metadata
language:
- en
- ru
- uk
- es
- de
- ar
- am
- hi
- zh
license: openrail++
dataset_info:
features:
- name: text
dtype: string
splits:
- name: am
num_bytes: 3540
num_examples: 245
- name: es
num_bytes: 14683
num_examples: 1195
- name: ru
num_bytes: 4174135
num_examples: 140517
- name: uk
num_bytes: 153865
num_examples: 7356
- name: en
num_bytes: 39323
num_examples: 3386
- name: zh
num_bytes: 45303
num_examples: 3839
- name: ar
num_bytes: 6050
num_examples: 430
- name: hi
num_bytes: 2771
num_examples: 133
- name: de
num_bytes: 3036
num_examples: 247
- name: it
num_bytes: 10139
num_examples: 815
- name: fr
num_bytes: 21216
num_examples: 1287
- name: he
num_bytes: 11893
num_examples: 731
- name: hin
num_bytes: 2201
num_examples: 209
- name: tt
num_bytes: 414993
num_examples: 15629
- name: ja
num_bytes: 4822
num_examples: 328
download_size: 2254939
dataset_size: 4907970
configs:
- config_name: default
data_files:
- split: am
path: data/am-*
- split: es
path: data/es-*
- split: ru
path: data/ru-*
- split: uk
path: data/uk-*
- split: en
path: data/en-*
- split: zh
path: data/zh-*
- split: ar
path: data/ar-*
- split: hi
path: data/hi-*
- split: de
path: data/de-*
- split: it
path: data/it-*
- split: fr
path: data/fr-*
- split: he
path: data/he-*
- split: hin
path: data/hin-*
- split: tt
path: data/tt-*
- split: ja
path: data/ja-*
This is the compilation of 9 languages (English, Russian, Ukrainian, Spanish, German, Amharic, Arabic, Chinese, Hindi) toxic words lists which is used for CLEF TextDetox 2024 shared task.
The list of original sources:
- English: link
- Russian: link
- Ukrainian: link
- Spanish: link
- German: link
- Amhairc: ours
- Arabic: ours
- Hindi: link
- Chinese: link
We also added toxic words from Toxicity-200 corpus from Facebook Research for all the languages.
All credits go to the authors of the original toxic words lists.
Citation
If you would like to acknowledge our work, please, cite the following manuscripts:
@inproceedings{dementieva2024overview,
title={Overview of the Multilingual Text Detoxification Task at PAN 2024},
author={Dementieva, Daryna and Moskovskiy, Daniil and Babakov, Nikolay and Ayele, Abinew Ali and Rizwan, Naquee and Schneider, Frolian and Wang, Xintog and Yimam, Seid Muhie and Ustalov, Dmitry and Stakovskii, Elisei and Smirnova, Alisa and Elnagar, Ashraf and Mukherjee, Animesh and Panchenko, Alexander},
booktitle={Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum},
editor={Guglielmo Faggioli and Nicola Ferro and Petra Galu{\v{s}}{\v{c}}{\'a}kov{\'a} and Alba Garc{\'i}a Seco de Herrera},
year={2024},
organization={CEUR-WS.org}
}
@inproceedings{DBLP:conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24,
author = {Janek Bevendorff and
Xavier Bonet Casals and
Berta Chulvi and
Daryna Dementieva and
Ashaf Elnagar and
Dayne Freitag and
Maik Fr{\"{o}}be and
Damir Korencic and
Maximilian Mayerl and
Animesh Mukherjee and
Alexander Panchenko and
Martin Potthast and
Francisco Rangel and
Paolo Rosso and
Alisa Smirnova and
Efstathios Stamatatos and
Benno Stein and
Mariona Taul{\'{e}} and
Dmitry Ustalov and
Matti Wiegmann and
Eva Zangerle},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {Overview of {PAN} 2024: Multi-author Writing Style Analysis, Multilingual
Text Detoxification, Oppositional Thinking Analysis, and Generative
{AI} Authorship Verification - Extended Abstract},
booktitle = {Advances in Information Retrieval - 46th European Conference on Information
Retrieval, {ECIR} 2024, Glasgow, UK, March 24-28, 2024, Proceedings,
Part {VI}},
series = {Lecture Notes in Computer Science},
volume = {14613},
pages = {3--10},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56072-9\_1},
doi = {10.1007/978-3-031-56072-9\_1},
timestamp = {Fri, 29 Mar 2024 23:01:36 +0100},
biburl = {https://dblp.org/rec/conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}