|
|
--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: uk |
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path: data/uk-* |
|
|
- split: hi |
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path: data/hi-* |
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|
- split: zh |
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path: data/zh-* |
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|
- split: ar |
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path: data/ar-* |
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|
- split: de |
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path: data/de-* |
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|
- split: en |
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path: data/en-* |
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|
- split: ru |
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path: data/ru-* |
|
|
- split: am |
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path: data/am-* |
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|
- split: es |
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path: data/es-* |
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|
- split: it |
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|
path: data/it-* |
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|
- split: fr |
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|
path: data/fr-* |
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|
- split: he |
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|
path: data/he-* |
|
|
- split: hin |
|
|
path: data/hin-* |
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|
- split: tt |
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path: data/tt-* |
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- split: ja |
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|
path: data/ja-* |
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dataset_info: |
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features: |
|
|
- name: text |
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|
dtype: string |
|
|
splits: |
|
|
- name: uk |
|
|
num_bytes: 64010 |
|
|
num_examples: 600 |
|
|
- name: hi |
|
|
num_bytes: 84742 |
|
|
num_examples: 600 |
|
|
- name: zh |
|
|
num_bytes: 51159 |
|
|
num_examples: 600 |
|
|
- name: ar |
|
|
num_bytes: 67319 |
|
|
num_examples: 600 |
|
|
- name: de |
|
|
num_bytes: 68242 |
|
|
num_examples: 600 |
|
|
- name: en |
|
|
num_bytes: 37872 |
|
|
num_examples: 600 |
|
|
- name: ru |
|
|
num_bytes: 73326 |
|
|
num_examples: 600 |
|
|
- name: am |
|
|
num_bytes: 110756 |
|
|
num_examples: 600 |
|
|
- name: es |
|
|
num_bytes: 40172 |
|
|
num_examples: 600 |
|
|
- name: it |
|
|
num_bytes: 60915 |
|
|
num_examples: 600 |
|
|
- name: fr |
|
|
num_bytes: 56925 |
|
|
num_examples: 600 |
|
|
- name: he |
|
|
num_bytes: 73387 |
|
|
num_examples: 600 |
|
|
- name: hin |
|
|
num_bytes: 43652 |
|
|
num_examples: 600 |
|
|
- name: tt |
|
|
num_bytes: 69603 |
|
|
num_examples: 600 |
|
|
- name: ja |
|
|
num_bytes: 68980 |
|
|
num_examples: 600 |
|
|
download_size: 620757 |
|
|
dataset_size: 971060 |
|
|
--- |
|
|
|
|
|
**Multilingual Text Detoxification with Parallel Data (Test)** |
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|
|
**[May, 2025]** The full [TextDetox2025](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) test set is now available! |
|
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|
|
|
**[2025]** For the second edition of [TextDetox2025 shared](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) task, we extend to more languages: Italian, French, Hebrew, Hinglish, Japanese, and Tatar! |
|
|
|
|
|
**[2024]** This is the multilingual parallel dataset for text detoxification prepared for [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task. |
|
|
For each of 9 languages, we collected 1k pairs of toxic<->detoxified instances splitted into two parts: dev (400 pairs) and test (600 pairs). |
|
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|
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|
|
### !! This is a **test** part of Multilingual Paradetox. For the **train** part please refer to [textdetox/multilingual_paradetox](https://huggingface.co/datasets/textdetox/multilingual_paradetox) |
|
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|
The list of the sources for the original toxic sentences: |
|
|
* English: [Jigsaw](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge), [Unitary AI Toxicity Dataset](https://github.com/unitaryai/detoxify) |
|
|
* Russian: [Russian Language Toxic Comments](https://www.kaggle.com/datasets/blackmoon/russian-language-toxic-comments), [Toxic Russian Comments](https://www.kaggle.com/datasets/alexandersemiletov/toxic-russian-comments) |
|
|
* Ukrainian: [Ukrainian Twitter texts](https://github.com/saganoren/ukr-twi-corpus) |
|
|
* Spanish: [Detecting and Monitoring Hate Speech in Twitter](https://www.mdpi.com/1424-8220/19/21/4654), [Detoxis](https://rdcu.be/dwhxH), [RoBERTuito: a pre-trained language model for social media text in Spanish](https://aclanthology.org/2022.lrec-1.785/) |
|
|
* German: [GemEval 2018, 2021](https://aclanthology.org/2021.germeval-1.1/) |
|
|
* Amhairc: [Amharic Hate Speech](https://github.com/uhh-lt/AmharicHateSpeech) |
|
|
* Arabic: [OSACT4](https://edinburghnlp.inf.ed.ac.uk/workshops/OSACT4/) |
|
|
* Hindi: [Hostility Detection Dataset in Hindi](https://competitions.codalab.org/competitions/26654#learn_the_details-dataset), [Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages](https://dl.acm.org/doi/pdf/10.1145/3368567.3368584?download=true) |
|
|
* Italian: [AMI](https://github.com/dnozza/ami2020), [HODI](https://github.com/HODI-EVALITA/HODI_2023), [Jigsaw Multilingual Toxic Comment](https://www.kaggle.com/competitions/jigsaw-multilingual-toxic-comment-classification/overview) |
|
|
* French: [FrenchToxicityPrompts](https://europe.naverlabs.com/research/publications/frenchtoxicityprompts-a-large-benchmark-for-evaluating-and-mitigating-toxicity-in-french-texts/), [Jigsaw Multilingual Toxic Comment](https://www.kaggle.com/competitions/jigsaw-multilingual-toxic-comment-classification/overview) |
|
|
* Hebrew: [Hebrew Offensive Language Dataset](https://github.com/NataliaVanetik/HebrewOffensiveLanguageDatasetForTheDetoxificationProject/tree/main) |
|
|
* Hinglish: [Hinglish Hate Detection](https://github.com/victor7246/Hinglish_Hate_Detection/blob/main/data/raw/trac1-dataset/hindi/agr_hi_dev.csv) |
|
|
* Japanese: posts from [2chan](https://huggingface.co/datasets/p1atdev/open2ch) |
|
|
* Tatar: ours. |
|
|
|
|
|
## Citation |
|
|
If you would like to acknowledge our work, please, cite the following manuscripts: |
|
|
|
|
|
``` |
|
|
@inproceedings{dementieva2025overview, |
|
|
title={Overview of the Multilingual Text Detoxification Task at PAN 2025}, |
|
|
author={Dementieva, Daryna and |
|
|
Protasov, Vitaly and |
|
|
Babakov, Nikolay and |
|
|
Rizwan, Naquee and |
|
|
Alimova, Ilseyar and |
|
|
Brune, Caroline and |
|
|
Konovalov, Vasily and |
|
|
Muti, Arianna and |
|
|
Liebeskind, Chaya and |
|
|
Litvak, Marina and |
|
|
Nozza, Debora, and |
|
|
Shah Khan, Shehryaar and |
|
|
Takeshita, Sotaro and |
|
|
Vanetik, Natalia and |
|
|
Ayele, Abinew Ali and |
|
|
Schneider, Frolian and |
|
|
Wang, Xintog and |
|
|
Yimam, Seid Muhie and |
|
|
Elnagar, Ashraf and |
|
|
Mukherjee, Animesh and |
|
|
Panchenko, Alexander}, |
|
|
booktitle={Working Notes of CLEF 2025 -- Conference and Labs of the Evaluation Forum}, |
|
|
editor={Guglielmo Faggioli and Nicola Ferro and Paolo Rosso and Damiano Spina}, |
|
|
month = sep, |
|
|
publisher = {CEUR-WS.org}, |
|
|
series = {CEUR Workshop Proceedings}, |
|
|
site = {Vienna, Austria}, |
|
|
url = {https://ceur-ws.org/Vol-4038/paper_278.pdf}, |
|
|
year = 2025 |
|
|
} |
|
|
``` |
|
|
|
|
|
``` |
|
|
@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} |
|
|
} |
|
|
``` |
