BIOS-CN and DiseaseKG medical datasets

DiseasyKG is derived from the common disease information knowledge graph based on cnSchema published by OpenKG, mainly covering medical entity types such as diseases, drugs, food, examination items, departments, drugs on sale, symptoms, and treatment methods. It organizes common disease knowledge through relationships such as disease symptoms, disease examinations, disease drugs, and disease treatments. This dataset is relatively small in size, containing approximately 44656 entities and 312159 relationships, making it more suitable for testing the stability of the model in Chinese medical scenarios, low-frequency disease problems, and small-scale knowledge graph environments.

The two types of datasets complement each other in terms of scale, language features, and knowledge coverage: BIOS focuses on organizing large-scale biomedical concepts and relationships, while DiseasyKG focuses on knowledge structures of common Chinese diseases. Therefore, the two together form the experimental basis for the retrieval performance, path compression, evidence tracing, and cross dataset stability verification in this article