Datasets:

giangndm
/

LSVSC-opus

language:
  - vi
license: cc-by-4.0
source_datasets:
  - doof-ferb/LSVSC
task_categories:
  - automatic-speech-recognition
  - text-to-speech
pretty_name: a novel large-scale Vietnamese speech corpus (LSVSC)
tags:
  - audio
  - compressed
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
audio_compress:
  - config: default
    split: train
    format: Opus
    settings: level=0.9
    columns:
      - audio
    source: doof-ferb/LSVSC
    status: done
    rows: 45458
    hours: 80.63
    size: 9.27 GB → 1.15 GB

LSVSC (compressed audio)

This is a compressed version of doof-ferb/LSVSC. Only the audio column(s) were re-encoded (see the table below) to reduce download size; every other column, subset and split name is kept unchanged.

License: same as the original dataset (cc-by-4.0). Please refer to the original dataset card for the full description, citation and terms of use.

Compressed splits

config	split	format	settings	sample rate	rows	audio hours	size (orig → new)
`default`	`train`	Opus	level=0.9	original	45,458	80.63	9.27 GB → 1.15 GB

Usage

from datasets import load_dataset

ds = load_dataset('giangndm/LSVSC-opus', 'default', split='train')

Lossy formats (Opus / MP3) are not bit-exact with the original audio. Encoded with soundfile (libsndfile).