3 datasets found
  1. h

    args_me

    • huggingface.co
    Updated Feb 18, 2024
    + more versions
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    Webis Group (2024). args_me [Dataset]. https://huggingface.co/datasets/webis/args_me
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    Dataset updated
    Feb 18, 2024
    Dataset authored and provided by
    Webis Group
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The args.me corpus (version 1.0, cleaned) comprises 382 545 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal.

  2. args.me corpus

    • zenodo.org
    zip
    Updated Aug 29, 2022
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    Yamen Ajjour; Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Johannes Kiesel; Martin Potthast; Martin Potthast; Matthias Hagen; Matthias Hagen; Benno Stein; Benno Stein; Henning Wachsmuth (2022). args.me corpus [Dataset]. http://doi.org/10.5281/zenodo.3734893
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yamen Ajjour; Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Johannes Kiesel; Martin Potthast; Martin Potthast; Matthias Hagen; Matthias Hagen; Benno Stein; Benno Stein; Henning Wachsmuth
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The args.me corpus comprises 387 740 arguments. They are crawled from the debate portals Debatewise (14 353 arguments), IDebate.org (13 522 arguments), Debatepedia (21 197 arguments), and Debate.org (338 620 arguments). Moreover, the corpus contains 48 arguments from Canadian Parliament discussions. The arguments are extracted using heuristics that are designed for each debate portal.

    These arguments are the ones currently provided through the args.me search engine. Note that the args API does not return the sourceText (which is indexed by args.me an included in this dataset) due to its size.

    Cite args.me as Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49-59, September 2017. Association for Computational Linguistics.

    Cite this dataset as Yamen Ajjour, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. Data Acquisition for Argument Search: The args.me corpus. In 42nd German Conference on Artificial Intelligence (KI 2019), September 2019. Springer. and with the DOI of Zenodo.

    The development for args.me is hosted in our Gitlab.

    This collection is licensed with the Creative Commons Attribution 4.0 International. Individual rights to the content still apply.

  3. Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)

    • zenodo.org
    • webis.de
    csv
    Updated May 3, 2020
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    Lukas Gienapp; Lukas Gienapp; Benno Stein; Benno Stein; Matthias Hagen; Matthias Hagen; Martin Potthast; Martin Potthast (2020). Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) [Dataset]. http://doi.org/10.5281/zenodo.3780049
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    csvAvailable download formats
    Dataset updated
    May 3, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Lukas Gienapp; Lukas Gienapp; Benno Stein; Benno Stein; Matthias Hagen; Matthias Hagen; Martin Potthast; Martin Potthast
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) contains 1271 arguments spanning 20 topics with scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are inferred from a total of 42k pairwise judgments. Arguments are sourced from the args.me corpus.

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Share
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Webis Group (2024). args_me [Dataset]. https://huggingface.co/datasets/webis/args_me

args_me

webis/args_me

Webis args.me argument corpus

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 18, 2024
Dataset authored and provided by
Webis Group
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The args.me corpus (version 1.0, cleaned) comprises 382 545 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal.

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