phuvo05/vietmed-reviewed

VietMed Reviewed

VietMed Reviewed is a reviewed Vietnamese medical speech dataset for automatic speech recognition.

This dataset is built from reviewed pseudo-labeled samples of the VietMed unlabeled subset. Each sample contains a WAV audio segment and a final reviewed transcript.

The dataset follows a simplified schema inspired by leduckhai/VietMed, with one split named reviewed.

Dataset Details

• Task: Automatic Speech Recognition
• Language: Vietnamese
• Domain: Medical speech
• Audio format: WAV
• Split: reviewed
• License: MIT

Data Fields

Field	Type	Description
audio	Audio	Audio waveform
text	string	Final reviewed transcript used for ASR training
duration	float	Audio duration in seconds
utterance_id	string	Unique utterance ID
seq_name	string	Sequence or session name inferred from audio filename
audio_name	string	Audio filename without extension
source_id	string	Original source audio ID
avg_confidence	float	Average confidence score from pseudo-labeling or review metadata
transcript	string	Backup copy of the final reviewed transcript

Usage

from datasets import load_dataset

ds = load_dataset("phuvo05/vietmed-reviewed", split="reviewed")
print(ds)
print(ds[0])

For ASR training, use the audio and text columns:

sample = ds[0]

audio = sample["audio"]
text = sample["text"]

Notes

• This dataset contains only reviewed samples.
• The text field should be used as the main transcript for ASR training.
• The transcript field is kept as a backup copy of the final reviewed transcript.
• The dataset uses one split only: reviewed.
• Future reviewed blocks can be appended into the same split by loading the old dataset, concatenating with the new block, deduplicating by source_id, and pushing back to the same repository.

Source

This dataset is derived from the VietMed unlabeled speech data and a reviewed pseudo-labeling workflow.

The schema is inspired by leduckhai/VietMed.