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Tày-Vietnamese Parallel Dataset

The Tày–Vietnamese Parallel Dataset is a low-resource bilingual corpus designed for machine translation research. It consists of sentence-level aligned Tày and Vietnamese text pairs, manually curated and validated to ensure semantic accuracy. The dataset supports research on neural machine translation and cross-lingual learning for under-resourced languages.

Dataset Statistics

  • Number of sentence pairs: 20,600
  • Average sentence length (Tày): 7.50 tokens
  • Average sentence length (Vietnamese): 5.46 tokens

Limitations

  • Limited data size due to the low-resource nature of the Tày language
  • Coverage is limited to everyday communication and usage topics

Contributions

All authors contributed equally to the construction, preprocessing, and validation of the dataset.

Citation

@dataset{tran2025tayvie,
  title     = {Tày-Vietnamese Parallel Dataset},
  author    = {Tran, Nhan Duy and Ngo, Anh Phuong and Truong, Dat Thanh},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/HeyDunaX/tay-vietnamese-nmt}
}
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