Kangning Dataset of Clinical Interview for Depression

 createWe're excited to present a unique challenge aimed at advancing automated depression diagnosis. Traditional methods using written speech or self-reported measures often fall short in real-world scenarios. To address this, we've curated a dataset of authentic depression clinical interviews from a psychiatric hospital.The dataset includes 113 recordings (89 for training and 24 for testing), featuring interactions with 52 healthy individuals and 61 diagnosed with depression. Each participant underwent assessments using the Montgomery-Asberg Depression Rating Scale (MADRS) in Chinese, with diagnoses confirmed by psychiatry specialists.These interviews were meticulously audio-recorded, transcribed, and annotated by experienced physicians, ensuring data quality. Participants are tasked with developing machine learning models to detect depression presence and predict severity levels using audio and text features extracted from interviews.Join us in leveraging this groundbreaking dataset to revolutionize depression diagnosis and advance mental health care. Let's make a difference together!