dc.contributor.author | Waldis, Andreas | |
dc.contributor.author | Lauscher, Anne | |
dc.contributor.author | Gurevych, Iryna | |
dc.date.accessioned | 2024-09-23T19:40:06Z | |
dc.date.available | 2024-09-23T19:40:06Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4350 | |
dc.description | The Lou dataset provides gender-fair reformulations for instances from seven German classification tasks. It is intended for non-commercial use, and research is licensed under the CC BY-NC 4.0 license. The copyright of the original text remains at the original datasets. By downloading it, you confirm that the authors of the DeTox dataset gave you access. | de_DE |
dc.language.iso | de | de_DE |
dc.rights | Creative Commons Attribution-NonCommercial 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Gender-Fair Language | 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 | The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification | 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 | |