Ko-ToxicWebQ is a dataset consisting of 47,714 real-world Korean web search queries annotated for harmfulness and obfuscation strategies. The queries are extracted from Microsoft Bing search logs and labeled according to culturally specific toxicity categories and linguistic evasion tactics. The dataset is designed for evaluating moderation systems and training language models to handle adversarial or sensitive inputs in Korean.
