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sofia-uni
/

toxic-onto-bg

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Text Classification

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melaniab commited on Oct 18

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-![image/png](https://cdn-uploads.huggingface.co/production/uploads/640721cd5e6d06cc2cf35deb/GQ8hD2_u4_Xv3eCDspzWO.png)
 ### Warning: This dataset contains content that includes toxic, offensive, or otherwise inappropriate language.
 The toxic-onto-bg dataset consists of 299 Bulgarian manually annotated words from the [Flores Toxicity 200 dataset](https://github.com/facebookresearch/flores/tree/main/toxicity) across four categories: toxic language, medical terminology, non-toxic language, and terms related to minority communities,
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 The ontology is aimed for language and media researches and developers of toxic language filtering systems.
-More information in the paper (coming soon).

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 ### Warning: This dataset contains content that includes toxic, offensive, or otherwise inappropriate language.
 The toxic-onto-bg dataset consists of 299 Bulgarian manually annotated words from the [Flores Toxicity 200 dataset](https://github.com/facebookresearch/flores/tree/main/toxicity) across four categories: toxic language, medical terminology, non-toxic language, and terms related to minority communities,
 The ontology is aimed for language and media researches and developers of toxic language filtering systems.
+More information in the paper (coming soon).
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/640721cd5e6d06cc2cf35deb/GQ8hD2_u4_Xv3eCDspzWO.png)