Uzbek Medical Entity Benchmark

This dataset introduces UzMedNER, a structured Named Entity Recognition (NER) resource for the Uzbek language in the medical domain. It is designed to support token-level sequence labeling tasks and facilitate research in low-resource biomedical NLP.

The dataset consists of manually annotated Uzbek text where each token is labeled using a predefined tagset representing medical and related entity types.

UzMedNER addresses the lack of:

domain-specific annotated corpora in Uzbek
standardized NER benchmarks for medical text
resources for training sequence labeling models in low-resource settings