dc.contributor.author | Schiller, Benjamin | |
dc.contributor.author | Daxenberger, Johannes | |
dc.contributor.author | Waldis, Andreas | |
dc.contributor.author | Gurevych, Iryna | |
dc.date.accessioned | 2024-10-01T15:03:45Z | |
dc.date.available | 2024-10-01T15:03:45Z | |
dc.date.issued | 2024-09 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4353 | |
dc.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). | de_DE |
dc.language.iso | en | de_DE |
dc.rights | Creative Commons Attribution-NonCommercial 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Supporting Topic | de_DE |
dc.subject | Attacking Topic | de_DE |
dc.subject.classification | 4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren | de_DE |
dc.subject.classification | 4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing | |
dc.subject.ddc | 004 | |
dc.title | Few-Shot-150T (FS150T) Corpus | de_DE |
dc.type | Dataset | de_DE |
tud.unit | TUDa | |
tud.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |