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The BMD‑HS dataset is a breakthrough collection of heart sound recordings carefully curated to enhance automated cardiovascular disease (CVD) diagnosis. It contains over 800 recordings divided into six categories, including common valve diseases: Aortic Stenosis (AS), Aortic Regurgitation (AR), Mitral Regurgitation (MR), Multi‑Disease (MD), Mitral Stenosis (MS), and healthy (Normal) samples.

The dataset contains 5,376 annotated images covering seven categories of urinary sediment particles: cast, cryst (crystals), epith (epithelial cells), epithn (epithelial nuclei), eryth (erythrocytes), leuko (leukocytes), mycete.