World's largest Profanity Dataset with categorized offensive, abusive, hateful, sexual, and toxic terms across multiple languages. Built for content moderation, NLP research, AI safety, and text classification. Featuring 82k rows of profanity across 715 languages and 459 countries.
New Dataset Alert 🚨 Largest illegal job titles - comments from an Instagram viral video. BibbyResearch/illegal-job-titles-comments Good for small LLM training and fine-tuning.
New Dataset Alert 🚨 Largest illegal job titles - comments from an Instagram viral video. BibbyResearch/illegal-job-titles-comments Good for small LLM training and fine-tuning.