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@@ -16,7 +16,7 @@ language:
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  - tt
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  license: openrail++
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  size_categories:
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- - 1K<n<10K
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  task_categories:
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  - text-generation
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  dataset_info:
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  path: data/ar-*
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  - split: hi
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  path: data/hi-*
 
 
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  ---
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  **Multilingual Text Detoxification with Parallel Data**
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  [![COLING2025](https://img.shields.io/badge/COLING%202025-b31b1b)](https://aclanthology.org/2025.coling-main.535/)
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  [![CLEF2024](https://img.shields.io/badge/CLEF%202024-b31b1b)](https://ceur-ws.org/Vol-3740/paper-223.pdf)
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- This is the multilingual parallel dataset for the text detoxification task prepared for [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task.
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- 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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  📰 **Updates**
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  **[2022]** You can also check previously created training corpora: [English ParaDetox](https://huggingface.co/datasets/s-nlp/paradetox) from ACL 2022 and [Russian ParaDetox](https://huggingface.co/datasets/s-nlp/ru_paradetox).
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  ## Toxic Samples Sources
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  The list of the sources for the original toxic sentences:
@@ -212,4 +216,8 @@ If you would like to acknowledge our work, please, cite the following manuscript
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  biburl = {https://dblp.org/rec/conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24.bib},
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  bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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- ```
 
 
 
 
 
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  - tt
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  license: openrail++
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  size_categories:
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+ - 10K<n<100K
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  task_categories:
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  - text-generation
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  dataset_info:
 
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  path: data/ar-*
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  - split: hi
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  path: data/hi-*
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+ tags:
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+ - toxic
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  ---
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  **Multilingual Text Detoxification with Parallel Data**
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  [![COLING2025](https://img.shields.io/badge/COLING%202025-b31b1b)](https://aclanthology.org/2025.coling-main.535/)
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  [![CLEF2024](https://img.shields.io/badge/CLEF%202024-b31b1b)](https://ceur-ws.org/Vol-3740/paper-223.pdf)
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+ This is the multilingual parallel dataset for the text detoxification task. Prepared for TextDetox Shared Task.
 
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  📰 **Updates**
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  **[2022]** You can also check previously created training corpora: [English ParaDetox](https://huggingface.co/datasets/s-nlp/paradetox) from ACL 2022 and [Russian ParaDetox](https://huggingface.co/datasets/s-nlp/ru_paradetox).
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+ **[2022]** The first release for [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task.
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+ 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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  ## Toxic Samples Sources
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  The list of the sources for the original toxic sentences:
 
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  biburl = {https://dblp.org/rec/conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24.bib},
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  bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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+ ```
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+
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+ # Corresponding Contact
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+
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+ [Daryna Dementieva](https://huggingface.co/dardem)