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@@ -28,6 +28,14 @@ As a result, we get paraphrases for 11,939 toxic sentences (on average 1.66 par
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  In addition to all ParaDetox dataset, we also make public [samples](https://huggingface.co/datasets/s-nlp/en_non_detoxified) that were marked by annotators as "cannot rewrite" in *Task 1* of crowdsource pipeline.
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  # Detoxification evaluation
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  The automatic evaluation of the model were produced based on three parameters:
 
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  In addition to all ParaDetox dataset, we also make public [samples](https://huggingface.co/datasets/s-nlp/en_non_detoxified) that were marked by annotators as "cannot rewrite" in *Task 1* of crowdsource pipeline.
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+ **Update 2024: Multilinugal ParaDetox**
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+ We have also created versions of ParaDetox in more languages. You can checkout a [RuParaDetox](https://huggingface.co/datasets/s-nlp/ru_paradetox) dataset as well as a [Multilingual TextDetox](https://huggingface.co/textdetox) project that includes 9 languages.
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+ Corresponding papers:
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+ * [MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages](https://aclanthology.org/2024.naacl-short.12/) (NAACL 2024)
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+ * [Overview of the multilingual text detoxification task at pan 2024](https://ceur-ws.org/Vol-3740/paper-223.pdf) (CLEF Shared Task 2024)
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  # Detoxification evaluation
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  The automatic evaluation of the model were produced based on three parameters: