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VNMed Speech

A Vietnamese medical speech dataset with human-reviewed transcripts, derived from doof-ferb/VietMed_unlabeled.

Dataset Description

VNMed Speech contains segmented audio clips from Vietnamese medical lectures and consultations, paired with transcripts that have been manually reviewed and corrected by human annotators.

  • Language: Vietnamese
  • Domain: Medical (cardiology, clinical consultations, medical lectures)
  • Sample rate: 8,000 Hz (mono)
  • Total samples: 2,887
  • Source: doof-ferb/VietMed_unlabeled
  • Annotation: Human-reviewed transcripts with WER/CER quality metrics

Dataset Structure

{
  "audio":          {"bytes": <wav bytes>, "path": <filename>},
  "text":           "reviewed/corrected transcript",
  "transcript":     "original ASR transcript",
  "duration":       11.008,
  "utterance_id":   "VietMed_un_308_s05I2W",
  "seq_name":       "VietMed_un_308",
  "audio_name":     "VietMed_un_308_s05I2W.wav",
  "source_id":      "308",
  "avg_confidence": 1.0
}

Fields

Field Type Description
audio dict Audio data: bytes (raw WAV) and path (filename)
text string Human-reviewed and corrected transcript
transcript string Original ASR transcript before review
duration float Audio duration in seconds
utterance_id string Unique identifier for the utterance
seq_name string Source sequence name (speaker/session ID)
audio_name string Audio filename
source_id string Numeric source/speaker ID
avg_confidence float ASR confidence score (1.0 − WER)

Usage

from datasets import load_dataset

ds = load_dataset("conglq/VNMed_Speech")
print(ds["train"][0])

Or load from the parquet file directly:

from datasets import load_dataset

ds = load_dataset("parquet", data_files="data/reviewed-merged.parquet")

Data Collection

Audio segments were extracted from doof-ferb/VietMed_unlabeled and transcribed using an ASR system. Transcripts were then manually reviewed by Vietnamese-speaking annotators who corrected errors and verified accuracy.

Contributors

Name HuggingFace
Lê Quý Công @conglq
Võ Thiên Phú @phuvo05

Citation

If you use this dataset, please cite:

@dataset{vnmed_speech_2026,
  title     = {VNMed Speech: Vietnamese Medical Speech Dataset},
  author    = {L{\^e} Qu{\'y} C{\^o}ng and V{\~o} Thi{\^e}n Ph{\'u}},
  year      = {2026},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/datasets/conglq/VNMed_Speech}
}

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

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