The paper introduces an automated RAG-based pipeline that generates and filters 7,555 Korean neutral-toxic sentence pairs, plus 539 English pairs, for training detoxification models.
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K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
The paper introduces an automated RAG-based pipeline that generates and filters 7,555 Korean neutral-toxic sentence pairs, plus 539 English pairs, for training detoxification models.