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Webis-ConcluGen-21
- webis.de
4818133Updated 2021
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EmailClick to copy linkLink copiedCiteShahbaz Syed; Milad Alshomary; Henning Wachsmuth; Martin Potthast (2021). Webis-ConcluGen-21 [Dataset]. http://doi.org/10.5281/zenodo.48181334818133Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.4818133Dataset updated2021Dataset provided byNEC Laboratories Europe
Leibniz Universität Hannover
University of Groningen
University of Kassel, hessian.AI, and ScaDS.AI
The Web Technology & Information Systems NetworkAuthorsShahbaz Syed; Milad Alshomary; Henning Wachsmuth; Martin PotthastLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe corpus contains 136,996 (argumentative text, conclusion) pairs for the task of informative conclusion generation. For each argument in the corpus, argumentative knowledge such as discussion topic, conclusion targets and argument aspects are provided.
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Webis-ConcluGen-21
- opendatalab.com
zipUpdated May 27, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCitePaderborn University (2021). Webis-ConcluGen-21 [Dataset]. https://opendatalab.com/OpenDataLab/Webis-ConcluGen-21zip(632978524 bytes)Available download formatsDataset updatedMay 27, 2021Dataset provided byPaderborn University
University of LeipzigLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe corpus contains 136,996 (argumentative text, conclusion) pairs. There are four variations of this corpus: base: (argumentative text, conclusion) pairs topic: (topic encoded argumentative text, conclusion) pairs targets: (topic and target encoded argumentative text, conclusion) pairs aspects: (topic and aspect encoded argumentative text, conclusion) pairs Each variation is split into train, val, and test files. Additionally, the test set used for automatic evaluation is provided (automatic_evaluation.csv) which must be used for any quantitative evaluation.
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FacebookTwitterEmailLeibniz Universität Hannover
University of Groningen
University of Kassel, hessian.AI, and ScaDS.AI
The Web Technology & Information Systems Network
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The corpus contains 136,996 (argumentative text, conclusion) pairs for the task of informative conclusion generation. For each argument in the corpus, argumentative knowledge such as discussion topic, conclusion targets and argument aspects are provided.