Dataset for User Sensitive Data on Social Media

This dataset comprises textual records collected from social media platforms, curated to support both academic researchers and industry practitioners in advancing privacy-aware natural language processing. Each record is annotated to indicate whether it constitutes a breach of user privacy or not. The dataset is designed to facilitate the development, training, and evaluation of machine learning models for privacy violation detection, enabling applications in areas such as content moderation, compliance monitoring, and online safety. By providing high-quality labeled data, this resource contributes to building safer AI systems that respect user confidentiality and protect sensitive information in digital interactions.