Sign inGet started
Dataset · Hugging Face

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-dat

Author / organizationcnupo23
License (as declared)apache-2.0
Downloads144 (as reported by Hugging Face)
Likes0
Created23 September 2026
Last updated at source23 September 2026
korean-medicinetraditional-medicineembeddingcontrastive-learningretrievalontologybge-m3hangeul-hanja
Embed this entry
<iframe src="https://silytics.si/embed/item/7fffdb8a-9061-4413-9f11-1d06092b588f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 7 days

144 now (+8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 22 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.