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  - am
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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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- 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](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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  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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+
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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},