All datasets / ukr-detect
ukr-detect/ukr-toxicity-dataset
The declared licence (openrail) is classified as having use restrictions.
- Declared licence
- openrail, from the tagEvidence: README.md at 7ce81ee
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 7ce81ee
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{dementieva-etal-2024-toxicity,
title = "Toxicity Classification in {U}krainian",
author = "Dementieva, Daryna and
Khylenko, Valeriia and
Babakov, Nikolay and
Groh, Georg",
editor = {Chung, Yi-Ling and
Talat, Zeerak and
Nozza, Debora and
Plaza-del-Arco, Flor Miriam and
R{\"o}ttger, Paul and
Mostafazadeh Davani, Aida and
Calabrese, Agostina},
booktitle = "Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.woah-1.19",
doi = "10.18653/v1/2024.woah-1.19",
pages = "244--255",
abstract = "The task of toxicity detection is still a relevant task, especially in the context of safe and fair LMs development. Nevertheless, labeled binary toxicity classification corpora are not available for all languages, which is understandable given the resource-intensive nature of the annotation process. Ukrainian, in particular, is among the languages lacking such resources. To our knowledge, there has been no existing toxicity classification corpus in Ukrainian. In this study, we aim to fill this gap by investigating cross-lingual knowledge transfer techniques and creating labeled corpora by: (i){\textasciitilde}translating from an English corpus, (ii){\textasciitilde}filtering toxic samples using keywor
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dataset_licence({ "id": "ukr-detect/ukr-toxicity-dataset" })
signal: "restrictive"
stated_licence: "openrail"
sources: 0