---
language: 
- bug
- min
- ace
- ind
- ban
- sun
- jav
pretty_name: Librivox Indonesia
task_categories: 
- speech-recognition
tags: 
- speech-recognition
---

The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox. 
We collected only languages in Indonesia for this dataset. 
The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours. 
Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
We converted the audiobooks to speech datasets using the forced alignment software we developed. 
It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau. 
We can also use it for other languages without additional work to train the model.
The dataset currently consists of 8 hours in 7 languages from Indonesia. 
We will add more languages or audio files as we collect them. 


## Languages

bug, min, ace, ind, ban, sun, jav

## Supported Tasks

Speech Recognition
    
## Dataset Usage
### Using `datasets` library
```
    from datasets import load_dataset
    dset = datasets.load_dataset("SEACrowd/librivox_indonesia", trust_remote_code=True)
```
### Using `seacrowd` library
```import seacrowd as sc
# Load the dataset using the default config
    dset = sc.load_dataset("librivox_indonesia", schema="seacrowd")
# Check all available subsets (config names) of the dataset
    print(sc.available_config_names("librivox_indonesia"))
# Load the dataset using a specific config
    dset = sc.load_dataset_by_config_name(config_name="<config_name>")
```
    
    More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
    

## Dataset Homepage

[https://huggingface.co/indonesian-nlp/librivox-indonesia](https://huggingface.co/indonesian-nlp/librivox-indonesia)

## Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

## Dataset License

CC0

## Citation

If you are using the **Librivox Indonesia** dataloader in your work, please cite the following:
```
@misc{
   research, 
   title={indonesian-nlp/librivox-indonesia · datasets at hugging face}, 
   url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
   author={Indonesian-nlp}
} 


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}

```