2 datasets found
  1. W

    Webis-Voice-based-and-Conversational-Argument-Search-20

    • anthology.aicmu.ac.cn
    • webis.de
    • +1more
    3490947
    Updated 2020
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    Johannes Kiesel; Kevin Lang; Henning Wachsmuth; Eva Hornecker; Benno Stein (2020). Webis-Voice-based-and-Conversational-Argument-Search-20 [Dataset]. http://doi.org/10.5281/zenodo.3490947
    Explore at:
    3490947Available download formats
    Dataset updated
    2020
    Dataset provided by
    Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    Paderborn University
    Authors
    Johannes Kiesel; Kevin Lang; Henning Wachsmuth; Eva Hornecker; Benno Stein
    License

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

    Description

    Interface, questionnaires, and collected data for the paper "Investigating Expectations for Voice-based and Conversational Argument Search on the Web".

  2. E

    Webis ChangeMyView Corpus 2020 (Webis-CMV-20)

    • live.european-language-grid.eu
    json
    Updated Mar 23, 2022
    + more versions
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    (2022). Webis ChangeMyView Corpus 2020 (Webis-CMV-20) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7596
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 23, 2022
    License

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

    Description

    The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit in 2005, until September 2017. From these, we have derived two sub-datasets for the tasks of persuasiveness prediction, and opinion malleability prediction. In addition, the corpus comprises historical posts by CMV authors, and derived personal characteristics.Dataset specificationAll files are in bzip2-compressed JSON Lines format.

    threads.jsonl: contains all the selected discussion threads from CMVpairs.jsonl: each record contains submission, delta-comment and nondelta-comment and the comments' similarity scoreposts-malleability.jsonl: contains posts for opinion mallebility prediction, in the format provided in the original Reddit Crawl datasetauthor_entity_category.jsonl: each record contains the author and list of Wikipedia entities mentioned by the author in the messages across all subreddits. For each mentioned entity we provide the following data:

    [title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name]

    author_liwc.jsonl: personality traits features computed with LIWC for the authors from pairs.jsonl and post_malleability.jsonl datasetsauthor_subreddit.jsonl: for each author statistics of all number of all posts (submissions/comments) across all subreddits are providedauthor_subreddit_category.jsonl: similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to snoopsnoo.com

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Johannes Kiesel; Kevin Lang; Henning Wachsmuth; Eva Hornecker; Benno Stein (2020). Webis-Voice-based-and-Conversational-Argument-Search-20 [Dataset]. http://doi.org/10.5281/zenodo.3490947

Webis-Voice-based-and-Conversational-Argument-Search-20

Explore at:
3490947Available download formats
Dataset updated
2020
Dataset provided by
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Paderborn University
Authors
Johannes Kiesel; Kevin Lang; Henning Wachsmuth; Eva Hornecker; Benno Stein
License

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

Description

Interface, questionnaires, and collected data for the paper "Investigating Expectations for Voice-based and Conversational Argument Search on the Web".

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