The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural inference, named entity recognition) on a number of novel text sets. Given sensitive nature data in healthcare, such partially closes problem dataset absence. We prepare unified format labeling, split, and evaluation metrics for new tasks. remain...