Datasets:
File size: 1,622 Bytes
1e4586a 5913834 1e4586a 5913834 1e4586a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | ---
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`](https://huggingface.co/datasets/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](https://huggingface.co/datasets/doof-ferb/LSVSC) for the full description, citation and terms of use.
## Compressed splits
<!-- audio-compress:table:start -->
| 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 |
<!-- audio-compress:table:end -->
## Usage
```python
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`](https://github.com/bastibe/python-soundfile) (libsndfile).
|