README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: uk
        path: data/uk-*
      - split: hi
        path: data/hi-*
      - split: zh
        path: data/zh-*
      - split: ar
        path: data/ar-*
      - split: de
        path: data/de-*
      - split: en
        path: data/en-*
      - split: ru
        path: data/ru-*
      - split: am
        path: data/am-*
      - split: es
        path: data/es-*
      - 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-*
dataset_info:
  features:
    - name: text
      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)

[May, 2025] The full TextDetox2025 test set is now available!

[2025] For the second edition of TextDetox2025 shared 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 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).

!! This is a test part of Multilingual Paradetox. For the train part please refer to textdetox/multilingual_paradetox

The list of the sources for the original toxic sentences:

• English: Jigsaw, Unitary AI Toxicity Dataset
• Russian: Russian Language Toxic Comments, Toxic Russian Comments
• Ukrainian: Ukrainian Twitter texts
• Spanish: Detecting and Monitoring Hate Speech in Twitter, Detoxis, RoBERTuito: a pre-trained language model for social media text in Spanish
• German: GemEval 2018, 2021
• Amhairc: Amharic Hate Speech
• Arabic: OSACT4
• Hindi: Hostility Detection Dataset in Hindi, Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
• Italian: AMI, HODI, Jigsaw Multilingual Toxic Comment
• French: FrenchToxicityPrompts, Jigsaw Multilingual Toxic Comment
• Hebrew: Hebrew Offensive Language Dataset
• Hinglish: Hinglish Hate Detection
• Japanese: posts from 2chan
• 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}
}