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Few-Shot-150T (FS150T) Corpus

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Few-Shot-150T-Corpus-(FS150T-Corpus)-v1.1.zip (1.73 MB)

Date

2024-10-01

Type

Dataset

Authors

Schiller, Benjamin
Daxenberger, JohannesORCID 0000-0002-7385-5654
Waldis, AndreasORCID 0000-0002-2772-5701
Gurevych, Iryna

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

The Few-Shot-150T Corpus includes 21,600 sentences over 150 controversial topics. Each sentence was annotated via crowdsourcing as either a supporting argument, an attacking argument, or not an argument with respect to the topic. See the readme.md in the archive for a data format description. The annotations (not the annotated sentences) are released under the Creative Commons Attribution-NonCommercial licence (CC BY-NC).

Keywords

Supporting Topic, Attacking Topic

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4353

Endorsement

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

Project(s)

Faculty

Collections

Argument Mining

License

CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International
Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International