Saved datasets
arrow_drop_downLast updated
arrow_drop_downDownload format
Croissant
Croissant is a format for Machine Learning datasets
Learn more about this at mlcommons.org/croissant.
arrow_drop_downUsage rights
License from data provider
Please review the applicable license to make sure your contemplated use is permitted.
arrow_drop_downTopic
arrow_drop_downProvider
Free
Cost to access
Described as free to access or have a license that allows redistribution.
4 datasets found
- W
Webis-TLDR-17
- webis.de
1043504Updated 2017 - O
tldr-17
- opendatalab.com
zipUpdated Dec 16, 2023+ more versions Webis-TLDR-17 Corpus
- zenodo.org
- paperswithcode.com
- +1more
zipUpdated Jan 24, 2020- E
Webis-TLDR-17 Corpus
- live.european-language-grid.eu
jsonUpdated Dec 30, 2017 
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Share
Facebook
Twitter
EmailClick to copy link
Link copied
Cite
Shahbaz Syed; Michael Völske; Martin Potthast; Benno Stein (2017). Webis-TLDR-17 [Dataset]. http://doi.org/10.5281/zenodo.1043504
1043504Available download formats
Unique identifier
https://doi.org/10.5281/zenodo.1043504Dataset updated
2017Dataset provided by
Leipzig University Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Kassel University, hessian.AI, and ScaDS.AI
Authors
Shahbaz Syed; Michael Völske; Martin Potthast; Benno Stein License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
The Webis TLDR Corpus (2017) consists of approximately 4 Million content-summary pairs extracted for Abstractive Summarization, from the Reddit dataset for the years 2006-2016. This corpus is first of its kind from the social media domain in English and has been created to compensate the lack of variety in the datasets used for abstractive summarization research using deep learning models.