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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:… See the full description on the dataset page: https://huggingface.co/datasets/phuvo05/vietmed-reviewed.

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Dataset Card

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

FieldTypeDescription
audioAudioAudio waveform
textstringFinal reviewed transcript used for ASR training
durationfloatAudio duration in seconds
utterance_idstringUnique utterance ID
seq_namestringSequence or session name inferred from audio filename
audio_namestringAudio filename without extension
source_idstringOriginal source audio ID
avg_confidencefloatAverage confidence score from pseudo-labeling or review metadata
transcriptstringBackup copy of the final reviewed transcript

Usage

~~~python 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:

~~~python 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.