cnupo23/korean-medicine-embedding-dataset

Korean Medicine Embedding Dataset (한의학 임베딩 데이터셋) A contrastive-learning dataset for training and evaluating domain-adapted text embedding models for Korean Medicine (KM, 한의학). Each example is a query–positive–negatives triplet built from KM terminology resources and a curated KM ontology, capturing semantic relations such as disease–symptom, disease–prescription, prescription–indication, prescription–herb, and herb–indication. This dataset accompanies the study "A Domain-Adapted… See the full description on the dataset page: https://huggingface.co/datasets/cnupo23/korean-medicine-embedding-dataset.