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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
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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