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tldr-17
- huggingface.co
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EmailClick to copy linkLink copiedCiteWebis Group, tldr-17 [Dataset]. https://huggingface.co/datasets/webis/tldr-17CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset authored and provided byWebis GroupLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis corpus contains preprocessed posts from the Reddit dataset. The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary.
Features includes strings: author, body, normalizedBody, content, summary, subreddit, subreddit_id. Content is used as document and summary is used as summary.
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Webis-TLDR-17
- webis.de
1043504Updated 2017ShareFacebookTwitterEmailClick to copy linkLink copiedCiteShahbaz Syed; Michael Völske; Martin Potthast; Benno Stein (2017). Webis-TLDR-17 [Dataset]. http://doi.org/10.5281/zenodo.10435041043504Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.1043504Dataset updated2017Dataset provided byBauhaus-Universität Weimar
The Web Technology & Information Systems Network
NEC Laboratories Europe
University of Kassel, hessian.AI, and ScaDS.AI
Artefact Germany, Bauhaus-Universität WeimarAuthorsShahbaz Syed; Michael Völske; Martin Potthast; Benno SteinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe 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.
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webis/tldr-17
Reddit Webis-TLDR-17
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This corpus contains preprocessed posts from the Reddit dataset. The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary.
Features includes strings: author, body, normalizedBody, content, summary, subreddit, subreddit_id. Content is used as document and summary is used as summary.