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README.md
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license: openrail++
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dataset_info:
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features:
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path: data/tt-*
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- split: ja
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path: data/ja-*
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---
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-
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The list of original sources:
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* English: [link](https://github.com/coffee-and-fun/google-profanity-words/blob/main/data/en.txt)
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* Arabic: ours
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* Hindi: [link](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md)
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* Chinese: [link](https://arxiv.org/abs/2108.03070)
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We also added toxic words from Toxicity-200 [corpus](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md) from Facebook Research for all the languages.
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## Citation
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If you would like to acknowledge our work, please, cite the following manuscripts:
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```
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@inproceedings{dementieva2024overview,
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title={Overview of the Multilingual Text Detoxification Task at PAN 2024},
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- am
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- hi
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- zh
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- it
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- fr
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- he
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- ja
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- tt
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license: openrail++
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dataset_info:
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features:
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path: data/tt-*
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- split: ja
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path: data/ja-*
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task_categories:
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- token-classification
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tags:
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- toxic
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size_categories:
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- 10K<n<100K
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---
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# Multilingual Toxic Lexicon
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**[2025]** The lexicon is extended to new languages! Now also included: Italian, French, Hebrew, Hindi, Japanese, Tatar. The list is used on [TextDetox 2025](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) shared task.
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**[2024]** The compilation for 9 languages (English, Russian, Ukrainian, Spanish, German, Amharic, Arabic, Chinese, Hindi) toxic words lists which is used for [TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task.
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The list of original sources:
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* English: [link](https://github.com/coffee-and-fun/google-profanity-words/blob/main/data/en.txt)
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* Arabic: ours
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* Hindi: [link](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md)
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* Chinese: [link](https://arxiv.org/abs/2108.03070)
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* Italian: [link1](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md), [link2](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words)
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* French: [link1](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words), [link2](https://fr.wiktionary.org/wiki/Cat%C3%A9gorie:Termes_vulgaires_en_fran%C3%A7ais), [link3](https://fr.wiktionary.org/wiki/Cat%C3%A9gorie:Insultes_en_fran%C3%A7ais)
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* Hebrew: [link](https://github.com/NataliaVanetik/HebrewOffensiveLanguageDatasetForTheDetoxificationProject)
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* Hinglish: [link](https://github.com/pmathur5k10/Hinglish-Offensive-Text-Classification/blob/main/Hinglish_Profanity_List.csv)
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* Japanese: [link](https://github.com/MosasoM/inappropriate-words-ja/tree/master)
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* Tatar: [link](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md) combined with translated keywords in Russian.
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We also added toxic words from Toxicity-200 [corpus](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md) from Facebook Research for all the languages.
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## Citation
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If you would like to acknowledge our work, please, cite the following manuscripts:
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**[2024]**
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```
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@inproceedings{dementieva2024overview,
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title={Overview of the Multilingual Text Detoxification Task at PAN 2024},
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