This dataset contains survey-based health data collected from 328 individuals, capturing a comprehensive set of demographic, lifestyle, clinical, and behavioral risk factors associated with heart disease. Each record represents one respondent and includes self-reported information on physical health indicators, daily habits, medical history, and a binary label indicating whether the individual is a heart patient. Sensitive or identifying information has been removed from the final released dataset to ensure privacy and prevent data leakage. The dataset can be used for binary CVD risk prediction, classification benchmarking, and explainable machine learning research. Keywords: Cardiovascular Risk Prediction, Survey-Based Dataset, Machine Learning, Demographic Features, Lifestyle Factors, Clinical Data