Omkar2118/datasets huggingface dataset:
VietMed
Full name: VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain

We introduced a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech. To our best knowledge, VietMed is by far **the world’s largest public medical speech recognition dataset** in 7 aspects: total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents. VietMed is also by far the largest public Vietnamese speech dataset in terms of total duration. Additionally, we are the first to present a medical ASR dataset covering all ICD-10 disease groups and all accents within a country.

Introducing paper: VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain