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db42e5b3fc768e45fb1376dce4367f8f692143cf |
# Dataset Card for Monolingual-Quechua-IIC
## 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](#da... | Llamacha/monolingual-quechua-iic | [
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"regi... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["qu"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<5M"], "source_datasets": ["original"], "task_categories": ["fill-mask"], "task_ids": ["language-modeling", "masked-language-mode... | 2022-10-02T13:40:00+00:00 | [] | [
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|
# Dataset Card for Monolingual-Quechua-IIC
## 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... | [
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b947ddc419921265fe8ba8aba625102e4efbe63b | #Title | LoganKells/amazon_product_reviews_video_games | [
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f70ba107784a66526d326cf1c82bb90bf6c8034a | https://mahoningmed.org/docs/123movies-watch-after-we-fell-2021-hd-full-movie-online-free/
https://mahoningmed.org/docs/123movies-watch-cinderella-2021-hd-full-movie-online-free/
https://mahoningmed.org/docs/123movies-watch-cryptozoo-2021full-movie-hd-free/
https://mahoningmed.org/docs/123movieswatch-breathless-2021hd-... | MBAH/MOVIESON | [
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77ec81315e332a2c07f8aa0edf6ba4f90883332f | # <a href='https://arxiv.org/pdf/1906.01155.pdf'>ShEMO: a large-scale validated database for Persian speech emotion detection</a><br>
## Abstract
<div align="justify"> This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-na... | Mansooreh/sharif-emotional-speech-dataset | [
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#arxiv-1906.01155 #region-us
| <a href='URL a large-scale validated database for Persian speech emotion detection
==================================================================================
Abstract
--------
This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database i... | [
"### Contact\n\n\nParia Jamshid Lou [paria.jamshid-lou@URL](mailto:paria.jamshid-lou@URL)\n\n\nOmid Mohamad Nezami [omid.mohamad-nezami@URL](mailto:omid.mohamad-nezami@URL)"
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] |
2b1de7c5e588ec70afa1e753394ae25531e0d182 | ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
### Train Sets
To create training set or entailment and QA tasks, download the ShARC data from here: https://sharc-data.github.io/data.html. After that, run the script from _create_train_from_sharc.py_, by providing the path to the ShA... | Marzipan/QA4PC | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-16T13:45:34+00:00 | [] | [] | TAGS
#region-us
| ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
### Train Sets
To create training set or entailment and QA tasks, download the ShARC data from here: URL After that, run the script from _create_train_from_sharc.py_, by providing the path to the ShARC train and development sets.
### ... | [
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83b690cb666c5a8869e7f213a877bbd24a642d7c | # Dataset Card for mlquestions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Additional Information](#additional-information)
- [Licensing Inform... | McGill-NLP/mlquestions | [
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] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-11T10:01:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for mlquestions
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard:
- Point ... | [
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33aa688c5b795d2d2dee21da2e46490f72e57ceb | My third Dataset
- for wolf classification | Mulin/my_third_dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-19T00:36:15+00:00 | [] | [] | TAGS
#region-us
| My third Dataset
- for wolf classification | [] | [
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142f1238199fa4a7c76524de93744349092799d7 | # English-Tamil parallel Corpus prepared by the National Languages Processing Center, University of Moratuwa. The data has been cleaned and then aligned.
#En-Ta Glossary Line Count : 22477
#En-Ta Corpus Line Count : 8950
#Source: Data extracted from publicly available government resources such as annual reports, pro... | NLPC-UOM/English-Tamil-Parallel-Corpus | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "languages": ["si"], "licenses": ["mit"]} | 2022-05-20T02:28:51+00:00 | [] | [] | TAGS
#region-us
| # English-Tamil parallel Corpus prepared by the National Languages Processing Center, University of Moratuwa. The data has been cleaned and then aligned.
#En-Ta Glossary Line Count : 22477
#En-Ta Corpus Line Count : 8950
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a27f748842d87dec8a8e5d700d6bc106804a5ad9 | # Sinhala-POS-Data
POS tagged Sinhala text
news- verified- final level.txt file contains the first version of our annotated data. There are 253636 word in it.
TagList.txt contains the tag list.
Tagging Guide.pdf contains a detailed description of the tags.
If you use this data set or the tag set, please cite one of ... | NLPC-UOM/Sinhala-POS-Data | [
"region:us"
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#region-us
| # Sinhala-POS-Data
POS tagged Sinhala text
news- verified- final URL file contains the first version of our annotated data. There are 253636 word in it.
URL contains the tag list.
Tagging URL contains a detailed description of the tags.
If you use this data set or the tag set, please cite one of these as apropriate:... | [
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907b92006761244648449ffa55d88ce42942d793 | # Dataset Card for HuCOLA
## 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-structure)
... | NYTK/HuCOLA | [
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| Dataset Card for HuCOLA
=======================
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 Dat... | [
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61bc890939bb58017be92123cf85b9b556ce1bea |
# Dataset Card for HuCoPA
## 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-structure)... | NYTK/HuCoPA | [
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| Dataset Card for HuCoPA
=======================
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 Dat... | [
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b45ea6dbdec3b8692f02df89e8f943fa8d84e5bf |
# Dataset Card for HuRC
## 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... | NYTK/HuRC | [
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"language:hu"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found", "expert-generated"], "language": ["hu"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|other"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa",... | 2022-07-07T12:03:49+00:00 | [] | [
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=====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
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+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source D... | [
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14215f45b4c630c03dbed18508b18176b691449b |
# Dataset Card for HuSST
## 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)
- [Language](#language)
- [Dataset Structure](#dataset-structu... | NYTK/HuSST | [
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======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Language
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source ... | [
"### Dataset Summary\n\n\nThis is the dataset card for the Hungarian version of the Stanford Sentiment Treebank. This dataset which is also part of the Hungarian Language Understanding Evaluation Benchmark Kit HuLU. The corpus was created by translating and re-annotating the original SST (Roemmele et al., 2011).",
... | [
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b30ddf235604143d10ac9bcd027028863b8d89d4 |
# Dataset Card for HuWNLI
## 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... | NYTK/HuWNLI | [
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"structure... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found", "expert-generated"], "language": ["hu"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|other"], "task_categories": ["other"], "task_ids": ["coreference-resolution"], "prett... | 2023-03-27T08:53:33+00:00 | [] | [
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|
# Dataset Card for HuWNLI
## 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
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... | [
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2c789aab0a4ee94ce96bcb370eca2054d23317ec | TEST | Nathanael/NPS | [
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eaafe98fa72f1c4b7431e2dc38207560b07948cc | # Dataset Card for NbAiLab/NCC
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Data Fields](#data-fiels)
- [Dataset Creation](#dataset-creation)
- [Statistics](#statistics)
- [Document Types](#document-types)
- [Languages](#languages)
- [Publish Periode](#pu... | NbAiLab/NCC | [
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... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en", "nb", false, "nn", "sv", "da", "is", "fo"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["2G<n<1B"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["lan... | 2023-11-17T12:48:38+00:00 | [
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============================
Table of Contents
-----------------
* Dataset Description
* Dataset Summary
* Data Fields
* Dataset Creation
* Statistics
* Document Types
* Languages
* Publish Periode
* Considerations for Using the Data
* Social Impact of Dataset
* Discussion of Biases
* O... | [
"### Dataset Summary\n\n\nThe NCC dataset contains json lines with language training data. Here is an example json line:\n\n\nData Fields\n-----------",
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026b1dfb9e5c256ff47163e04a686c2332603868 | # Dataset Card for NbAiLab/NPSC
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Data Fields](#data-fiels)
- [Dataset Creation](#dataset-creation)
- [Statistics](#statistics)
- [Document Types](#document-types)
- [Languages](#languages)
- [Publish Periode](#p... | NbAiLab/NPSC | [
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"license:cc0... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["no", "nb", "nn"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["2G<n<1B"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classification"], "pretty_na... | 2023-04-25T08:52:08+00:00 | [] | [
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=============================
Table of Contents
-----------------
* Dataset Description
* Dataset Summary
* Data Fields
* Dataset Creation
* Statistics
* Document Types
* Languages
* Publish Periode
* Considerations for Using the Data
* Social Impact of Dataset
* Discussion of Biases
*... | [
"#### Initial Data Collection\n\n\nThe procedure for the dataset creation is described in detail in our paper.\n\n\nStatistics\n----------\n\n\n\nConsiderations for Using the Data\n---------------------------------\n\n\nThis corpus contains speech data. All recordings are of members of Parliament in a public settin... | [
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0c85e09ec2892d276417ea695f7a25db525cc687 | # Dataset Card for NBAiLab/NPSC
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Data Fields](#data-fiels)
- [Dataset Creation](#dataset-creation)
- [Statistics](#statistics)
- [Document Types](#document-types)
- [Languages](#languages)
- [Publish Periode](#p... | NbAiLab/NPSC_test | [
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"license:cc0... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["nb", "no", "nn"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["2G<n<1B"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classification"], "task_ids"... | 2022-11-07T12:37:31+00:00 | [] | [
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=============================
Table of Contents
-----------------
* Dataset Description
* Dataset Summary
* Data Fields
* Dataset Creation
* Statistics
* Document Types
* Languages
* Publish Periode
* Considerations for Using the Data
* Social Impact of Dataset
* Discussion of Biases
*... | [
"### Version A\n\n\nThis verison has a short list of the metadata and includes the audio (48k mp3) encoded as a float32 array in the dataset itself.\n\n\nThe current dataloader script is associated with this version.\n\n\nOne line in URL looks like this:",
"### Version B\n\n\nThis verison does not contain the aud... | [
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539cf25078d1136058e2580552acf5d8b5f26248 |
# Dataset Card Creation Guide
## 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... | NbAiLab/norec_agg | [
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"region:u... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"]} | 2022-07-01T18:53:24+00:00 | [
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| Dataset Card Creation Guide
===========================
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 ... | [
"### Dataset Summary\n\n\nAggregated NoRec\\_fine: A Fine-grained Sentiment Dataset for Norwegian.\nThis dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC\\_fine and removing sentences with conflicting or no sentiment.",
"### Supported Tasks and ... | [
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270602110690593f77f68735c8b17b5a50ce9182 |
# Dataset Card for NorNE: Norwegian Named Entities
## 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-insta... | NbAiLab/norne | [
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"license:other"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["no"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition", "p... | 2022-11-07T12:41:46+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
... | [
"### Dataset Summary\n\n\nNorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of enti... | [
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f7393532774c66312378d30b197610b43d751972 |
# Dataset Card Creation Guide
## 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... | NbAiLab/norwegian_parliament | [
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| Dataset Card Creation Guide
===========================
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 ... | [
"### Dataset Summary\n\n\nThe Norwegian Parliament Speeches is a collection of text passages from 1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti. The dataset is annotated with the party the speaker was associat... | [
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8d1fa0a3369522cb04e3d427293f7b5f48103f94 | This dataset can be found in Kaggle | Nuwaisir/Quran_speech_recognition_kaggle | [
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08e4869ec670f065a83a9b805d5dcfdaddc59f6b |
# Dataset Card for [Dataset Name]
## 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-st... | OmarN121/train | [
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# Dataset Card for [Dataset Name]
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9d2ac89df04254e5c427bcc8d61b6d6c83a1f59b |
# Dataset Card for HateCheck
## Dataset Description
HateCheck is a suite of functional test for hate speech detection models.
The dataset contains 3,728 validated test cases in 29 functional tests.
19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging types of non... | Paul/hatecheck | [
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"regi... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pr... | 2022-07-05T09:27:25+00:00 | [
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|
# Dataset Card for HateCheck
## Dataset Description
HateCheck is a suite of functional test for hate speech detection models.
The dataset contains 3,728 validated test cases in 29 functional tests.
19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging types of non... | [
"# Dataset Card for HateCheck",
"## Dataset Description\n\nHateCheck is a suite of functional test for hate speech detection models. \nThe dataset contains 3,728 validated test cases in 29 functional tests.\n19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging ... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-2012.15606 #region-us \n",
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14cf38fdcc9469dff7c340e5c5a6385991e6457a | See https://github.com/PaulLerner/ViQuAE
Get the original dataset there: http://nlp.cs.washington.edu/triviaqa/ (or via HF: https://huggingface.co/datasets/trivia_qa) | PaulLerner/triviaqa_for_viquae | [
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800a1b34736e3f105621b578e15cc7de2a834eb8 | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
| PaulLerner/viquae_all_images | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-10T10:59:10+00:00 | [] | [] | TAGS
#region-us
| See URL
---
license: cc-by-4.0
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779bec48cd16da60a0f217c39cb6b57f16cbc06b | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
| PaulLerner/viquae_dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-15T17:43:12+00:00 | [] | [] | TAGS
#region-us
| See URL
---
license: cc-by-4.0
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0f9179e71a05d365e485aeefe07f19d041d7e76c | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
| PaulLerner/viquae_images | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-15T17:29:53+00:00 | [] | [] | TAGS
#region-us
| See URL
---
license: cc-by-4.0
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003b63177d1d4a2865d1e437b7a84817e42bb32d | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-3.0
---
| PaulLerner/viquae_wikipedia | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-18T11:34:47+00:00 | [] | [] | TAGS
#region-us
| See URL
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license: cc-by-3.0
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bb1d91e8434fb11bbb1006a63af37cf9509f40e2 | This is the dataset | Pengfei/test1 | [
"region:us"
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| This is the dataset | [] | [
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f9928e8819596a601b8887cc5f8598b15d589a82 |
# SQAC (Spanish Question-Answering Corpus)
## Dataset Description
SQAC is an extractive QA dataset for the Spanish language.
- **Paper:** [MarIA: Spanish Language Models](https://upcommons.upc.edu/bitstream/handle/2117/367156/6405-5863-1-PB%20%281%29.pdf?sequence=1)
- **Point of Contact:** carlos.rodriguez1@bsc.es
... | PlanTL-GOB-ES/SQAC | [
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"arxiv:1606.05250",
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| SQAC (Spanish Question-Answering Corpus)
========================================
Dataset Description
-------------------
SQAC is an extractive QA dataset for the Spanish language.
* Paper: MarIA: Spanish Language Models
* Point of Contact: carlos.rodriguez1@URL
* Leaderboard: [EvalEs] (URL
### Dataset Summary
... | [
"### Dataset Summary\n\n\nContains 6,247 contexts and 18,817 questions with their respective answers, 1 to 5 for each fragment.\n\n\nThe sources of the contexts are:\n\n\n* Encyclopedic articles from the Spanish Wikipedia, used under CC-by-sa licence.\n* News articles from Wikinews, used under CC-by licence.\n* New... | [
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6aa7eccb5dd39278ceaa47d4d2fdd8ffdc33a13b |
# CANTEMIST
## Dataset Description
Manually classified collection of Spanish oncological clinical case reports.
- **Homepage:** [zenodo](https://zenodo.org/record/3978041)
- **Paper:** [Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spa... | PlanTL-GOB-ES/cantemist-ner | [
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| CANTEMIST
=========
Dataset Description
-------------------
Manually classified collection of Spanish oncological clinical case reports.
* Homepage: zenodo
* Paper: Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guide... | [
"### Dataset Summary\n\n\nCollection of 1301 oncological clinical case reports written in Spanish, with tumor morphology mentions manually annotated and mapped by clinical experts to a controlled terminology. Every tumor morphology mention is linked to an eCIE-O code (the Spanish equivalent of ICD-O).\n\n\nThe trai... | [
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0400dea295f345309e77f92656ef65b636fef238 |
# PharmaCoNER
## Dataset Description
Manually classified collection of Spanish clinical case studies.
- **Homepage:** [zenodo](https://zenodo.org/record/4270158)
- **Paper:** [PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track](https://aclanthology.org/D19-5701/)
- **Poin... | PlanTL-GOB-ES/pharmaconer | [
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"spanish",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "tags": ["biomedical", "clinical", "spanish"]} | 2022-11-18T12:06:36+00:00 | [] | [
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| PharmaCoNER
===========
Dataset Description
-------------------
Manually classified collection of Spanish clinical case studies.
* Homepage: zenodo
* Paper: PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track
* Point of Contact: encargo-pln-life@URL
### Dataset Summary... | [
"### Dataset Summary\n\n\nManually classified collection of clinical case studies derived from the Spanish Clinical Case Corpus (SPACCC), an open access electronic library that gathers Spanish medical publications from SciELO.\n\n\nThe PharmaCoNER corpus contains a total of 396,988 words and 1,000 clinical cases th... | [
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3214aea668533584604213ce045faf6c31886643 | OpenSLR is a site devoted to hosting speech and language resources,
such as training corpora for speech recognition, and software related to speech recognition.
They intend to be a convenient place for anyone to put resources that they have created,
so that they can be downloaded publicly.
They aim to provide a centr... | Pratik/Gujarati_OpenSLR | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-17T13:36:56+00:00 | [] | [] | TAGS
#region-us
| OpenSLR is a site devoted to hosting speech and language resources,
such as training corpora for speech recognition, and software related to speech recognition.
They intend to be a convenient place for anyone to put resources that they have created,
so that they can be downloaded publicly.
They aim to provide a centr... | [] | [
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ced9365b1e8c7f3df9fd8cabc9c2a067cb958791 | # Dataset for annotation
## Files and their description
1. combined_all_stats_csv
- This is the CSV File containing statistics for the patent dataset
> can be downloaded from the Git Repo.
- What are the statistics it shows?
> This file contains columns such as filename, total publications, total positive ... | Renukswamy/Patent_sentiment_analysis | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-26T09:18:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset for annotation
## Files and their description
1. combined_all_stats_csv
- This is the CSV File containing statistics for the patent dataset
> can be downloaded from the Git Repo.
- What are the statistics it shows?
> This file contains columns such as filename, total publications, total positive ... | [
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c81e931641843d953dc134ae4bcfc27866710dd2 | # Persian Blog
# Dataset Summary
persian_news_dataset is a collection of 400k blog posts. these posts have been gathered from more than 10 websites. This dataset can be used in different NLP tasks like language modeling and text generation tasks.
This effort is part of a bigger perspective to have several datasets ... | RohanAiLab/persian_blog | [
"task_categories:text-generation",
"task_ids:language-modeling",
"source_datasets:original",
"language:fa",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["fa"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "persian_blog"} | 2022-10-25T08:06:36+00:00 | [] | [
"fa"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #source_datasets-original #language-Persian #region-us
| # Persian Blog
# Dataset Summary
persian_news_dataset is a collection of 400k blog posts. these posts have been gathered from more than 10 websites. This dataset can be used in different NLP tasks like language modeling and text generation tasks.
This effort is part of a bigger perspective to have several datasets ... | [
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234cb96c879728e1cd24fbc535da0bef6098322b | # Persian Daily News
# Dataset Summary
persian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractive summarization and paraphrasing tasks.
This effort is part of a bigger perspective to have several datasets in Persian language(and ot... | RohanAiLab/persian_daily_news | [
"source_datasets:original",
"language:fa",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["fa"], "source_datasets": ["original"], "task_categories": ["Summarization", "sequence-modeling"], "pretty_name": "Persian Daily News"} | 2022-10-21T15:13:09+00:00 | [] | [
"fa"
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#source_datasets-original #language-Persian #region-us
| # Persian Daily News
# Dataset Summary
persian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractive summarization and paraphrasing tasks.
This effort is part of a bigger perspective to have several datasets in Persian language(and ot... | [
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883746f06ee0fb9ef98d37721c257d9287f1256e | # Persian_News_Dataset
# Dataset Summary
persian_news_dataset is a collection of 5 million news articles. News articles have been gathered from more than 10 news agencies for the last 12 years. This dataset can be used in different NLP tasks like language modeling, classification, supervised topic modeling,...
This... | RohanAiLab/persian_news_dataset | [
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"task_ids:multi-class-classification",
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"language:fa",
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#task_categories-text-classification #task_ids-language-modeling #task_ids-multi-class-classification #source_datasets-original #language-Persian #region-us
| # Persian_News_Dataset
# Dataset Summary
persian_news_dataset is a collection of 5 million news articles. News articles have been gathered from more than 10 news agencies for the last 12 years. This dataset can be used in different NLP tasks like language modeling, classification, supervised topic modeling,...
This... | [
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5a314e73c690b159983b2e45b9d4c0500a80cfd0 | # PersianQA: a dataset for Persian Question Answering
Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in... | SajjadAyoubi/persian_qa | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-29T05:11:18+00:00 | [] | [] | TAGS
#region-us
| PersianQA: a dataset for Persian Question Answering
===================================================
Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answe... | [
"### Access/Download\n\n\n* You can find the data under the 'dataset/' directory. and use it like this\n* Alternatively, you can also access the data through the HuggingFace datasets library\n\n\n\t+ First, you need to install datasets using this command in your terminal:\n* Then import 'persian\\_qa' dataset using... | [
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"passage: TAGS\n#region-us \n### Access/Download\n\n\n* You can find the data under the 'dataset/' directory. and use it like this\n* Alternatively, you can also access the data through the HuggingFace datasets library\n\n\n\t+ First, you need to install datasets using this command in your terminal:\n* Then import ... |
78526be8ce25858cf5ce2c4719fd9d7af4d811ad |
# Dataset Card for "nepalitext-language-model-dataset"
### Dataset Summary
"NepaliText" language modeling dataset is a collection of over 13 million Nepali text sequences (phrases/sentences/paragraphs) extracted by combining the datasets: [OSCAR](https://huggingface.co/datasets/oscar) , [cc100](https://huggingface.c... | Sakonii/nepalitext-language-model-dataset | [
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"regio... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found", "other"], "language": ["ne"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "source_datasets": ["extended|oscar", "extended|cc100"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "nepalit... | 2022-10-25T05:14:22+00:00 | [] | [
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| Dataset Card for "nepalitext-language-model-dataset"
====================================================
### Dataset Summary
"NepaliText" language modeling dataset is a collection of over 13 million Nepali text sequences (phrases/sentences/paragraphs) extracted by combining the datasets: OSCAR , cc100 and a set of... | [
"### Dataset Summary\n\n\n\"NepaliText\" language modeling dataset is a collection of over 13 million Nepali text sequences (phrases/sentences/paragraphs) extracted by combining the datasets: OSCAR , cc100 and a set of scraped Nepali articles on Wikipedia.",
"### Supported Tasks and Leaderboards\n\n\nThis dataset... | [
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e4b5e7000236325106d5cb9f4d6ed874bbd18976 | Hello
| Samip/func | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-15T05:35:47+00:00 | [] | [] | TAGS
#region-us
| Hello
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2b12fc88f0c661409b85a55136dfd1f030a9cf67 | This is a dataset extracted from the Natural Questions dataset
This dataset is currently under development | SaulLu/Natural_Questions_HTML | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-27T17:58:58+00:00 | [] | [] | TAGS
#region-us
| This is a dataset extracted from the Natural Questions dataset
This dataset is currently under development | [] | [
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6
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e73b4ff89f31e0fbbb720aae0d8079bdcdf93d7d |
# Dataset Card for GitHub Issues
## Dataset Description
this was an example dataset made from the huggingface course | SebastianS/github-issues | [
"task_categories:text-classification",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced"], "language": ["en-US"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "github-issues"} | 2022-10-25T08:06:38+00:00 | [] | [
"en-US"
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#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-unknown #region-us
|
# Dataset Card for GitHub Issues
## Dataset Description
this was an example dataset made from the huggingface course | [
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f1b91292074e7cfb69be58b642d583ec262f30ed | This is a version of the [20 newsgroups dataset](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#the-20-newsgroups-text-dataset) that is provided in Scikit-learn. From the Scikit-learn docs:
> The 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics split in two subsets: one for tra... | SetFit/20_newsgroups | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-03T08:27:00+00:00 | [] | [] | TAGS
#region-us
| This is a version of the 20 newsgroups dataset that is provided in Scikit-learn. From the Scikit-learn docs:
> The 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics split in two subsets: one for training (or development) and the other one for testing (or for performance evaluation). The split ... | [] | [
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0a34640b3cac3affef6f0abdfb81e3d0ecffcf92 | # TREC Question Classification
Question classification in coarse and fine-grained categories.
Source:
[Experimental Data for Question Classification](https://cogcomp.seas.upenn.edu/Data/QA/QC/)
Xin Li, Dan Roth, Learning Question Classifiers. COLING'02, Aug., 2002. | SetFit/TREC-QC | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-15T22:42:56+00:00 | [] | [] | TAGS
#region-us
| # TREC Question Classification
Question classification in coarse and fine-grained categories.
Source:
Experimental Data for Question Classification
Xin Li, Dan Roth, Learning Question Classifiers. COLING'02, Aug., 2002. | [
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] |
53e2aca73f7af37bfc24e0670c361d39809ad2ab | # Amazon Multilingual Counterfactual Dataset
The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot take place. Counterfactual statemen... | SetFit/amazon_counterfactual | [
"arxiv:2104.06893",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-08T10:15:40+00:00 | [
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#arxiv-2104.06893 #region-us
| # Amazon Multilingual Counterfactual Dataset
The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot take place. Counterfactual statemen... | [
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bb7e3bd207c48e2c4046f0c16107beda80c91342 | # Amazon Counterfactual Statements
This dataset is the *en-ext* split from [SetFit/amazon_counterfactual](https://huggingface.co/datasets/SetFit/amazon_counterfactual). As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.
The dataset is describ... | SetFit/amazon_counterfactual_en | [
"arxiv:2104.06893",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-11T13:03:45+00:00 | [
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#arxiv-2104.06893 #region-us
| # Amazon Counterfactual Statements
This dataset is the *en-ext* split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.
The dataset is described in amazon-multilingual-counterfactual-dataset / Paper
It c... | [
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3587946a5360b8c81993d551b16f4951e025fb6d | # BBC News Topic Classification
Dataset on [BBC News Topic Classification](https://www.kaggle.com/yufengdev/bbc-text-categorization/data): 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech. | SetFit/bbc-news | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-18T05:58:34+00:00 | [] | [] | TAGS
#region-us
| # BBC News Topic Classification
Dataset on BBC News Topic Classification: 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech. | [
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6c362e04d016f6b6a9377e85c3b944140f0b96c9 | ** Attention: There appears an overlap in train / test. I trained a model on the train set and achieved 100% acc on test set. With the original emotion dataset this is not the case (92.4% acc)** | SetFit/emotion | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-04-03T19:47:37+00:00 | [] | [] | TAGS
#region-us
| Attention: There appears an overlap in train / test. I trained a model on the train set and achieved 100% acc on test set. With the original emotion dataset this is not the case (92.4% acc) | [] | [
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1916f66c89d52221ae33eb57d44498b4f3a5df22 | This is a version of the [Enron Spam Email Dataset](https://github.com/MWiechmann/enron_spam_data), containing emails (subject + message) and a label whether it is spam or ham. | SetFit/enron_spam | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-16T18:12:43+00:00 | [] | [] | TAGS
#region-us
| This is a version of the Enron Spam Email Dataset, containing emails (subject + message) and a label whether it is spam or ham. | [] | [
"TAGS\n#region-us \n"
] | [
6
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3816a4232f05ebec284ffb76a2b6565d1c858e2a | # Ethos
This dataset is a clone of the official [`ethos` dataset](https://huggingface.co/datasets/ethos) on the Hub. It contains both `binary` and `multilabel` subsets. | SetFit/ethos | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-03T08:31:19+00:00 | [] | [] | TAGS
#region-us
| # Ethos
This dataset is a clone of the official 'ethos' dataset on the Hub. It contains both 'binary' and 'multilabel' subsets. | [
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3e20849175072aa95845981f27938ebeb4eb93e0 |
This is the binary split of [ethos](https://huggingface.co/datasets/ethos), split into train and test.
It contains comments annotated for hate speech or not. | SetFit/ethos_binary | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-16T17:54:54+00:00 | [] | [] | TAGS
#region-us
|
This is the binary split of ethos, split into train and test.
It contains comments annotated for hate speech or not. | [] | [
"TAGS\n#region-us \n"
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6
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b83b20869f3b5eff89c0a375d8d015a878826094 | # GoEmotions
This dataset is a port of the official [`go_emotions` dataset](https://huggingface.co/datasets/go_emotions) on the Hub. It only contains the `simplified` subset as these are the only fields we need for text classification. | SetFit/go_emotions | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-09-08T14:41:33+00:00 | [] | [] | TAGS
#region-us
| # GoEmotions
This dataset is a port of the official 'go_emotions' dataset on the Hub. It only contains the 'simplified' subset as these are the only fields we need for text classification. | [
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d0dafd0c98ed4f90649fbb1c77d5dee7857c0d49 | # hate_speech_offensive
This dataset is a version from [hate_speech_offensive](https://huggingface.co/datasets/hate_speech_offensive), splitted into train and test set. | SetFit/hate_speech_offensive | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-15T21:47:31+00:00 | [] | [] | TAGS
#region-us
| # hate_speech_offensive
This dataset is a version from hate_speech_offensive, splitted into train and test set. | [
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cbc6d860e837a83dc17bc59ef1575825a979e19f | This is a version of the [Quora Insincere Questions Classification](https://www.kaggle.com/c/quora-insincere-questions-classification).
An insincere question is defined as a question intended to make a statement rather than look for helpful answers. About 6% of questions are labeled as insincere. | SetFit/insincere-questions | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-19T18:15:51+00:00 | [] | [] | TAGS
#region-us
| This is a version of the Quora Insincere Questions Classification.
An insincere question is defined as a question intended to make a statement rather than look for helpful answers. About 6% of questions are labeled as insincere. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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1c01c732e1efb5d5090c5618276c010aecebefa3 | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the matched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label c... | SetFit/mnli | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T13:53:53+00:00 | [] | [] | TAGS
#region-us
| # Glue MNLI
This dataset is a port of the official 'mnli' dataset on the Hub.
It contains the matched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
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9a22592a7f30887c20b4f0c45570669002cdca6d | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the mismatched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the labe... | SetFit/mnli_mm | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T13:56:44+00:00 | [] | [] | TAGS
#region-us
| # Glue MNLI
This dataset is a port of the official 'mnli' dataset on the Hub.
It contains the mismatched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
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2e2058c90792fb6dc86125943e4d2f96a5155a6b | # Glue MRPC
This dataset is a port of the official [`mrpc` dataset](https://huggingface.co/datasets/glue/viewer/mrpc/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/mrpc | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T13:18:30+00:00 | [] | [] | TAGS
#region-us
| # Glue MRPC
This dataset is a port of the official 'mrpc' dataset on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
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] |
e08ed8239c319cf7f2d2ab393d1b90e276c39570 | # Glue QNLI
This dataset is a port of the official [`qnli` dataset](https://huggingface.co/datasets/glue/viewer/qnli/train) on the Hub.
Note that the question and sentence columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/qnli | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T13:29:16+00:00 | [] | [] | TAGS
#region-us
| # Glue QNLI
This dataset is a port of the official 'qnli' dataset on the Hub.
Note that the question and sentence columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
"# Glue QNLI\r\n\r\nThis dataset is a port of the official 'qnli' dataset on the Hub. \r\nNote that the question and sentence columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
"TAGS\n#region-us \n",
"# Glue QNLI\r\n\r\nThis dataset is a port of the official 'qnli' dataset on the Hub. \r\nNote that the question and sentence columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
6,
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"passage: TAGS\n#region-us \n# Glue QNLI\r\n\r\nThis dataset is a port of the official 'qnli' dataset on the Hub. \r\nNote that the question and sentence columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] |
df33eff016c496a5b944d026d5c0b511dc1f64f1 | # Glue QQP
This dataset is a port of the official [`qqp` dataset](https://huggingface.co/datasets/glue/viewer/qqp/train) on the Hub.
Note that the question1 and question2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/qqp | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T11:10:11+00:00 | [] | [] | TAGS
#region-us
| # Glue QQP
This dataset is a port of the official 'qqp' dataset on the Hub.
Note that the question1 and question2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
"# Glue QQP\r\n\r\nThis dataset is a port of the official 'qqp' dataset on the Hub. \r\nNote that the question1 and question2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
"TAGS\n#region-us \n",
"# Glue QQP\r\n\r\nThis dataset is a port of the official 'qqp' dataset on the Hub. \r\nNote that the question1 and question2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
6,
69
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"passage: TAGS\n#region-us \n# Glue QQP\r\n\r\nThis dataset is a port of the official 'qqp' dataset on the Hub. \r\nNote that the question1 and question2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] |
23f2a468b9bc13030f5595a2e5f9307cb165280c | # Glue RTE
This dataset is a port of the official [`rte` dataset](https://huggingface.co/datasets/glue/viewer/rte/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/rte | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T12:46:43+00:00 | [] | [] | TAGS
#region-us
| # Glue RTE
This dataset is a port of the official 'rte' dataset on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
"# Glue RTE\r\n\r\nThis dataset is a port of the official 'rte' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
"TAGS\n#region-us \n",
"# Glue RTE\r\n\r\nThis dataset is a port of the official 'rte' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
6,
67
] | [
"passage: TAGS\n#region-us \n# Glue RTE\r\n\r\nThis dataset is a port of the official 'rte' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] |
00ea8ccb7a54b4e3780a3e51aa3f80361ff849c0 | # Stanford Sentiment Treebank - Binary
[Stanford Sentiment Treebank](http://nlp.stanford.edu/sentiment/) with 2 labels: negative, positive
Splits are from:
[https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data](https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data)
... | SetFit/sst2 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-25T06:16:15+00:00 | [] | [] | TAGS
#region-us
| # Stanford Sentiment Treebank - Binary
Stanford Sentiment Treebank with 2 labels: negative, positive
Splits are from:
URL
Training data is on sentence level, not on phrase level!
| [
"# Stanford Sentiment Treebank - Binary\r\n\r\nStanford Sentiment Treebank with 2 labels: negative, positive\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] | [
"TAGS\n#region-us \n",
"# Stanford Sentiment Treebank - Binary\r\n\r\nStanford Sentiment Treebank with 2 labels: negative, positive\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] | [
6,
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"passage: TAGS\n#region-us \n# Stanford Sentiment Treebank - Binary\r\n\r\nStanford Sentiment Treebank with 2 labels: negative, positive\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] |
e51bdcd8cd3a30da231967c1a249ba59361279a3 | # Stanford Sentiment Treebank - Fine-Grained
[Stanford Sentiment Treebank](http://nlp.stanford.edu/sentiment/) with 5 labels: very positive, positive, neutral, negative, very negative
Splits are from:
[https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data](https://github.com/AcademiaSinicaN... | SetFit/sst5 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-25T06:10:36+00:00 | [] | [] | TAGS
#region-us
| # Stanford Sentiment Treebank - Fine-Grained
Stanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative
Splits are from:
URL
Training data is on sentence level, not on phrase level! | [
"# Stanford Sentiment Treebank - Fine-Grained\r\n\r\nStanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] | [
"TAGS\n#region-us \n",
"# Stanford Sentiment Treebank - Fine-Grained\r\n\r\nStanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] | [
6,
51
] | [
"passage: TAGS\n#region-us \n# Stanford Sentiment Treebank - Fine-Grained\r\n\r\nStanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative\r\n\r\nSplits are from: \r\nURL\r\n\r\nTraining data is on sentence level, not on phrase level!"
] |
77bd85cf73a244d4503e477ce6de81196187839f | # Glue STS-B
This dataset is a port of the official [`sts-b` dataset](https://huggingface.co/datasets/glue/viewer/stsb/validation) on the Hub.
This is not a classification task, so the label_text column is only included for consistency
Note that the sentence1 and sentence2 columns have been renamed to text1 and t... | SetFit/stsb | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T14:20:16+00:00 | [] | [] | TAGS
#region-us
| # Glue STS-B
This dataset is a port of the official 'sts-b' dataset on the Hub.
This is not a classification task, so the label_text column is only included for consistency
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the la... | [
"# Glue STS-B\r\n\r\nThis dataset is a port of the official 'sts-b' dataset on the Hub.\r\nThis is not a classification task, so the label_text column is only included for consistency \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not ... | [
"TAGS\n#region-us \n",
"# Glue STS-B\r\n\r\nThis dataset is a port of the official 'sts-b' dataset on the Hub.\r\nThis is not a classification task, so the label_text column is only included for consistency \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAls... | [
6,
94
] | [
"passage: TAGS\n#region-us \n# Glue STS-B\r\n\r\nThis dataset is a port of the official 'sts-b' dataset on the Hub.\r\nThis is not a classification task, so the label_text column is only included for consistency \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\n... |
a0053782f27c4d68d642f4b9169cb1cb49088ee2 | This is the [IITJEE NEET AIIMS Students Questions Data](https://www.kaggle.com/mrutyunjaybiswal/iitjee-neet-aims-students-questions-data) dataset.
It categorizes university entry questions into 4 categories: Physics, Chemistry, Biology, and Mathematics. | SetFit/student-question-categories | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-16T18:32:48+00:00 | [] | [] | TAGS
#region-us
| This is the IITJEE NEET AIIMS Students Questions Data dataset.
It categorizes university entry questions into 4 categories: Physics, Chemistry, Biology, and Mathematics. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f3c1162e678417f664d76b21864fdb87b0615fcf | # Subjective vs Objective
This is the SUBJ dataset as used in [SentEval](https://github.com/facebookresearch/SentEval). It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective | SetFit/subj | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-15T21:34:11+00:00 | [] | [] | TAGS
#region-us
| # Subjective vs Objective
This is the SUBJ dataset as used in SentEval. It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective | [
"# Subjective vs Objective\r\n\r\nThis is the SUBJ dataset as used in SentEval. It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective"
] | [
"TAGS\n#region-us \n",
"# Subjective vs Objective\r\n\r\nThis is the SUBJ dataset as used in SentEval. It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective"
] | [
6,
43
] | [
"passage: TAGS\n#region-us \n# Subjective vs Objective\r\n\r\nThis is the SUBJ dataset as used in SentEval. It contains sentences with an annotation if they sentence describes something subjective about a movie or something objective"
] |
3953bb49397ac2ee228986b2f3080b20cbce1365 | # Toxic Conversation
This is a version of the [Jigsaw Unintended Bias in Toxicity Classification dataset](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview). It contains comments from the Civil Comments platform together with annotations if the comment is toxic or not.
10 annotato... | SetFit/toxic_conversations | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-11T13:45:54+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.
10 annotators annotated each example and, as recommended in the task page, set a comment as toxic ... | [
"# 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\n10 annotators annotated each example and, as recommended in the task page, set a commen... | [
"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\n10 annotators annotated each example and, as recommended in th... | [
6,
102
] | [
"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\n10 annotators annotated each example and, as recommended in... |
568ea1093306f1b0ace849f1d703ad67525355ed | # tweet_eval_stance_abortion
This is the stance_abortion subset of [tweet_eval](https://huggingface.co/datasets/tweet_eval) | SetFit/tweet_eval_stance | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-17T13:01:36+00:00 | [] | [] | TAGS
#region-us
| # tweet_eval_stance_abortion
This is the stance_abortion subset of tweet_eval | [
"# tweet_eval_stance_abortion\r\n\r\nThis is the stance_abortion subset of tweet_eval"
] | [
"TAGS\n#region-us \n",
"# tweet_eval_stance_abortion\r\n\r\nThis is the stance_abortion subset of tweet_eval"
] | [
6,
27
] | [
"passage: TAGS\n#region-us \n# tweet_eval_stance_abortion\r\n\r\nThis is the stance_abortion subset of tweet_eval"
] |
0d5359cfbb2470332f2b82e62269cf755e0ac5c3 | # Tweet Sentiment Extraction
Source: https://www.kaggle.com/c/tweet-sentiment-extraction/data | SetFit/tweet_sentiment_extraction | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-05-12T18:52:02+00:00 | [] | [] | TAGS
#region-us
| # Tweet Sentiment Extraction
Source: URL | [
"# Tweet Sentiment Extraction\n\nSource: URL"
] | [
"TAGS\n#region-us \n",
"# Tweet Sentiment Extraction\n\nSource: URL"
] | [
6,
9
] | [
"passage: TAGS\n#region-us \n# Tweet Sentiment Extraction\n\nSource: URL"
] |
9ffaa43ad4f7a844512d06621fa8b63721232f1e | # Glue WNLI
This dataset is a port of the official [`wnli` dataset](https://huggingface.co/datasets/glue/viewer/wnli/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| SetFit/wnli | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-28T13:48:16+00:00 | [] | [] | TAGS
#region-us
| # Glue WNLI
This dataset is a port of the official 'wnli' dataset on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
| [
"# Glue WNLI\r\n\r\nThis dataset is a port of the official 'wnli' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
"TAGS\n#region-us \n",
"# Glue WNLI\r\n\r\nThis dataset is a port of the official 'wnli' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] | [
6,
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"passage: TAGS\n#region-us \n# Glue WNLI\r\n\r\nThis dataset is a port of the official 'wnli' dataset on the Hub. \r\nNote that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.\r\nAlso, the test split is not labeled; the label column values are always -1."
] |
05600ff310a0970823e70f82f428893b85c71ffe |
# Dataset Card for JaQuAD
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Insta... | SkelterLabsInc/JaQuAD | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ja",
"license:cc-by-sa-3.0",
"arxiv... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["ja"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "p... | 2022-10-25T08:06:40+00:00 | [
"2202.01764"
] | [
"ja"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Japanese #license-cc-by-sa-3.0 #arxiv-2202.01764 #region-us
| Dataset Card for JaQuAD
=======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splitting
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotatio... | [
"### Dataset Summary\n\n\nJapanese Question Answering Dataset (JaQuAD), released in 2022, is a\nhuman-annotated dataset created for Japanese Machine Reading Comprehension.\nJaQuAD is developed to provide a SQuAD-like QA dataset in Japanese.\nJaQuAD contains 39,696 question-answer pairs.\nQuestions and answers are m... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Japanese #license-cc-by-sa-3.0 #arxiv-2202.01764 #region-us \n",... | [
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f89cf4c53510c2351d3f306dcedac046d9f68280 |
# Shellcode_IA32
___Shellcode_IA32___ is a dataset containing _20_ years of shellcodes from a variety of sources is the largest collection of shellcodes in assembly available to date.
This dataset consists of 3,200 examples of instructions in assembly language for _IA-32_ (the 32-bit version of the x86 Intel Archite... | SoLID/shellcode_i_a32 | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"language:code",
"language:en",
"licens... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "found"], "language": ["code", "en"], "license": ["gpl-3.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-model... | 2022-11-17T19:53:43+00:00 | [
"2104.13100"
] | [
"code",
"en"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-found #multilinguality-translation #size_categories-unknown #source_datasets-original #language-code #language-English #license-gpl-3.0 #arxiv-2104.13100 #regio... |
# Shellcode_IA32
___Shellcode_IA32___ is a dataset containing _20_ years of shellcodes from a variety of sources is the largest collection of shellcodes in assembly available to date.
This dataset consists of 3,200 examples of instructions in assembly language for _IA-32_ (the 32-bit version of the x86 Intel Archite... | [
"# Shellcode_IA32\n\n___Shellcode_IA32___ is a dataset containing _20_ years of shellcodes from a variety of sources is the largest collection of shellcodes in assembly available to date.\n\nThis dataset consists of 3,200 examples of instructions in assembly language for _IA-32_ (the 32-bit version of the x86 Intel... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-found #multilinguality-translation #size_categories-unknown #source_datasets-original #language-code #language-English #license-gpl-3.0 #arxiv-2104.13100 ... | [
107,
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55ea22daf606f8305cde921f5a60e9a1989272c5 |
# Dataset Card for one-million-reddit-confessions
## 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 Instanc... | SocialGrep/one-million-reddit-confessions | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T17:48:52+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for one-million-reddit-confessions
## 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
- Perso... | [
"# Dataset Card for one-million-reddit-confessions",
"## 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- Dataset Creation\n - Curation Rationale\n - Source Data\n - A... | [
"TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"# Dataset Card for one-million-reddit-confessions",
"## Table of Contents\n- Dataset Description\n - Dataset ... | [
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c3f8706ec95b94882246edd68b74410080911ecc |
# Dataset Card for one-million-reddit-jokes
## 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](#d... | SocialGrep/one-million-reddit-jokes | [
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|
# Dataset Card for one-million-reddit-jokes
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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e23c47a0aa8fbb2cd63538dea1dc977e2e0f2647 |
# Dataset Card for one-million-reddit-questions
## 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... | SocialGrep/one-million-reddit-questions | [
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|
# Dataset Card for one-million-reddit-questions
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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83362992f86cdfe9cd057069407d943f1baa2976 |
# Dataset Card for one-year-of-r-india
## 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... | SocialGrep/one-year-of-r-india | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T17:48:19+00:00 | [] | [
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|
# Dataset Card for one-year-of-r-india
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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d6b971e2c735261ffba9ec44a60ff4ee492fc431 |
# Dataset Card for reddit-crypto-aug-2021
## 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](#dat... | SocialGrep/reddit-crypto-aug-2021 | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T18:08:05+00:00 | [] | [
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|
# Dataset Card for reddit-crypto-aug-2021
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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70a0d87706eb429c9ecbefe862d8d7ef0e0c7837 |
# Dataset Card for reddit-nonewnormal-complete
## 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]... | SocialGrep/reddit-nonewnormal-complete | [
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"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T18:02:06+00:00 | [] | [
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|
# Dataset Card for reddit-nonewnormal-complete
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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0de5fd81c695f468b56d8274241e1ad3f40ae9ac |
# Dataset Card for reddit-wallstreetbets-aug-2021
## 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 Instanc... | SocialGrep/reddit-wallstreetbets-aug-2021 | [
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T18:15:07+00:00 | [] | [
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|
# Dataset Card for reddit-wallstreetbets-aug-2021
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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077b6add1d663d3168679a0329eb13b110c3f79a |
# Dataset Card for ten-million-reddit-answers
## 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](... | SocialGrep/ten-million-reddit-answers | [
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"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"]} | 2022-07-01T16:38:25+00:00 | [] | [
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|
# Dataset Card for ten-million-reddit-answers
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
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- Data Splits
- Dataset Creation
- Curation Rationale
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b4fd711a8bdf95379deddedec9c10abd428cf8ab |
# Dataset Card for the-2022-trucker-strike-on-reddit
## 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 Inst... | SocialGrep/the-2022-trucker-strike-on-reddit | [
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"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T17:00:49+00:00 | [] | [
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|
# Dataset Card for the-2022-trucker-strike-on-reddit
## 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
- Pe... | [
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63d8c86b1e3c714fd00c98c986eef9e5c6914b26 |
# Dataset Card for the-reddit-covid-dataset
## 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](#d... | SocialGrep/the-reddit-covid-dataset | [
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"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T17:40:57+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for the-reddit-covid-dataset
## 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 an... | [
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"TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
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4e365e048efa0d81fd4ceb4bd79b0be8b9b69fe7 |
# Dataset Card for top-american-universities-on-reddit
## 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 In... | SocialGrep/top-american-universities-on-reddit | [
"annotations_creators:lexyr",
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"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"]} | 2022-07-25T17:57:00+00:00 | [] | [
"en"
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#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for top-american-universities-on-reddit
## 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
- ... | [
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bfca53175d032213e8bb52537ef9c5c5c504e8e6 | A parallel text corpus, **SALT -- (Sunbird African Language Translation Dataset)**, was created for five Ugandan languages (Luganda,
Runyankore, Acholi, Lugbara and Ateso) and various methods were explored to train and evaluate translation models. | Sunbird/salt-dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-28T12:04:56+00:00 | [] | [] | TAGS
#region-us
| A parallel text corpus, SALT -- (Sunbird African Language Translation Dataset), was created for five Ugandan languages (Luganda,
Runyankore, Acholi, Lugbara and Ateso) and various methods were explored to train and evaluate translation models. | [] | [
"TAGS\n#region-us \n"
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8156e2a3041b6fb41f722e237a96a3e12b3491e8 | [SuperAI Engineer Season 2](https://superai.aiat.or.th/) , [Machima](https://machchima.superai.me/)
Machima_ThaiQA_LST20 เป็นชุดข้อมูลที่สกัดหาคำถาม และคำตอบ จากบทความในชุดข้อมูล LST20 โดยสกัดได้คำถาม-ตอบทั้งหมด 7,642 คำถาม มีข้อมูล 4 คอลัมน์ ประกอบด้วย context, question, answer และ status ตามลำดับ
แสดงตัวอย่างดังนี้... | SuperAI2-Machima/ThaiQA_LST20 | [
"license:mit",
"question-generation dataset",
"qa dataset",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["thai", "th"], "license": "mit", "tags": ["question-generation dataset", "qa dataset"], "datasets": ["LST20"]} | 2022-02-25T06:29:22+00:00 | [] | [
"thai",
"th"
] | TAGS
#license-mit #question-generation dataset #qa dataset #region-us
| SuperAI Engineer Season 2 , Machima
Machima_ThaiQA_LST20 เป็นชุดข้อมูลที่สกัดหาคำถาม และคำตอบ จากบทความในชุดข้อมูล LST20 โดยสกัดได้คำถาม-ตอบทั้งหมด 7,642 คำถาม มีข้อมูล 4 คอลัมน์ ประกอบด้วย context, question, answer และ status ตามลำดับ
แสดงตัวอย่างดังนี้
context : ด.ต.ประสิทธิ์ ชาหอมชื่นอายุ 55 ปี ผบ.หมู่งาน ป.ตชด. 2... | [] | [
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3185d6f6dfc1ddf52fcc4361fe040e42089079e1 | พี่ยอด และน้อง ๆ ในทีมบ้านมัณิชมา ร่วมกันสร้างชุดข้อมูล คำถาม - คำตอบ จากชุดข้อมูล LST-20
โดยใช้ POS และ NER เพื่อมาสร้างชุดประโยคคำถาม
ได้ข้อมูลคำถาม - ตอบ ทั้งหมดประมาณ 1,000 แถว
| SuperAI2-Machima/Yord_ThaiQA_LST20 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-25T06:31:36+00:00 | [] | [] | TAGS
#region-us
| พี่ยอด และน้อง ๆ ในทีมบ้านมัณิชมา ร่วมกันสร้างชุดข้อมูล คำถาม - คำตอบ จากชุดข้อมูล LST-20
โดยใช้ POS และ NER เพื่อมาสร้างชุดประโยคคำถาม
ได้ข้อมูลคำถาม - ตอบ ทั้งหมดประมาณ 1,000 แถว
| [] | [
"TAGS\n#region-us \n"
] | [
6
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ae9327c6e338e0dc74c821358d8f926ca99009e6 | #MASC
The dataset will be available soon. | TRoboto/masc | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-16T18:34:57+00:00 | [] | [] | TAGS
#region-us
| #MASC
The dataset will be available soon. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
8b370cd6d175cfdfaed3b978d6f583b3d0ebd801 |
## Dataset Summary
It includes list of Arabic names with meaning and origin of most names
| TRoboto/names | [
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"license": "cc-by-4.0", "project": "Maha"} | 2022-01-29T16:33:25+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## Dataset Summary
It includes list of Arabic names with meaning and origin of most names
| [
"## Dataset Summary\r\n\r\nIt includes list of Arabic names with meaning and origin of most names"
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e441169d5d9a7a666058f3b00f466bc824e2905f | # Overview
This dataset contains the data for the paper [Deep learning based question answering system in Bengali](https://www.tandfonline.com/doi/full/10.1080/24751839.2020.1833136). It is a translated version of [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) dataset to bengali language. Preprocessing detai... | Tahsin-Mayeesha/Bengali-SQuAD | [
"task_categories:question-answering",
"multilinguality:monolingual",
"language:bn",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["bn"], "multilinguality": ["monolingual"], "task_categories": ["question-answering"]} | 2022-10-25T08:06:50+00:00 | [] | [
"bn"
] | TAGS
#task_categories-question-answering #multilinguality-monolingual #language-Bengali #region-us
| # Overview
This dataset contains the data for the paper Deep learning based question answering system in Bengali. It is a translated version of SQuAD 2.0 dataset to bengali language. Preprocessing details can be found in the paper. | [
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a66a66ee3a858c2b59e056b3fb7dfaf501fc5425 |
# Dataset with sentiment of Russian text
Contains aggregated dataset of Russian texts from 6 datasets.
## Labels meaning
0: NEUTRAL
1: POSITIVE
2: NEGATIVE
## Datasets
**[Sentiment Analysis in Russian](https://www.kaggle.com/c/sentiment-analysis-in-russian/data)**
> Sentiments (positive, negative or ne... | MonoHime/ru_sentiment_dataset | [
"language:ru",
"sentiment",
"text-classification",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["ru"], "tags": ["sentiment", "text-classification"]} | 2021-05-19T23:57:22+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #sentiment #text-classification #region-us
|
# Dataset with sentiment of Russian text
Contains aggregated dataset of Russian texts from 6 datasets.
## Labels meaning
0: NEUTRAL
1: POSITIVE
2: NEGATIVE
## Datasets
Sentiment Analysis in Russian
> Sentiments (positive, negative or neutral) of news in russian language from Kaggle competition.
Russia... | [
"# Dataset with sentiment of Russian text\nContains aggregated dataset of Russian texts from 6 datasets.",
"## Labels meaning\n 0: NEUTRAL\n 1: POSITIVE\n 2: NEGATIVE",
"## Datasets\n\nSentiment Analysis in Russian\n\n> Sentiments (positive, negative or neutral) of news in russian language from Kaggle ... | [
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"# Dataset with sentiment of Russian text\nContains aggregated dataset of Russian texts from 6 datasets.",
"## Labels meaning\n 0: NEUTRAL\n 1: POSITIVE\n 2: NEGATIVE",
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c5e97b6dd4236a9868df73d6ae176b4ae3efe78c | # JSFakes (Dr. Tristan Behrens).
This is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:
[js-fakes.git](https://github.com/omarperacha/js-fakes.git)
The representation is four tracks with four bars per track.
## Purpose.
This dataset is a good starting point for ... | TristanBehrens/js-fakes-4bars | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-03T15:53:23+00:00 | [] | [] | TAGS
#region-us
| # JSFakes (Dr. Tristan Behrens).
This is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:
URL
The representation is four tracks with four bars per track.
## Purpose.
This dataset is a good starting point for Music Generation. You could train GPT-2 on the samples t... | [
"# JSFakes (Dr. Tristan Behrens).\n\nThis is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:\nURL\n\nThe representation is four tracks with four bars per track.",
"## Purpose.\n\nThis dataset is a good starting point for Music Generation. You could train GPT-2 ... | [
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"# JSFakes (Dr. Tristan Behrens).\n\nThis is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:\nURL\n\nThe representation is four tracks with four bars per track.",
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b2c27fa4cdd3354d835aec7970814ffb08dab0a9 | # Dataset Card for register_oscar
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | TurkuNLP/register_oscar | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2023-09-25T10:30:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for register_oscar
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
### Dataset Summary
The Register Oscar dataset is a multilingual dataset, containing languaegs from the Oscar dataset that have be... | [
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"### Dataset Summary\n\nThe Register Oscar dataset is a multilingual dataset, containing languaegs from the Oscar... | [
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"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields",
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e4428e399de70a21b8857464e76f0fe859cabe05 |
# Dataset Card for [Dataset Name]
## 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-st... | TurkuNLP/turku_paraphrase_corpus | [
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"source_d... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": [], "language": ["fi"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification", "sentence-similarity", "text2text-generation", "other... | 2022-07-01T14:25:27+00:00 | [] | [
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# Dataset Card for [Dataset Name]
## 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 Data
- Annotations
- P... | [
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0371e35968fd4adfa2d1f6bd5e009c6e2b842f81 | Transformation of AI.FB's Wikimatrix dataset. Combined rows containing translations of a single source sentence into one consolidated row, applying a score threshold of 1.03 to remove poor translations. | Tyler/wikimatrix_collapsed | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-13T18:54:24+00:00 | [] | [] | TAGS
#region-us
| Transformation of AI.FB's Wikimatrix dataset. Combined rows containing translations of a single source sentence into one consolidated row, applying a score threshold of 1.03 to remove poor translations. | [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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77547406a07141e688c3ec62fd1840f97b17adf9 | # AutoNLP Dataset for project: second
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dataset has... | VoidZeroe/autonlp-data-second | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["conditional-text-generation"]} | 2021-11-20T06:51:45+00:00 | [] | [] | TAGS
#region-us
| AutoNLP Dataset for project: second
===================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNLP for pr... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
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"### Dataset Splits\n\n\nThis d... | [
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"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
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27
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"passage: TAGS\n#region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\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... |
76133a5c0f1d27bfb8521dad6783490cd157e730 | # IndoParaCrawl
IndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.
Thanks HuggingFace for providing free storage for datasets <3.
| Wikidepia/IndoParaCrawl | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-13T09:22:22+00:00 | [] | [] | TAGS
#region-us
| # IndoParaCrawl
IndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.
Thanks HuggingFace for providing free storage for datasets <3.
| [
"# IndoParaCrawl\n\nIndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.\n\nThanks HuggingFace for providing free storage for datasets <3."
] | [
"TAGS\n#region-us \n",
"# IndoParaCrawl\n\nIndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.\n\nThanks HuggingFace for providing free storage for datasets <3."
] | [
6,
49
] | [
"passage: TAGS\n#region-us \n# IndoParaCrawl\n\nIndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.\n\nThanks HuggingFace for providing free storage for datasets <3."
] |
290dc889066d7127077a2bec7f0be726fdeaa760 |
### KR3: Korean Restaurant Reviews with Ratings
Korean sentiment classification dataset
- Size: 460K(+180K)
- Language: Korean-centric
### ⚠️ Caution with `Rating` Column
0 stands for negative review, 1 stands for positive review, and 2 stands for ambiguous review.
**Note that rating 2 is not intended to be use... | leey4n/KR3 | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:100K<n<1m",
"language:ko",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["ko"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1m"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "KR3"} | 2023-07-19T07:35:54+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-100K<n<1m #language-Korean #license-cc-by-nc-sa-4.0 #region-us
|
### KR3: Korean Restaurant Reviews with Ratings
Korean sentiment classification dataset
- Size: 460K(+180K)
- Language: Korean-centric
### ️ Caution with 'Rating' Column
0 stands for negative review, 1 stands for positive review, and 2 stands for ambiguous review.
Note that rating 2 is not intended to be used d... | [
"### KR3: Korean Restaurant Reviews with Ratings\nKorean sentiment classification dataset \n\n- Size: 460K(+180K)\n- Language: Korean-centric",
"### ️ Caution with 'Rating' Column\n0 stands for negative review, 1 stands for positive review, and 2 stands for ambiguous review. \nNote that rating 2 is not intende... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-100K<n<1m #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n",
"### KR3: Korean Restaurant Reviews with Ratings\nKorean sentiment classification dataset \n\n- Size: 460K(+180K)\n- La... | [
66,
35,
93,
43,
4,
10,
116,
60
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-100K<n<1m #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n### KR3: Korean Restaurant Reviews with Ratings\nKorean sentiment classification dataset \n\n- Size: 460K(+180K)\n-... |
cdd31747121aded91fb44cce3b7ed23fd42bbe93 | # Archive Of Our Own Original Works (AO4W)
**Warning! Many/most of these files may be NSFW!**
Approximately 2GB of text files from Archive of Our Own; specifically, files labeled "original work" or some variation. For training fiction models. I recommend that you clean the text as needed for your purposes. | WyrdCurt/AO4W | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-26T11:03:27+00:00 | [] | [] | TAGS
#region-us
| # Archive Of Our Own Original Works (AO4W)
Warning! Many/most of these files may be NSFW!
Approximately 2GB of text files from Archive of Our Own; specifically, files labeled "original work" or some variation. For training fiction models. I recommend that you clean the text as needed for your purposes. | [
"# Archive Of Our Own Original Works (AO4W)\n\nWarning! Many/most of these files may be NSFW!\n\nApproximately 2GB of text files from Archive of Our Own; specifically, files labeled \"original work\" or some variation. For training fiction models. I recommend that you clean the text as needed for your purposes."
] | [
"TAGS\n#region-us \n",
"# Archive Of Our Own Original Works (AO4W)\n\nWarning! Many/most of these files may be NSFW!\n\nApproximately 2GB of text files from Archive of Our Own; specifically, files labeled \"original work\" or some variation. For training fiction models. I recommend that you clean the text as need... | [
6,
77
] | [
"passage: TAGS\n#region-us \n# Archive Of Our Own Original Works (AO4W)\n\nWarning! Many/most of these files may be NSFW!\n\nApproximately 2GB of text files from Archive of Our Own; specifically, files labeled \"original work\" or some variation. For training fiction models. I recommend that you clean the text as n... |
dbf39a35fef11582622433b7f031c876c6b29d6f | My new dataset | XiangXiang/clt | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-28T01:08:29+00:00 | [] | [] | TAGS
#region-us
| My new dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
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