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Dataset · Mendeley Data · March 20, 2026

Uzbek Medical Entity Benchmark (UZ-EDBench)

Botir Elov, Ruhillo Alaev, Xusainova Zilola Yuldashevna

Botir Elov
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Abstract

UZ-EDBench is a structured Uzbek-language dataset designed for medical entity recognition and classification in a low-resource setting. The dataset is distributed in TSV format and consists of annotated tokens and domain-specific entity labels. It includes: a main annotated corpus (UZ-EDBench.tsv) a structured list of medical specialists (UZ-EDBench.Doctors.tsv) This dataset addresses the lack of: Uzbek medical NLP benchmarks annotated corpora for clinical entity extraction structured taxonomies of medical specialists

Biomedical Text Mining and OntologiesTopic ModelingNatural Language Processing Techniquesmedical entity recognitionUzbek languagelow-resource languages

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