The data is about the facts and myths related to child development. It comprises textual information from social media, such as blogs. The textual statements are categorized as either "fact" or "myth." The dataset also includes various engineered features derived from these statements to facilitate text analysis and machine learning tasks. These features are designed to capture different linguistic, semantic, and complexity aspects of the text, making it easier to develop models for distinguishing between factual and myth content. Some use cases include: Phishing Detection, Social Engineering Attack Detection, Fake News and Misinformation Monitoring, and Automated Content Moderation in Cybersecurity Platforms.