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metadata
dataset_info:
  features:
    - name: translation
      struct:
        - name: ede
          dtype: string
        - name: vi
          dtype: string
  splits:
    - name: train
      num_bytes: 2441249.3201497775
      num_examples: 15092
    - name: validation
      num_bytes: 161757.83992511116
      num_examples: 1000
    - name: test
      num_bytes: 161757.83992511116
      num_examples: 1000
  download_size: 1628478
  dataset_size: 2764765
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-nc-4.0
task_categories:
  - translation
language:
  - vi
size_categories:
  - 10K<n<100K

Rhade-Vietnamese Machine Translation Dataset

Overview

This dataset provides a parallel corpus for Rhade (Ede) to Vietnamese machine translation. Rhade (also written Ê Đê or Ede) is an Austronesian language spoken primarily by the Ede ethnic minority in the Central Highlands of Vietnam. It is a low-resource language with very limited NLP resources, making this dataset a meaningful contribution to the multilingual NLP community.

The corpus consists of 17,097 sentence pairs spanning religious, cultural, and general-domain text, curated and aligned from multiple publicly available Vietnamese-Ede bilingual sources, including independently collected Rhade data from HDOK (@YPHIC).


Dataset Statistics

Attribute Value
Language Pair Rhade (Ede) to Vietnamese (ede-vi)
Total Pairs 17,097
Splits train (17,097 rows)
Format Parquet (auto-converted); JSON dict
Size (raw) 1.63 MB
Size (Parquet) 1.63 MB
Domain Religious text, general prose
Script Latin-based orthography (Ede), Vietnamese with diacritics

Data Format

Each record is a dictionary with two keys:

{
  "translation": {
    "ede": "Bhung kahan ai tiê kriăng snăk.",
    "vi": "Các chiến sĩ rất chăm chỉ."
  }
}
Field Description
translation.ede Source sentence in Rhade (Ede)
translation.vi Target sentence in Vietnamese

Data Sources

The corpus was collected and aligned from the following publicly accessible sources:

Source Description URL
VOV4 - Voice of Vietnam (Ede) Vietnamese national broadcaster content in Ede language https://vov4.vov.vn/ede
Revised Vietnamese Version Bible (RVV11) Bilingual Bible corpus (Ede-Vietnamese), RVV 2011 edition https://kinhthanh.httlvn.org/?v=RVV11
HDOK / YPHIC (Hugging Face) Independently collected Rhade text data and model resources https://huggingface.co/YPHIC

All data has been collected in accordance with the publicly accessible nature of the source materials. Users are responsible for ensuring compliance with the terms of use of the original sources for their intended applications.


Usage

Loading with Hugging Face Datasets

from datasets import load_dataset

dataset = load_dataset("NIRVLab/rhade-vietnamese-mt")
print(dataset["train"][0])
# Output:
# {'translation': {'ede': 'Bhung kahan ai tiê kriăng snăk.', 'vi': 'Các chiến sĩ rất chăm chỉ.'}}

Fine-tuning a Translation Model

from datasets import load_dataset
from transformers import MarianMTModel, MarianTokenizer

dataset = load_dataset("NIRVLab/rhade-vietnamese-mt")

for example in dataset["train"]:
    src = example["translation"]["ede"]
    tgt = example["translation"]["vi"]
    # ... your training pipeline here

Intended Uses and Limitations

Intended Uses

  • Low-resource machine translation research (Ede to/from Vietnamese)
  • Multilingual and cross-lingual NLP benchmarking
  • Transfer learning and multilingual model evaluation
  • Linguistic documentation and computational analysis of Rhade

Limitations

  • The corpus is domain-skewed toward religious and broadcast journalism text, which may limit generalization to other domains.
  • Rhade is a low-resource language with limited pre-existing NLP tools; tokenization and morphological analysis may require custom solutions.

License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. It is made available strictly for non-commercial purposes, including academic research, education, and linguistic study. Any commercial use, redistribution for profit, or incorporation into commercial products or services is explicitly prohibited. If you use this dataset, you must give appropriate credit to the original author and may not apply legal terms or technological measures that restrict others from using it under the same terms.


Citation

If you use this dataset in your research, please cite the following:

@dataset{tran2025rhade,
  author    = {Tran, Nhan D.},
  title     = {{Rhade--Vietnamese Machine Translation Dataset}},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/NIRVLab/rhade-vietnamese-mt},
  note      = {A parallel corpus for low-resource Rhade (Ede)--Vietnamese
               machine translation, collected from VOV4 (Voice of Vietnam),
               the Revised Vietnamese Version Bible (RVV11), and Rhade text
               data sourced from HDOK (https://huggingface.co/YPHIC).},
}

This dataset incorporates Rhade text data originally collected by HDOK. If you make direct use of those resources, please also cite their work:

@misc{hdok2025rhade,
  author       = {HDOK},
  title        = {{Rhade AI API and rhade\_ttt\_model\_v01}},
  year         = {2025},
  howpublished = {Hugging Face},
  url          = {https://huggingface.co/YPHIC},
  note         = {Rhade language model and translation API for low-resource NLP,
                  available at https://huggingface.co/spaces/YPHIC/rhade-ai-api.},
}

Please also consider citing the original data sources (VOV4 and HTTLVN) if you use content derived from those corpora.


Author and Affiliation

Nhan D. Tran Network for Intelligent Research Vietnam (NIRVLab)

For questions, issues, or contributions, please open a discussion on the Hugging Face dataset page at https://huggingface.co/datasets/NIRVLab/rhade-vietnamese-mt/discussions.


Contributing

Contributions to expand the corpus — including additional domains, improved sentence alignment, or dedicated test sets — are warmly welcomed. Please open a discussion on the dataset page or contact the author directly.


Acknowledgements

We thank the Voice of Vietnam (VOV4) and the Evangelical Church of Vietnam (HTTLVN) for making bilingual Ede-Vietnamese content publicly available. We also thank HDOK (@YPHIC, yphichdok) for independently collecting and openly sharing Rhade language data and model resources, part of which was incorporated into this corpus. This work contributes to the preservation and computational study of endangered and minority languages in Vietnam.