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2 results found
  1. Webis-TLDR-17

    • webis.de
    Published 2017
  2. Webis-TLDR-17 Corpus

    • zenodo.org
    • figshare.com
    • +1more
    Published Nov 7, 2017
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Webis-TLDR-17

6 scholarly articles cite this dataset (View in Google Scholar)
  • Dataset published 2017
Dataset provided by
Bauhaus University, Weimarhttp://www.uni-weimar.de/
The Web Technology & Information Systems Network
Authors
Michael Völske; Syed, Shahbaz; Stein, Benno; Potthast, Martin
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.

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