shows created with TalTech ASR.
| [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
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feb713097480947041997b09537353df3632e1bd | emotion datset | mmillet/copy | [
"license:other",
"region:us"
] | 2022-05-09T15:55:02+00:00 | {"license": "other"} | 2022-05-10T08:53:27+00:00 | [] | [] | TAGS
#license-other #region-us
| emotion datset | [] | [
"TAGS\n#license-other #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-other #region-us \n"
] |
ebe8f93c58bbd2a506df86b82d5f4375abf28bae |
This Dataset is from Kaggle. It originally comes from the US Consumer Finance Complaints. This is great dataset for NLP multi-class classification.
| milesbutler/consumer_complaints | [
"license:mit",
"region:us"
] | 2022-05-09T20:21:32+00:00 | {"license": "mit"} | 2022-05-09T20:27:44+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This Dataset is from Kaggle. It originally comes from the US Consumer Finance Complaints. This is great dataset for NLP multi-class classification.
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
d38d3f42978e72c8c3ccc5dca0d3a2ac745f1fcf |
# Dataset Card for QA2D
## 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 Fields](#dat... | domenicrosati/QA2D | [
"task_categories:text2text-generation",
"task_ids:text-simplification",
"annotations_creators:machine-generated",
"annotations_creators:crowdsourced",
"annotations_creators:found",
"language_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categorie... | 2022-05-09T22:35:19+00:00 | {"annotations_creators": ["machine-generated", "crowdsourced", "found"], "language_creators": ["machine-generated", "crowdsourced"], "language": [], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original", "extended|squad", "extended|race", "extended|new... | 2022-10-25T09:13:31+00:00 | [
"1809.02922"
] | [] | TAGS
#task_categories-text2text-generation #task_ids-text-simplification #annotations_creators-machine-generated #annotations_creators-crowdsourced #annotations_creators-found #language_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-o... | Dataset Card for QA2D
=====================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Sensitiv... | [
"### Dataset Summary\n\n\nExisting datasets for natural language inference (NLI) have propelled research on language understanding. We propose a new method for automatically deriving NLI datasets from the growing abundance of large-scale question answering datasets. Our approach hinges on learning a sentence transf... | [
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21b1791c498766ed3d204ba380db7f6242fe3aab | annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
languages:
- en-US
- ''
licenses:
- osl-2.0
multilinguality:
- monolingual
pretty_name: github_issues_300
size_categories:
- n<1K
source_datasets: []
task_categories:
- text-classification
task_ids:
- acceptability-classification
- topic-classificat... | mdroth/github_issues_300 | [
"region:us"
] | 2022-05-09T23:17:18+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-07-26T14:36:44+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
languages:
- en-US
- ''
licenses:
- osl-2.0
multilinguality:
- monolingual
pretty_name: github_issues_300
size_categories:
- n<1K
source_datasets: []
task_categories:
- text-classification
task_ids:
- acceptability-classification
- topic-classificat... | [
"# Dataset Card for github_issues_300",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and S... | [
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"# Dataset Card for github_issues_300",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annota... | [
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bb8c37d84ddf2da1e691d226c55fef48fd8149b5 |
# Information Card for Brat
## Table of Contents
- [Description](#description)
- [Summary](#summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Usage](#usage)
- [Additional Information](#additional-information)
- [Licensing Information](#lice... | DFKI-SLT/brat | [
"task_categories:token-classification",
"task_ids:parsing",
"annotations_creators:expert-generated",
"language_creators:found",
"region:us"
] | 2022-05-10T05:13:33+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "license": [], "task_categories": ["token-classification"], "task_ids": ["parsing"]} | 2023-12-11T09:54:08+00:00 | [] | [] | TAGS
#task_categories-token-classification #task_ids-parsing #annotations_creators-expert-generated #language_creators-found #region-us
|
# Information Card for Brat
## Table of Contents
- Description
- Summary
- Dataset Structure
- Data Instances
- Data Fields
- Usage
- Additional Information
- Licensing Information
- Citation Information
## Description
- Homepage: URL
- Paper: URL
- Leaderboard: \\]
- Point of Contact: \\]
### Summary
Brat... | [
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5bb1a071177dc778c2e9818d75a84bc70f4c1338 |
# Dataset Card for [kejian/pile-severetoxic-balanced2]
## Generation Procedures
The dataset was constructed using documents from the Pile scored using Perspective API SEVERE-TOXICITY scores.
The procedure was the following:
- The first half of this dataset is kejian/pile-severetoxic-chunk-0, 100k most toxic docume... | kejian/pile-severetoxic-balanced2 | [
"region:us"
] | 2022-05-10T05:25:33+00:00 | {} | 2022-05-10T13:34:07+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for [kejian/pile-severetoxic-balanced2]
## Generation Procedures
The dataset was constructed using documents from the Pile scored using Perspective API SEVERE-TOXICITY scores.
The procedure was the following:
- The first half of this dataset is kejian/pile-severetoxic-chunk-0, 100k most toxic docume... | [
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"## Generation Procedures \n\nThe dataset was constructed using documents from the Pile scored using Perspective API SEVERE-TOXICITY scores.\n\nThe procedure was the following:\n- The first half of this dataset is kejian/pile-severetoxic-chunk-0, 100k most... | [
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"# Dataset Card for [kejian/pile-severetoxic-balanced2]",
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cd95c2b7bda1e61b32ffde9ed59df0aec56f42d3 | # Golos dataset
Golos is a Russian corpus suitable for speech research. The dataset mainly consists of recorded audio files manually annotated on the crowd-sourcing platform. The total duration of the audio is about 1240 hours.
We have made the corpus freely available for downloading, along with the acoustic model pr... | SberDevices/Golos | [
"arxiv:1910.10261",
"arxiv:2106.10161",
"region:us"
] | 2022-05-10T07:20:45+00:00 | {} | 2022-05-10T07:37:58+00:00 | [
"1910.10261",
"2106.10161"
] | [] | TAGS
#arxiv-1910.10261 #arxiv-2106.10161 #region-us
| Golos dataset
=============
Golos is a Russian corpus suitable for speech research. The dataset mainly consists of recorded audio files manually annotated on the crowd-sourcing platform. The total duration of the audio is about 1240 hours.
We have made the corpus freely available for downloading, along with the acous... | [
"### Audio files in opus format",
"### Audio files in wav format\n\n\nManifest files with all the training transcription texts are in the train\\_crowd9.tar archive listed in the table:\n\n\nArchives: train\\_farfield.tar, Size: 15.4 GB, Links: URL\nArchives: train\\_crowd0.tar, Size: 11 GB, Links: URL\nArchives:... | [
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"### Audio files in opus format",
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ed0114d3241e3a55fdc92902f25b4e4a24ab77eb |
# Polish-Political-Advertising
## Info
Political campaigns are full of political ads posted by candidates on social media. Political advertisement constitute a basic form of campaigning, subjected to various social requirements. We present the first publicly open dataset for detecting specific text chunks and catego... | laugustyniak/political-advertising-pl | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:hired_annotators",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10<n<10K",
"language:pl",
"license:other",
"region:us"
] | 2022-05-10T08:06:08+00:00 | {"annotations_creators": ["hired_annotators"], "language_creators": ["found"], "language": ["pl"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10<n<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition", "part-of-speech"], "pretty_name": "Polish-Po... | 2023-03-29T09:49:42+00:00 | [] | [
"pl"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #task_ids-part-of-speech #annotations_creators-hired_annotators #language_creators-found #multilinguality-monolingual #size_categories-10<n<10K #language-Polish #license-other #region-us
| Polish-Political-Advertising
============================
Info
----
Political campaigns are full of political ads posted by candidates on social media. Political advertisement constitute a basic form of campaigning, subjected to various social requirements. We present the first publicly open dataset for detecting s... | [] | [
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] |
0594adab4ce7680af4dd0f8df7471d4acd6594c6 |
# Dataset Card for "offenseval_2020"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-ins... | strombergnlp/offenseval_2020 | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"arxiv:2006.07235",
"arxiv:2004.02192",
"arxiv:1908.04531",
"arxi... | 2022-05-10T09:22:47+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection", "text-classification-other-hate-speech-detection"], "p... | 2022-05-12T09:04:57+00:00 | [
"2006.07235",
"2004.02192",
"1908.04531",
"2004.14454",
"2003.07459"
] | [] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #arxiv-2006.07235 #arxiv-2004.02192 #arxiv-1908.04531 #arxiv-2004.14454 #arxiv-2003.07459 #region-... | Dataset Card for "offenseval\_2020"
===================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source... | [
"### Dataset Summary\n\n\nOffensEval 2020 features a multilingual dataset with five languages. The languages included in OffensEval 2020 are:\n\n\n* Arabic\n* Danish\n* English\n* Greek\n* Turkish\n\n\nThe annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) an... | [
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e10910c64b77382d127ec3d957b3b1cc2524d04d |
# Dataset Card for HONEST
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Cre... | MilaNLProc/honest | [
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"license:mit",
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] | 2022-05-10T09:49:43+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "paperswithcode_id": "honest-en... | 2022-09-28T14:45:09+00:00 | [] | [] | TAGS
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|
# Dataset Card for HONEST
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Personal and Sensitive Information
- Considerations for Using the Data
- Social I... | [
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719aaef8225945c0d80b277de6c79aa42ab053d5 |
# Dataset Card for Voxpopuli
## 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 Structure](#dataset-structu... | facebook/voxpopuli | [
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"language:ro",
"language:hu",
"language:cs",
"language:nl",
"language:fi",
"language:hr",
"language:sk",
"language:s... | 2022-05-10T13:42:49+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en", "de", "fr", "es", "pl", "it", "ro", "hu", "cs", "nl", "fi", "hr", "sk", "sl", "et", "lt"], "license": ["cc0-1.0", "other"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["automatic-speech-re... | 2022-10-14T12:43:12+00:00 | [
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==========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Sour... | [
"### Dataset Summary\n\n\nVoxPopuli is a large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation.\nThe raw data is collected from 2009-2020 European Parliament event recordings. We acknowledge the European Parliament for creating and sharing these materials.\n... | [
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5223d88b84fbeab9a7004678591ea9d8bb8fdcf4 |
# MuP - Multi Perspective Scientific Document Summarization
Generating summaries of scientific documents is known to be a challenging task. Majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evalu... | allenai/mup | [
"license:odc-by",
"region:us"
] | 2022-05-10T13:53:26+00:00 | {"license": ["odc-by"]} | 2022-10-25T09:16:52+00:00 | [] | [] | TAGS
#license-odc-by #region-us
|
# MuP - Multi Perspective Scientific Document Summarization
Generating summaries of scientific documents is known to be a challenging task. Majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evalu... | [
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9ce73be4a2e2cd37e6f10480d30370b520754023 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
-... | Leyo/TGIF | [
"task_categories:question-answering",
"task_categories:visual-question-answering",
"task_ids:closed-domain-qa",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license... | 2022-05-10T14:00:46+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering", "visual-question-answering"], "task_ids": ["clo... | 2022-10-25T09:24:15+00:00 | [
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===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Personal and Sensitive Information
* Considerations for Using th... | [
"### Dataset Summary\n\n\nThe Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs. The animated GIFs have been collected from Tumblr, from randomly selected posts published between May and June of 2015. We provide the URLs of animated GIFs in this ... | [
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e254179d18ab0165fdb6dbef91178266222bee2a |
# Dataset Card for nordic_langid
## 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... | strombergnlp/nordic_langid | [
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"license:cc-by-sa... | 2022-05-10T16:27:03+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["da", "nn", "nb", "fo", "is", "sv"], "license": ["cc-by-sa-3.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "paperswi... | 2022-10-25T20:42:02+00:00 | [] | [
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# Dataset Card for nordic_langid
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Co... | [
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f17c6abefe91af59763b317b875ee127a725aa40 | # Dataset Card for HowTo100M
## Table of Contents
[Table of Contents](#table-of-contents)
[Dataset Description](#dataset-description)
[Dataset Summary](#dataset-summary)
[Dataset Preprocessing](#dataset-preprocessing)
[Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
[Languages](#languages)... | HuggingFaceM4/howto100m | [
"region:us"
] | 2022-05-10T17:15:06+00:00 | {} | 2022-05-18T22:19:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for HowTo100M
## Table of Contents
Table of Contents
Dataset Description
Dataset Summary
Dataset Preprocessing
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
Data Fields
Data Splits
Dataset Creation
Curation Rationale
Source Data
Annotations
Personal an... | [
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564a409bb4cef7a1d08a3a27982968fa5fc1f4d3 | # AutoTrain Dataset for project: tpsmay22
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project tpsmay22.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | FollishBoi/autotrain-data-tpsmay22 | [
"region:us"
] | 2022-05-10T19:14:30+00:00 | {} | 2022-05-10T19:51:35+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: tpsmay22
=======================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project tpsmay22.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Da... | [
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a9a9e7a8a2dc35bdb905b3df9d7a44cd60dfa2de |
# Dataset Card for Charades
## 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 Structure](#dataset-structur... | HuggingFaceM4/charades | [
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| Dataset Card for Charades
=========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source... | [
"### Dataset Summary\n\n\nCharades is dataset composed of 9848 videos of daily indoors activities collected through Amazon Mechanical Turk. 267 different users were presented with a sentence, that includes objects and actions from a fixed vocabulary, and they recorded a video acting out the sentence (like in a game... | [
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8f40b728cd8f0ab9f8b85674b40f7a252f115497 |
training dataset:
Dataset({
features: ['id', 'audio', 'file', 'text'],
num_rows: 2700
})
{'id': '0',
'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/73016598ed29609d09a2c3c087d4e70e73dc549331efa2117aa6ec012d1ace35/singlish/train/0.wav', 'array': array([-9.1552734e-05, 2.7465820e-04, ... | RuiqianLi/Li_singlish | [
"license:apache-2.0",
"region:us"
] | 2022-05-11T06:21:16+00:00 | {"license": "apache-2.0"} | 2022-05-23T04:34:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
training dataset:
Dataset({
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num_rows: 2700
})
{'id': '0',
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19759411acfa124c36137d182b9f0fac22566eee | # Italian Tweets Test Dataset
This is a test dataset that is available for debugging reasons only. It contains errors. Please do not use.
## How to Use
```python
from datasets import load_dataset
data = load_dataset("pere/italian_tweets_1M")
``` | pere/italian_tweets_500k | [
"region:us"
] | 2022-05-11T07:12:53+00:00 | {} | 2022-05-11T13:32:46+00:00 | [] | [] | TAGS
#region-us
| # Italian Tweets Test Dataset
This is a test dataset that is available for debugging reasons only. It contains errors. Please do not use.
## How to Use
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3bc5cfb4ec514264fe2db5615fac9016f7251552 |
## 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 Fields](#data-instances)
- [Data S... | strombergnlp/bornholmsk_parallel | [
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] | 2022-05-11T07:29:38+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["da", "da-bornholm"], "license": ["cc-by-4.0"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "paperswithcode_id": "born... | 2022-07-01T14:45:35+00:00 | [] | [
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|
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerations for Using the Data
... | [
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for... | [
"TAGS\n#task_categories-translation #annotations_creators-expert-generated #language_creators-found #multilinguality-translation #size_categories-1K<n<10K #source_datasets-original #license-cc-by-4.0 #region-us \n",
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385e3cb46b4cfa89021f56c4380204149d0efe33 |
10 sets with the following stats:
1. 91 labels & 15592 samples
2. 64 labels & 79172 samples
3. 38 labels & 1942 samples
4. 11 labels & 13224 samples
5. 64 labels & 92303 samples
6. 87 labels & 28607 samples
7. 10 labels & 69146 samples
8. 48 labels & 67469 samples
9. 64 labels & 29683 samples
10. 31 labels & 62261 sa... | mteb/reddit-clustering-p2p | [
"language:en",
"region:us"
] | 2022-05-11T07:52:19+00:00 | {"language": ["en"]} | 2022-09-27T18:13:59+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
10 sets with the following stats:
1. 91 labels & 15592 samples
2. 64 labels & 79172 samples
3. 38 labels & 1942 samples
4. 11 labels & 13224 samples
5. 64 labels & 92303 samples
6. 87 labels & 28607 samples
7. 10 labels & 69146 samples
8. 48 labels & 67469 samples
9. 64 labels & 29683 samples
10. 31 labels & 62261 sa... | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
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06434504b5b2fb8327bcac4d4b8d3fbd42d76e0e |
# Dataset Card for "Bajer"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | strombergnlp/bajer_danish_misogyny | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:da",
"license:other",
"not-for-all-audiences",
"region:u... | 2022-05-11T09:06:59+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": "da", "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pretty_name": "... | 2023-05-16T03:08:50+00:00 | [] | [
"da"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Danish #license-other #not-for-all-audiences #region-us
| Dataset Card for "Bajer"
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
... | [
"### Dataset Summary\n\n\nThis is a high-quality dataset of annotated posts sampled from social\nmedia posts and annotated for misogyny. Danish language.\n\n\nOnline misogyny, a category of online abusive language, has serious and\nharmful social consequences. Automatic detection of misogynistic language\nonline, w... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Danish #license-other #not-for-all-audiences #region-us \n",
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c67ed4e6df013281f45c05f7617f7d0b82780bf7 |
# Dataset Card for "Bajer"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | strombergnlp/bajer_danish_misogyny_preview | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:da",
"license:other",
"not-for-all-audiences",
"region:u... | 2022-05-11T10:12:46+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["da"], "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "paperswithcod... | 2023-05-15T21:16:44+00:00 | [] | [
"da"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Danish #license-other #not-for-all-audiences #region-us
| Dataset Card for "Bajer"
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
... | [
"### THIS PUBLIC-FACING DATASET IS A PREVIEW ONLY\n\n\nThis is a working data reader but the data here is just a preview of the full dataset, for safety & legal reasons.\n\n\nTo apply to access the entire dataset, complete this form.\n\n\nWhen you have the full data, amend '\\_URL' in 'URL' to point to the full dat... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Danish #license-other #not-for-all-audiences #region-us \n",
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4cf327a1f4262582f0760bac0786eb32fc4e88cd |
# Dataset Card for "lmqg/qg_subjqa"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahiushi... | lmqg/qg_subjqa | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:subjqa",
"language:en",
"license:cc-by-4.0",
"question-generation",
"arxiv:2210.03992",
"region:us"
] | 2022-05-11T10:16:13+00:00 | {"language": "en", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "10K<n<100K", "source_datasets": "subjqa", "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "SubjQA for question generation", "tags": ["question-generation"]} | 2022-12-02T18:56:32+00:00 | [
"2210.03992"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-subjqa #language-English #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us
| Dataset Card for "lmqg/qg\_subjqa"
==================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is a subset of QG-Bench, a unified question generation benchmark proposed in
"Generative Language Models for Parag... | [
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified question generation benchmark proposed in\n\"Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference\".\nModified version of SubjQA for question generation (QG) task.",
"###... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-subjqa #language-English #license-cc-by-4.0 #question-generation #arxiv-2210.03992 #region-us \n",
"### Dataset Summary\n\n\nThis is a subset of QG-Bench, a unified questio... | [
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f1c298ec28e0ddaca8952ceeaa8d9a26e2896616 | ## Information
This dataset shows 1785 manually annotated tweets from German politicians during the election year 2021 (01.01.2021 - 31.12.2021).
The tweets were annotated by 6 academics which were separated into two different groups. So every group of 3 people annotated the sentiment of ~900 tweets. For every tweet, t... | mox/german_politicians_twitter_sentiment | [
"region:us"
] | 2022-05-11T11:15:47+00:00 | {} | 2022-05-11T11:24:56+00:00 | [] | [] | TAGS
#region-us
| ## Information
This dataset shows 1785 manually annotated tweets from German politicians during the election year 2021 (01.01.2021 - 31.12.2021).
The tweets were annotated by 6 academics which were separated into two different groups. So every group of 3 people annotated the sentiment of ~900 tweets. For every tweet, t... | [
"## Information\nThis dataset shows 1785 manually annotated tweets from German politicians during the election year 2021 (01.01.2021 - 31.12.2021).\nThe tweets were annotated by 6 academics which were separated into two different groups. So every group of 3 people annotated the sentiment of ~900 tweets. For every t... | [
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"## Information\nThis dataset shows 1785 manually annotated tweets from German politicians during the election year 2021 (01.01.2021 - 31.12.2021).\nThe tweets were annotated by 6 academics which were separated into two different groups. So every group of 3 people annotated the sentiment of... | [
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"passage: TAGS\n#region-us \n## Information\nThis dataset shows 1785 manually annotated tweets from German politicians during the election year 2021 (01.01.2021 - 31.12.2021).\nThe tweets were annotated by 6 academics which were separated into two different groups. So every group of 3 people annotated the sentiment... |
53920e52200cd930d7540683f8bee73264b333ce |
# Dataset Card for tedlium
## 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 Fields](#... | LIUM/tedlium | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-05-11T11:47:06+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "TED-LI... | 2022-10-25T16:38:40+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #region-us
| Dataset Card for tedlium
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Se... | [
"### Dataset Summary\n\n\nThe TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. The three releases of the corpus range from 118 to 452 hours of transcribed speech data.",
"### Example",
"### Supported Tasks and Leaderboards\n\n\n* 'automatic-speech-recognition': The dataset c... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #region-us \n",
"### Dataset Summary\n\n\nThe TED-LIUM corpus is English-language TED... | [
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0d61e8e55c55e5397783a26e8ff3b7b4a9360bd6 | # Korpus Malti 🇲🇹
General Corpora for the Maltese Language.
This dataset is composed of texts from various genres/domains written in Maltese.
## Configurations
### Shuffled data
The default configuration (`"shuffled"`) yields the the entire corpus from all genres:
```python
import datasets
dataset = datasets.l... | MLRS/korpus_malti | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:mt"... | 2022-05-11T11:47:44+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["mt"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "... | 2022-08-30T07:59:09+00:00 | [] | [
"mt"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-Maltese #license-cc-by-nc-sa-4.0 #regi... | # Korpus Malti 🇲🇹
General Corpora for the Maltese Language.
This dataset is composed of texts from various genres/domains written in Maltese.
## Configurations
### Shuffled data
The default configuration ('"shuffled"') yields the the entire corpus from all genres:
All sentences are combined together and shuff... | [
"# Korpus Malti 🇲🇹\n\nGeneral Corpora for the Maltese Language.\n\nThis dataset is composed of texts from various genres/domains written in Maltese.",
"## Configurations",
"### Shuffled data\n\nThe default configuration ('\"shuffled\"') yields the the entire corpus from all genres:\n\n\nAll sentences are comb... | [
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91af10276d261f28809abb8ea1b5f2363e66d8fa | # uzbek-sentiment-analysis
Sentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification
Feel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage [here](http://www.grupolys.org/biblioteca/KurMatAloGom2019a.pdf).... | elmurod1202/uzbek-sentiment-analysis | [
"region:us"
] | 2022-05-11T12:22:56+00:00 | {} | 2022-05-11T12:43:59+00:00 | [] | [] | TAGS
#region-us
| # uzbek-sentiment-analysis
Sentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification
Feel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage here.
If you find it useful, please make sure to cite the paper:... | [
"# uzbek-sentiment-analysis\nSentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification\n\nFeel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage here.\n\nIf you find it useful, please make sure to cite ... | [
"TAGS\n#region-us \n",
"# uzbek-sentiment-analysis\nSentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification\n\nFeel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage here.\n\nIf you find it useful, ... | [
6,
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"passage: TAGS\n#region-us \n# uzbek-sentiment-analysis\nSentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification\n\nFeel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage here.\n\nIf you find it usefu... |
70bc074d61b6fd3d933b0c94b4983f01e226b820 | ### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub ... | selfishark/hf-issues-dataset-with-comments | [
"region:us"
] | 2022-05-11T13:32:55+00:00 | {} | 2022-05-11T14:18:40+00:00 | [] | [] | TAGS
#region-us
| ### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the domain o... | [
"### Dataset Summary\n\nGitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the d... | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n### Dataset Summary\n\nGitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are ... |
a17263cdc77c46cecb979e5b997bc23853065c29 |
# Dataset Card for Team-PIXEL/rendered-bookcorpus
## Dataset Description
- **Homepage:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
- **Repository:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
- **Papers:** [Aligning Books and Movies: Towards Story-like Visual Explanations... | Team-PIXEL/rendered-bookcorpus | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
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"language:en",
"license:unknown",
"arxiv:1506.06724",
"arxiv:2207.06991",
"arxiv:2105.05241",
"region:us"
] | 2022-05-11T13:41:02+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["rendered|BookCorpusOpen"], "task_categories": ["masked-auto-encoding", "rendered-language-modelling"], "task_i... | 2022-08-03T11:03:32+00:00 | [
"1506.06724",
"2207.06991",
"2105.05241"
] | [
"en"
] | TAGS
#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-rendered|BookCorpusOpen #language-English #license-unknown #arxiv-1506.06724 #arxiv-2207.06991 #arxiv-2105.05241 #region-us
| Dataset Card for Team-PIXEL/rendered-bookcorpus
===============================================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Papers: Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
, Language Modelling with Pixels
... | [
"### Dataset Summary\n\n\nThis dataset is a version of the BookCorpus available at URL with examples rendered as images with resolution 16x8464 pixels.\n\n\nThe original BookCorpus was introduced by Zhu et al. (2015) in Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-rendered|BookCorpusOpen #language-English #license-unknown #arxiv-1506.06724 #arxiv-2207.06991 #arxiv-2105.05241 #region-us \n",
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"passage: TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-rendered|BookCorpusOpen #language-English #license-unknown #arxiv-1506.06724 #arxiv-2207.06991 #arxiv-2105.05241 #region-us \n"
] |
504638a427b89c21bd99c1d1307e726f746e8231 |
# Dataset Card for Team-PIXEL/rendered-wikipedia-english
## Dataset Description
- **Homepage:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
- **Repository:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
- **Paper:** [Language Modelling with Pixels](https://arxiv.org/abs/2207... | Team-PIXEL/rendered-wikipedia-english | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"license:gfdl",
"arxiv:2207.06991",
"region:us"
] | 2022-05-11T13:52:06+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gfdl"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["masked-auto-encoding", "rendered-language-modelling"], ... | 2022-08-02T13:01:21+00:00 | [
"2207.06991"
] | [
"en"
] | TAGS
#annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-sa-3.0 #license-gfdl #arxiv-2207.06991 #region-us
| Dataset Card for Team-PIXEL/rendered-wikipedia-english
======================================================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: Language Modelling with Pixels
* Point of Contact: Phillip Rust
* Size of downloaded dataset files: 125.66 GB
* Size of the... | [
"### Dataset Summary\n\n\nThis dataset contains the full English Wikipedia from February 1, 2018, rendered into images of 16x8464 resolution.\n\n\nThe original text dataset was built from a Wikipedia dump. Each example in the original *text* dataset contained the content of one full Wikipedia article with cleaning ... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-sa-3.0 #license-gfdl #arxiv-2207.06991 #region-us \n",
"### Dataset Summary\n\n\nThis dataset contains the full English Wik... | [
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] |
524f2a4c3f16309bbb070c29823c2e52599247a9 |
# Dataset Card for named_timexes
## 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... | strombergnlp/named_timexes | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-05-11T16:10:51+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": [], "pretty_name": "Named Temporal ... | 2022-07-01T14:44:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
| Dataset Card for named\_timexes
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ P... | [
"### Dataset Summary\n\n\nThis is a dataset annotated for *named temporal expression* chunks.\n\n\nThe\ncommonest temporal expressions typically\ncontain date and time words, like April or\nhours. Research into recognising and interpreting these typical expressions is mature in many languages. However, there is\na ... | [
"TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"### Dataset Summary\n\n\nThis is a dataset annotated for *named tempo... | [
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b656a4039a247e7c063c53c9b7bf354807944c5b |
## 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 Fields](#data-instances)
- [Data S... | strombergnlp/itu_faroese_danish | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
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"language:da",
"language:fo",
"license:cc-by-4.0",
"arxiv:2206.08727",
"doi:10.57967/hf/0515",
"region:us"
... | 2022-05-11T16:11:24+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["da", "fo"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "ITU Faroese Danish... | 2022-07-01T14:43:48+00:00 | [
"2206.08727"
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"da",
"fo"
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#task_categories-translation #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #language-Faroese #license-cc-by-4.0 #arxiv-2206.08727 #doi-10.57967/hf/0515 #region-us
|
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerations for Using the Data
... | [
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for... | [
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a78a6d10920ec12d9ec69564eb3b6ce0753b5977 |
# Flickr8k Image Features
Flickr8k image features are extracted using the ResNeXt-152 C4 architecture ([found here](https://github.com/microsoft/scene_graph_benchmark)) and can be used as input for the [OSCAR](https://github.com/microsoft/Oscar) learning method. Arabic captions and splits are provided by [ElJundi et ... | jontooy/Flickr8k-Image-Features | [
"language:ar",
"region:us"
] | 2022-05-11T17:26:26+00:00 | {"language": "ar", "datasets": "flickr8k"} | 2022-06-06T17:25:44+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #region-us
|
# Flickr8k Image Features
Flickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.
## Dev-split
+ URL Yaml configure file with Arabic object tags
+ URL Extracted image fea... | [
"# Flickr8k Image Features\n\nFlickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.",
"## Dev-split\n+ URL Yaml configure file with Arabic object tags\n+ URL Extract... | [
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"# Flickr8k Image Features\n\nFlickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.",
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"passage: TAGS\n#language-Arabic #region-us \n# Flickr8k Image Features\n\nFlickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.## Dev-split\n+ URL Yaml configure file... |
6a037f8d9403bbf12fb4cf6d0e91956df6a64e50 |
# Dataset Card for TruthfulQA
## 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 Structure](#dataset-struct... | domenicrosati/TruthfulQA | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"task_ids:closed-domain-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
... | 2022-05-11T23:38:33+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "open-domain... | 2022-07-01T14:41:54+00:00 | [
"2109.07958"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #task_ids-closed-domain-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-apache-2.0 #arxiv-2109.0... |
# Dataset Card for TruthfulQA
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Contributions
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper... | [
"# Dataset Card for TruthfulQA",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n - Contributions",
"## Dataset Description\n\n- Homepage: URL\n... | [
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c2745ea380ea553b9d0d146d1e0869d29da6a73a | ## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)... | ncats/EpiSet4NER-v2 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_dataset... | 2022-05-12T07:47:04+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found", "expert-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids"... | 2022-09-20T14:25:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #l... | Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Sensitive Information
* Consideration... | [
"### Dataset Summary\n\n\nEpiSet4NER-v2 is a gold-standard dataset for epidemiological entity recognition of location, epidemiologic types (e.g. \"prevalence\", \"annual incidence\", \"estimated occurrence\"), and epidemiological rates (e.g. \"1.7 per 1,000,000 live births\", \"2.1:1.000.000\", \"one in five millio... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Engl... | [
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c9c0c7279d591d2fa4d692501d85f4e46d4b0572 |
# Dataset Card for "rumoureval_2019"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-i... | strombergnlp/rumoureval_2019 | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"stance-detection",
"arxiv:1809.06683",
"region:us"
] | 2022-05-12T08:54:08+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["fact-checking"], "pretty_name": "RumourEval 201... | 2022-10-25T20:43:58+00:00 | [
"1809.06683"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #stance-detection #arxiv-1809.06683 #region-us
| Dataset Card for "rumoureval\_2019"
===================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source... | [
"### Dataset Summary\n\n\nStance prediction task in English. The goal is to predict whether a given reply to a claim either supports, denies, questions, or simply comments on the claim. Ran as a SemEval task in 2019.",
"### Supported Tasks and Leaderboards\n\n\n* SemEval 2019 task 1",
"### Languages\n\n\nEnglis... | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #stance-detection #arxiv-1809.06683 #region-us \n",
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49f71f31afcb99f777973bb5916cde35ad6aaba1 | <h1>Dutch SQuAD v2.0</h1>
Machine translated version of the SQuAD v2.0 dataset in Dutch.
<em>Note:</em> This dataset is machine translated. | beery/Dutch-SQuAD | [
"region:us"
] | 2022-05-12T11:40:56+00:00 | {} | 2022-05-12T11:47:21+00:00 | [] | [] | TAGS
#region-us
| <h1>Dutch SQuAD v2.0</h1>
Machine translated version of the SQuAD v2.0 dataset in Dutch.
<em>Note:</em> This dataset is machine translated. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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51d27a0e72ae358f715ef7d61836ee22fd389f6b | # Context
This dataset contains all the stats of **all club goals** of **Cristiano Ronaldo dos Santos Aveiro**.
# About Cristiano Ronaldo
**Cristiano Ronaldo dos Santos Aveiro** is a Portuguese professional footballer who plays as a forward for Premier League club Manchester United and captains the Portugal national t... | azminetoushikwasi/cristiano-ronaldo-all-club-goals-stats | [
"license:ecl-2.0",
"region:us"
] | 2022-05-12T13:35:51+00:00 | {"license": "ecl-2.0"} | 2022-05-12T13:37:15+00:00 | [] | [] | TAGS
#license-ecl-2.0 #region-us
| # Context
This dataset contains all the stats of all club goals of Cristiano Ronaldo dos Santos Aveiro.
# About Cristiano Ronaldo
Cristiano Ronaldo dos Santos Aveiro is a Portuguese professional footballer who plays as a forward for Premier League club Manchester United and captains the Portugal national team.
- Cur... | [
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f0f195f86e8caddeec352dc945e2e6f01dd9e00a | This is the zipped datasets for training StyleNeRF models on AFHQ, MetFaces and Compcars | thomagram/StyleNeRF_Datasets | [
"license:cc-by-4.0",
"region:us"
] | 2022-05-12T17:19:00+00:00 | {"license": "cc-by-4.0"} | 2022-05-13T16:57:32+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| This is the zipped datasets for training StyleNeRF models on AFHQ, MetFaces and Compcars | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
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130db220f301e31219875231983a9827c8370aa1 |
# Dataset Card for Something Something v2
## 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 Structure](#da... | HuggingFaceM4/something_something_v2 | [
"task_categories:other",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:other",
"arxiv:1706.04261",
"region:us"
] | 2022-05-12T20:27:54+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": [], "paperswithcode_id": "something-something", "pr... | 2022-10-20T20:35:22+00:00 | [
"1706.04261"
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"en"
] | TAGS
#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-other #arxiv-1706.04261 #region-us
| Dataset Card for Something Something v2
=======================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ ... | [
"### Dataset Summary\n\n\nThe Something-Something dataset (version 2) is a collection of 220,847 labeled video clips of humans performing pre-defined, basic actions with everyday objects. It is designed to train machine learning models in fine-grained understanding of human hand gestures like putting something into... | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-other #arxiv-1706.04261 #region-us \n",
"### Dataset Summary\n\n\nThe Something-Something dataset (version 2... | [
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ef2009a5444b8a278c4d0782bcc549a01fd0163d | # 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.
This datase... | SetFit/toxic_conversations_50k | [
"region:us"
] | 2022-05-13T06:56:24+00:00 | {} | 2022-05-13T06:56:41+00:00 | [] | [] | TAGS
#region-us
| # Toxic Conversation
This is a version of the Jigsaw Unintended Bias in Toxicity Classification dataset. It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.
This dataset just contains the first 50k training examples.
10 annotators annotated each exampl... | [
"# Toxic Conversation\r\nThis is a version of the Jigsaw Unintended Bias in Toxicity Classification dataset. It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.\r\n\r\nThis dataset just contains the first 50k training examples.\r\n\r\n10 annotators annota... | [
"TAGS\n#region-us \n",
"# Toxic Conversation\r\nThis is a version of the Jigsaw Unintended Bias in Toxicity Classification dataset. It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.\r\n\r\nThis dataset just contains the first 50k training examples.\r\... | [
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"passage: TAGS\n#region-us \n# Toxic Conversation\r\nThis is a version of the Jigsaw Unintended Bias in Toxicity Classification dataset. It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.\r\n\r\nThis dataset just contains the first 50k training examples.... |
a317f23efaef8b12a6744c0cf6634bc6093aabad |
# Dataset Card for "20-Newsgroups" | pensieves/newsgroups | [
"license:mit",
"region:us"
] | 2022-05-13T07:01:53+00:00 | {"license": "mit", "pretty_name": "20-Newsgroups"} | 2022-05-13T14:08:13+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Card for "20-Newsgroups" | [
"# Dataset Card for \"20-Newsgroups\""
] | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Card for \"20-Newsgroups\""
] | [
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780b46b0862f109dbaf63bc9d3779a9ca711506c |
# Dataset Card for ActivityNet Captions
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-spl... | Leyo/ActivityNet_Captions | [
"task_ids:closed-domain-qa",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
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"size_categories:10k<n<100K",
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"language:en",
"license:other",
"arxiv:1705.00754",
"region:us"
] | 2022-05-13T08:05:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10k<n<100K"], "source_datasets": ["original"], "task_categories": ["video-captionning"], "task_ids": ["closed-domain-qa"], "pretty_name... | 2022-07-01T14:57:56+00:00 | [
"1705.00754"
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| Dataset Card for ActivityNet Captions
=====================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Personal and Sensitive Information
* Considerations ... | [
"### Dataset Summary\n\n\nThe ActivityNet Captions dataset connects videos to a series of temporally annotated sentence descriptions. Each sentence covers an unique segment of the video, describing multiple events that occur. These events may occur over very long or short periods of time and are not limited in any ... | [
"TAGS\n#task_ids-closed-domain-qa #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10k<n<100K #source_datasets-original #language-English #license-other #arxiv-1705.00754 #region-us \n",
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cc9cf630ade5331cbf5de98414a71b3b85a905dd | annotations_creators:
- other
language_creators:
- other
languages:
- "Espa\xF1ol"
licenses: []
multilinguality:
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pretty_name: 'BecasIncentivosUNL
'
size_categories:
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source_datasets:
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task_categories:
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task_ids:
- extractive-qa | Evelyn18/becas | [
"region:us"
] | 2022-05-13T16:42:47+00:00 | {} | 2022-05-26T22:41:42+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
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language_creators:
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languages:
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licenses: []
multilinguality:
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pretty_name: 'BecasIncentivosUNL
'
size_categories:
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source_datasets:
- original
task_categories:
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task_ids:
- extractive-qa | [] | [
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29b3c541ba1e96bbaf2a38f0cec26b921f2d711d | # AutoTrain Dataset for project: code_summarization
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project code_summarization.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows... | hxue3/autotrain-data-code_summarization | [
"language:en",
"region:us"
] | 2022-05-13T19:34:17+00:00 | {"language": ["en"], "task_categories": ["conditional-text-generation"]} | 2022-10-23T04:49:19+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: code\_summarization
==================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project code\_summarization.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Stru... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"featur... | [
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"passage: TAGS\n#language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):###... |
a56814dfb4a247a505eb407109952cc5cb3cda33 |
do your worst | itsroadtrip/test-dataset | [
"license:zlib",
"region:us"
] | 2022-05-13T22:51:17+00:00 | {"license": "zlib"} | 2022-05-13T22:51:42+00:00 | [] | [] | TAGS
#license-zlib #region-us
|
do your worst | [] | [
"TAGS\n#license-zlib #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-zlib #region-us \n"
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4ff105b77a536e4b04cab18edd1d20aa7270460c |
# Dataset Card for CogText PubMed Abstracts
## 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)
... | morteza/cogtext | [
"task_categories:text-classification",
"task_ids:topic-classification",
"task_ids:semantic-similarity-classification",
"language_creators:found",
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"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc... | 2022-05-14T05:38:55+00:00 | {"language_creators": ["found", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification", "semantic-similarity-classification"]... | 2023-11-25T10:48:10+00:00 | [
"2203.11016"
] | [
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=========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data... | [
"### Dataset Summary\n\n\nThe 2021 dataset, collected in December 2021, contains 385,705 distinct scientific articles, featuring their title, abstract, relevant metadata, and embeddings.\nThe articles were specifically selected for their relevance to cognitive control constructs and associated tasks.",
"### Suppo... | [
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5c427d91b3d6a7624941149ece874850b222c838 | This dataset has been scraped from https://freesound.org
Containing 554849 audio clips.
License: cc-by-sa-3.0, https://creativecommons.org/licenses/by-sa/3.0/ | Chr0my/freesound.org | [
"size_categories:100K<n<1M",
"language:en",
"music",
"region:us"
] | 2022-05-15T16:31:35+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "tags": ["music"]} | 2023-04-09T13:31:11+00:00 | [] | [
"en"
] | TAGS
#size_categories-100K<n<1M #language-English #music #region-us
| This dataset has been scraped from URL
Containing 554849 audio clips.
License: cc-by-sa-3.0, URL | [] | [
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15a498e7de5206bda47afd5da44f3a8de6122878 | test | nouamanetazi/test111 | [
"region:us"
] | 2022-05-15T17:50:55+00:00 | {} | 2022-05-15T18:28:57+00:00 | [] | [] | TAGS
#region-us
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83f042f5e142c32f1cb0ff8dd71b7e8546a8c9e8 |
# Dataset Card for id_recipe
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | Sultannn/id_recipe | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"task_ids:language-modeling",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"license:mit",
"region... | 2022-05-16T07:45:23+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "text-generation"], "task_ids": ["language-modeling"], "... | 2022-09-18T08:24:13+00:00 | [] | [
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] | TAGS
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| Dataset Card for id\_recipe
===========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotat... | [
"### Dataset Summary\n\n\nIndonesian foods are well-known for their rich taste. There are many spices used even for daily foods. This dataset may give insight on how to prepare Indonesian food.\n\n\nid\\_recipe is an Indonesian Food Recipe dataset. The dataset contains >10000 Indonesian Recipe.",
"### Supported T... | [
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13594107c7afa216cb0c126f38b8ff6548112dcf |
# Dataset Card for Slither Audited Smart Contracts
## 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-instan... | mwritescode/slither-audited-smart-contracts | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_ids:multi-label-classification",
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"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1... | 2022-05-16T11:03:38+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification", "text-generation"], "task_ids": ["multi-label-classification", "mu... | 2022-07-14T13:12:44+00:00 | [] | [
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# Dataset Card for Slither Audited Smart Contracts
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Additional Information
- Dataset Cura... | [
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bee4f71ca1bcfc51eb8fc41d65720fb6f487df9d |
# Dataset Card for [products-2017]
## 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 Structure](#dataset-s... | wdc/products-2017 | [
"task_categories:text-classification",
"annotations_creators:weak supervision",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
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"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-05-16T12:23:21+00:00 | {"annotations_creators": ["weak supervision", "expert-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "data-integration"], "task_ids": ["entity-matching... | 2022-10-23T04:50:24+00:00 | [] | [
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|
# Dataset Card for [products-2017]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Annotations
- Additional Information
- Citation Infor... | [
"# Dataset Card for [products-2017]",
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2d8325c6e3a9cdf433bb87c5050f00c7fdc2e14b | Arabic dialects, multi-class-Classification, Tweets.
# Dataset Card for Arabic_Dialect_Identification
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#d... | Abdelrahman-Rezk/Arabic_Dialect_Identification | [
"arxiv:2005.06557",
"region:us"
] | 2022-05-16T15:07:50+00:00 | {} | 2022-05-17T11:02:29+00:00 | [
"2005.06557"
] | [] | TAGS
#arxiv-2005.06557 #region-us
| Arabic dialects, multi-class-Classification, Tweets.
Dataset Card for Arabic\_Dialect\_Identification
================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
... | [
"### Dataset Summary\n\n\nWe present QADI, an automatically collected dataset of tweets belonging to a wide range of\ncountry-level Arabic dialects \u0014covering 18 different countries in the Middle East and North\nAfrica region. Our method for building this dataset relies on applying multiple filters to identify\... | [
"TAGS\n#arxiv-2005.06557 #region-us \n",
"### Dataset Summary\n\n\nWe present QADI, an automatically collected dataset of tweets belonging to a wide range of\ncountry-level Arabic dialects \u0014covering 18 different countries in the Middle East and North\nAfrica region. Our method for building this dataset relie... | [
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38ba6af1957f08318aeb725b7f428fab603f0cda | # Dataset Card for "transformers_issues_labels"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mdroth/transformers_issues_labels | [
"region:us"
] | 2022-05-16T23:30:58+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "num_labels", "sequence": "int64"}, {"name": "arr_labels", "sequence": "int64"}, {"name": "labels", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 326243.372, "num_examples": 122}, {"name"... | 2023-07-26T14:38:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "transformers_issues_labels"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"transformers_issues_labels\"\n\nMore Information needed"
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89ca92ddc949368b54d469103fd7fe8fc216f646 | # CLEAR2 dataset
This dataset was presented in the article "NAAQA: A Neural Architecture for Acoustic Question answering" submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence in 2021.
https://arxiv.org/abs/2106.06147
The code to generate this dataset is available at : https://github.com/J3rome/... | J3romee/CLEAR | [
"arxiv:2106.06147",
"region:us"
] | 2022-05-17T00:41:58+00:00 | {} | 2022-05-17T13:17:33+00:00 | [
"2106.06147"
] | [] | TAGS
#arxiv-2106.06147 #region-us
| # CLEAR2 dataset
This dataset was presented in the article "NAAQA: A Neural Architecture for Acoustic Question answering" submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence in 2021.
URL
The code to generate this dataset is available at : URL
## Structure
- scenes/ : 1 json file per set (Trai... | [
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8a04a9b99a4d0fd4e932a728421f4712f68f2091 | # Dataset Card for allenai/wmt22_african
## 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)
- [D... | allenai/wmt22_african | [
"region:us"
] | 2022-05-17T03:12:30+00:00 | {} | 2022-08-15T20:52:43+00:00 | [] | [] | TAGS
#region-us
| Dataset Card for allenai/wmt22\_african
=======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ ... | [
"### Dataset Summary\n\n\nThis dataset was created based on metadata for mined bitext released by Meta AI. It contains bitext for 248 pairs for the African languages that are part of the 2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages.",
"#### How to use the data\n\n\nTher... | [
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"### Dataset Summary\n\n\nThis dataset was created based on metadata for mined bitext released by Meta AI. It contains bitext for 248 pairs for the African languages that are part of the 2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages.",
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5acf467539fcfa80b4c7d24ddebd41151a69fc3d |
# Dataset Card for ActivityNet Captions
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-spl... | HuggingFaceM4/ActivitiyNet_Captions | [
"task_ids:closed-domain-qa",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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"source_datasets:original",
"language:en",
"license:other",
"arxiv:1705.00754",
"region:us"
] | 2022-05-17T10:26:07+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10k<n<100K"], "source_datasets": ["original"], "task_categories": ["video-captionning"], "task_ids": ["closed-domain-qa"], "pretty_name... | 2022-10-23T04:50:46+00:00 | [
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| Dataset Card for ActivityNet Captions
=====================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Personal and Sensitive Information
* Considerations ... | [
"### Dataset Summary\n\n\nThe ActivityNet Captions dataset connects videos to a series of temporally annotated sentence descriptions. Each sentence covers an unique segment of the video, describing multiple events that occur. These events may occur over very long or short periods of time and are not limited in any ... | [
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2042af8ea928da30559f8a56dd81f36a945c6fc6 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
-... | HuggingFaceM4/TGIF | [
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"license... | 2022-05-17T10:40:36+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering", "visual-question-answering"], "task_ids": ["clo... | 2022-10-25T09:25:38+00:00 | [
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===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Personal and Sensitive Information
* Considerations for Using th... | [
"### Dataset Summary\n\n\nThe Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs. The animated GIFs have been collected from Tumblr, from randomly selected posts published between May and June of 2015. We provide the URLs of animated GIFs in this ... | [
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5c40f6fec6cd51e0122a9d0e6cb7565dec34ca7a | # Dataset Card for sd-nlp
## Table of Contents
- [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | EMBO/sd-nlp-non-tokenized | [
"task_categories:token-classification",
"task_categories:text-classification",
"task_ids:multi-class-classification",
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"task_ids:parsing",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categorie... | 2022-05-17T11:34:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification", "text-classification"], "task_ids": ["multi-cl... | 2023-01-19T10:12:45+00:00 | [] | [
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## Table of Contents
- [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Da... | [
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"## Table of Contents\n- [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name)\n - Table of Contents\n - Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n - Dataset Structure\n - Data Instances\n - D... | [
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ab6beed52fd523875ea09f525e5f42f91f086575 | # Dataset Card for YOSM
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [D... | Iyanuoluwa/YOSM | [
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
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"source_datasets:original",
"language:yo",
"license:unknown",
"movie reviews",
"nollywood",
"arxi... | 2022-05-17T12:00:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["yo"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis"], "tags": ["movie... | 2023-01-10T06:28:01+00:00 | [
"2204.09711"
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"yo"
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| Dataset Card for YOSM
=====================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Pers... | [
"### Dataset Summary\n\n\nYOSM is the first Yorùbá sentiment corpus for Nollywood movie reviews. The reviews were collected from movie reviews websites - IMDB, Rotten Tomatoes, LetterboxD, Cinemapointer, and Nollyrated.",
"### Languages\n\n\nYorùbá (ISO 639-1: yo) - the third most spoken indigenous African langua... | [
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c8f8a04c85d0138d9e220e3670c400a11b788145 |
Original dataset at [this repo](https://github.com/laleye/pyFongbe)
We transformed the original repo to take into account the waveform values directly in the csv.
Using `IPython.diplay` module, you can load an audio by doing:
```python
import pandas as pd
from IPython.display import Audio, display
train = pd.read_... | godwinh/fongbe-asr | [
"license:apache-2.0",
"region:us"
] | 2022-05-17T15:34:31+00:00 | {"license": "apache-2.0"} | 2022-05-30T13:36:46+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Original dataset at this repo
We transformed the original repo to take into account the waveform values directly in the csv.
Using 'URL' module, you can load an audio by doing:
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44ae4417b5a84a46a2d651546d38ad6c906f6f9f | ROOTS Subset: roots_ar_arabench
# arabench
- Dataset uid: `arabench`
### Description
AraBench is an evaluation suite for dialectal Arabic to English machine translation. AraBench offers 4 coarse, 15 fine-grained and 25 city-level dialect categories, belonging to diverse genres, such as media, chat, religion and tra... | bigscience-data/roots_ar_arabench | [
"language:ar",
"license:apache-2.0",
"region:us"
] | 2022-05-18T08:03:10+00:00 | {"language": "ar", "license": "apache-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "... | 2022-12-12T10:59:54+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-apache-2.0 #region-us
| ROOTS Subset: roots_ar_arabench
# arabench
- Dataset uid: 'arabench'
### Description
AraBench is an evaluation suite for dialectal Arabic to English machine translation. AraBench offers 4 coarse, 15 fine-grained and 25 city-level dialect categories, belonging to diverse genres, such as media, chat, religion and tra... | [
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5dd3350f4affa3e096b9aaf0afc69ad166059b29 | ROOTS Subset: roots_ar_labr
# labr
- Dataset uid: `labr`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0076 % of total
- 0.0701 % of ar
### BigScience processing steps
#### Filters applied to: ar
- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filt... | bigscience-data/roots_ar_labr | [
"language:ar",
"license:gpl-2.0",
"region:us"
] | 2022-05-18T08:06:23+00:00 | {"language": "ar", "license": "gpl-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "che... | 2022-12-12T10:59:59+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-gpl-2.0 #region-us
| ROOTS Subset: roots_ar_labr
# labr
- Dataset uid: 'labr'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0076 % of total
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### BigScience processing steps
#### Filters applied to: ar
- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filt... | [
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cd81d6bdf8ff0507d847c641ecb3c89dca5c032f | ROOTS Subset: roots_ar_wikinews
# wikinews_filtered
- Dataset uid: `wikinews_filtered`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0307 % of total
- 0.0701 % of ar
- 0.3036 % of pt
- 0.0271 % of en
- 0.0405 % of fr
- 0.2119 % of indic-ta
- 0.0081 % of zh
- 0.0510 % of ... | bigscience-data/roots_ar_wikinews | [
"language:ar",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-05-18T08:06:27+00:00 | {"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter":... | 2022-12-12T11:00:04+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-sa-3.0 #region-us
| ROOTS Subset: roots_ar_wikinews
# wikinews_filtered
- Dataset uid: 'wikinews_filtered'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0307 % of total
- 0.0701 % of ar
- 0.3036 % of pt
- 0.0271 % of en
- 0.0405 % of fr
- 0.2119 % of indic-ta
- 0.0081 % of zh
- 0.0510 % of ... | [
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"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
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5f30313f238e6fb9dc3216cdbb70609aef7fe8de | ROOTS Subset: roots_ar_wikiquote
# wikiquote_filtered
- Dataset uid: `wikiquote_filtered`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0462 % of total
- 0.1697 % of en
- 0.0326 % of fr
- 0.0216 % of ar
- 0.0066 % of zh
- 0.0833 % of pt
- 0.0357 % of es
- 0.0783 % of ind... | bigscience-data/roots_ar_wikiquote | [
"language:ar",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-05-18T08:06:27+00:00 | {"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter":... | 2022-12-12T11:00:10+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-sa-3.0 #region-us
| ROOTS Subset: roots_ar_wikiquote
# wikiquote_filtered
- Dataset uid: 'wikiquote_filtered'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0462 % of total
- 0.1697 % of en
- 0.0326 % of fr
- 0.0216 % of ar
- 0.0066 % of zh
- 0.0833 % of pt
- 0.0357 % of es
- 0.0783 % of ind... | [
"# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'",
"### Description",
"### Homepage",
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"### Speaker Locations",
"### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\... | [
"TAGS\n#language-Arabic #license-cc-by-sa-3.0 #region-us \n",
"# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
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2535686910bc5a4b3cdbb07fcfec2ccd4363188e | ROOTS Subset: roots_ar_wikiversity
# wikiversity_filtered
- Dataset uid: `wikiversity_filtered`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0367 % of total
- 0.1050 % of en
- 0.1178 % of fr
- 0.1231 % of pt
- 0.0072 % of zh
- 0.0393 % of es
- 0.0076 % of ar
- 0.0069 % ... | bigscience-data/roots_ar_wikiversity | [
"language:ar",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-05-18T08:06:27+00:00 | {"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter":... | 2022-12-12T11:00:16+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-sa-3.0 #region-us
| ROOTS Subset: roots_ar_wikiversity
# wikiversity_filtered
- Dataset uid: 'wikiversity_filtered'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 0.0367 % of total
- 0.1050 % of en
- 0.1178 % of fr
- 0.1231 % of pt
- 0.0072 % of zh
- 0.0393 % of es
- 0.0076 % of ar
- 0.0069 % ... | [
"# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'",
"### Description",
"### Homepage",
"### Licensing",
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"### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 % of zh\n- 0.0393 % of es\n- 0.0076 % of ar\n- 0.0069 % of indic... | [
"TAGS\n#language-Arabic #license-cc-by-sa-3.0 #region-us \n",
"# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
"### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 ... | [
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c946fe7edfad84aa8895c3151f86e7fff313aaa0 | ROOTS Subset: roots_ca_catalan_government_crawling
# Catalan Government Crawling
- Dataset uid: `catalan_government_crawling`
### Description
The Catalan Government Crawling Corpus is a 39-million-token web corpus of Catalan built from the web. It has been obtained by crawling the .gencat domain and subdomains, bel... | bigscience-data/roots_ca_catalan_government_crawling | [
"language:ca",
"license:cc0-1.0",
"region:us"
] | 2022-05-18T08:06:28+00:00 | {"language": "ca", "license": "cc0-1.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "che... | 2022-12-12T11:00:27+00:00 | [] | [
"ca"
] | TAGS
#language-Catalan #license-cc0-1.0 #region-us
| ROOTS Subset: roots_ca_catalan_government_crawling
# Catalan Government Crawling
- Dataset uid: 'catalan_government_crawling'
### Description
The Catalan Government Crawling Corpus is a 39-million-token web corpus of Catalan built from the web. It has been obtained by crawling the .gencat domain and subdomains, bel... | [
"# Catalan Government Crawling\n\n- Dataset uid: 'catalan_government_crawling'",
"### Description\n\nThe Catalan Government Crawling Corpus is a 39-million-token web corpus of Catalan built from the web. It has been obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government during... | [
"TAGS\n#language-Catalan #license-cc0-1.0 #region-us \n",
"# Catalan Government Crawling\n\n- Dataset uid: 'catalan_government_crawling'",
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"passage: TAGS\n#language-Catalan #license-cc0-1.0 #region-us \n# Catalan Government Crawling\n\n- Dataset uid: 'catalan_government_crawling'### Description\n\nThe Catalan Government Crawling Corpus is a 39-million-token web corpus of Catalan built from the web. It has been obtained by crawling the .gencat domain a... |
09cb1c000d6d03fede5f4e7a57f3f4612f65e4e6 | ROOTS Subset: roots_ar_wikisource
# wikisource_filtered
- Dataset uid: `wikisource_filtered`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.6306 % of total
- 12.7884 % of fr
- 19.8886 % of indic-bn
- 20.9966 % of indic-ta
- 2.3478 % of ar
- 4.7068 % of indic-hi
- 18.0998 ... | bigscience-data/roots_ar_wikisource | [
"language:ar",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-05-18T08:06:32+00:00 | {"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter":... | 2022-12-12T11:00:32+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-sa-3.0 #region-us
| ROOTS Subset: roots_ar_wikisource
# wikisource_filtered
- Dataset uid: 'wikisource_filtered'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.6306 % of total
- 12.7884 % of fr
- 19.8886 % of indic-bn
- 20.9966 % of indic-ta
- 2.3478 % of ar
- 4.7068 % of indic-hi
- 18.0998 ... | [
"# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
"### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of ind... | [
"TAGS\n#language-Arabic #license-cc-by-sa-3.0 #region-us \n",
"# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
"### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-... | [
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441892656c35920356185adba185e8a09eea557f | ROOTS Subset: roots_ca_enriched_conllu_ancora_for_ml_training
# Enriched CONLLU Ancora for ML training
- Dataset uid: `enriched_conllu_ancora_for_ml_training`
### Description
This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .
This version of the corpus was develop... | bigscience-data/roots_ca_enriched_conllu_ancora_for_ml_training | [
"language:ca",
"license:cc-by-4.0",
"region:us"
] | 2022-05-18T08:06:32+00:00 | {"language": "ca", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "c... | 2022-12-12T11:00:37+00:00 | [] | [
"ca"
] | TAGS
#language-Catalan #license-cc-by-4.0 #region-us
| ROOTS Subset: roots_ca_enriched_conllu_ancora_for_ml_training
# Enriched CONLLU Ancora for ML training
- Dataset uid: 'enriched_conllu_ancora_for_ml_training'
### Description
This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .
This version of the corpus was develop... | [
"# Enriched CONLLU Ancora for ML training\n\n- Dataset uid: 'enriched_conllu_ancora_for_ml_training'",
"### Description\n\nThis is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .\n\nThis version of the corpus was developed by BSC TeMU as part of the AINA project, and ... | [
"TAGS\n#language-Catalan #license-cc-by-4.0 #region-us \n",
"# Enriched CONLLU Ancora for ML training\n\n- Dataset uid: 'enriched_conllu_ancora_for_ml_training'",
"### Description\n\nThis is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .\n\nThis version of the corp... | [
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"passage: TAGS\n#language-Catalan #license-cc-by-4.0 #region-us \n# Enriched CONLLU Ancora for ML training\n\n- Dataset uid: 'enriched_conllu_ancora_for_ml_training'### Description\n\nThis is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .\n\nThis version of the corpus ... |
3427690241eeb836fe9abd1aa3645761451f48d9 | ROOTS Subset: roots_ar_wikipedia
# wikipedia
- Dataset uid: `wikipedia`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 3.2299 % of total
- 4.2071 % of en
- 5.6773 % of ar
- 3.3416 % of fr
- 5.2815 % of es
- 12.4852 % of ca
- 0.4288 % of zh
- 0.4286 % of zh
- 5.4743 % of ind... | bigscience-data/roots_ar_wikipedia | [
"language:ar",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-05-18T08:06:35+00:00 | {"language": "ar", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter":... | 2022-12-12T11:00:43+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-sa-3.0 #region-us
| ROOTS Subset: roots_ar_wikipedia
# wikipedia
- Dataset uid: 'wikipedia'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 3.2299 % of total
- 4.2071 % of en
- 5.6773 % of ar
- 3.3416 % of fr
- 5.2815 % of es
- 12.4852 % of ca
- 0.4288 % of zh
- 0.4286 % of zh
- 5.4743 % of ind... | [
"# wikipedia\n\n- Dataset uid: 'wikipedia'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
"### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn... | [
"TAGS\n#language-Arabic #license-cc-by-sa-3.0 #region-us \n",
"# wikipedia\n\n- Dataset uid: 'wikipedia'",
"### Description",
"### Homepage",
"### Licensing",
"### Speaker Locations",
"### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % o... | [
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"passage: TAGS\n#language-Arabic #license-cc-by-sa-3.0 #region-us \n# wikipedia\n\n- Dataset uid: 'wikipedia'### Description### Homepage### Licensing### Speaker Locations### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0... |
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