---
license: cc-by-4.0
language:
- vi
pretty_name: Vietnam Celeb
size_categories:
- 10K<n<100K
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: original_file_path
    dtype: string
  splits:
  - name: train
    num_bytes: 13847623047.75
    num_examples: 59746
  - name: test
    num_bytes: 7743454085.75
    num_examples: 27394
  download_size: 21507637672
  dataset_size: 21591077133.5
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# unofficial mirror of Vietnam-Celeb dataset

official announcement:
- https://github.com/Vietnam-Celeb/Vietnam-Celeb
- https://huggingface.co/datasets/hustep-lab/Vietnam-Celeb

official download:
- Part 0: https://drive.google.com/file/d/1pMuT3DFzSwib7SVcRS8VkDwPuLTsemSG/view?usp=share_link     
- Part 1: https://drive.google.com/file/d/1xayHt2HRqE1aJ4HvtUT40_9XlgvfDfRY/view?usp=share_link     
- Part 2: https://drive.google.com/file/d/1MIlM78EbN_J9cApkNes_2_BrFrf8XwMc/view?usp=share_link    
- Part 3: https://drive.google.com/file/d/1h6Na58DC03p-502B9QpC5Z_FadUwAdNA/view?usp=share_link    

DOI: `10.21437/Interspeech.2023-1989`

187h, 87k samples, no transcription

pre-process: see my code: https://github.com/phineas-pta/fine-tune-whisper-vi/blob/main/misc/viet-celeb.py

usage with HuggingFace:
```python
# pip install -q "datasets[audio]"
from datasets import load_dataset
from torch.utils.data import DataLoader

dataset = load_dataset("doof-ferb/Vietnam-Celeb", split="train", streaming=True)
dataset.set_format(type="torch", columns=["audio"])
dataloader = DataLoader(dataset, batch_size=4)
```