Global Mental Health & Lifestyle Survey Dataset

This dataset is a large-scale synthetic mental health survey dataset designed for machine learning, data analysis, and research purposes. It captures how demographics, work conditions, lifestyle habits, social support, and psychological symptoms jointly relate to mental health outcomes.

The dataset contains 10,000 records with 50+ features and a binary target label indicating the presence of a mental health issue.