The M3PD dataset presents a novel approach to photoplethysmography (PPG) by utilizing both front and rear smartphone cameras to capture dual-view signals. This method aims to improve cardiovascular monitoring by addressing common issues such as motion artifacts and lighting variations, which often hinder accurate measurements. By leveraging the dual-view capability, the dataset enhances the reliability and convenience of PPG, making it suitable for use in both laboratory and clinical environments. The approach is noninvasive and accessible, potentially broadening the availability of cardiovascular health monitoring through widely used smartphone technology. According to the evidence, this dual-view technique represents a promising advancement in the field, supporting its potential for practical application. The M3PD dataset thus contributes to ongoing efforts to improve remote and mobile health diagnostics by combining innovative data collection methods with everyday devices.