README.md

---
license: apache-2.0
language: 
- abs
- aoz
- day
- mak
- mkn
pretty_name: Bhinneka Korpus
task_categories: 
- machine-translation
tags: 
- machine-translation
---

The Bhinneka Korpus dataset was parallel dataset for five Indonesian Local Languages conducted 
through a volunteer-driven translation strategy, encompassing sentences in the Indonesian-English pairs and lexical 
terms. The dataset consist of parallel data with 16,000 sentences in total, details with 4,000 sentence pairs for two 
Indonesia local language and approximately 3,000 sentences for other languages, and one lexicon dataset creation for 
Beaye language. In addition, since beaye is a undocumented language, we don't have any information yet about the use 
of language code. Therefore, we used "day" (a code for land dayak language family) to represent the language.

## Languages

abs, aoz, day, mak, mkn

## Supported Tasks

Machine Translation
    
## Dataset Usage
### Using `datasets` library
```
    from datasets import load_dataset
    dset = datasets.load_dataset("SEACrowd/bhinneka_korpus", trust_remote_code=True)
```
### Using `seacrowd` library
```import seacrowd as sc
# Load the dataset using the default config
    dset = sc.load_dataset("bhinneka_korpus", schema="seacrowd")
# Check all available subsets (config names) of the dataset
    print(sc.available_config_names("bhinneka_korpus"))
# 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://github.com/joanitolopo/bhinneka-korpus](https://github.com/joanitolopo/bhinneka-korpus)

## Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

## Dataset License

Apache license 2.0 (apache-2.0)

## Citation

If you are using the **Bhinneka Korpus** dataloader in your work, please cite the following:
```
@misc{lopo2024constructing,
      title={Constructing and Expanding Low-Resource and Underrepresented Parallel Datasets for Indonesian Local Languages}, 
      author={Joanito Agili Lopo and Radius Tanone},
      year={2024},
      eprint={2404.01009},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}


@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}
}

```