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4 datasets found
  1. W

    Webis-TLDR-17

    • webis.de
    1043504
    Updated 2017
  2. h

    tldr-17

    • huggingface.co
    Updated Jun 12, 2020
  3. P

    Webis-TLDR-17 Corpus Dataset

    • paperswithcode.com
    • explore.openaire.eu
    • +1more
    Updated Aug 31, 2017
  4. O

    tldr-17

    • opendatalab.com
    zip
    Updated Dec 16, 2023
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Cite
Martin Potthast; Benno Stein (2017). Webis-TLDR-17 [Dataset]. http://doi.org/10.5281/zenodo.1043504

Webis-TLDR-17

Explore at:
39 scholarly articles cite this dataset (View in Google Scholar)
1043504Available download formats
Dataset updated
2017
Dataset provided by
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Leipzig University
Authors
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.

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