VietAI/vi_pubmed

Dataset Summary

20M Vietnamese PubMed biomedical abstracts translated by the state-of-the-art English-Vietnamese Translation project. The data has been used as unlabeled dataset for pretraining a Vietnamese Biomedical-domain Transformer model.

image source: Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation

Language

• English: Original biomedical abstracts from Pubmed
• Vietnamese: Synthetic abstract translated by a state-of-the-art English-Vietnamese Translation project

Dataset Structure

• The English sequences are
• The Vietnamese sequences are

Source Data - Initial Data Collection and Normalization

https://www.nlm.nih.gov/databases/download/pubmed_medline_faq.html

Licensing Information

Courtesy of the U.S. National Library of Medicine.

Citation

@misc{mtet,
  doi = {10.48550/ARXIV.2210.05610},
  url = {https://arxiv.org/abs/2210.05610},
  author = {Ngo, Chinh and Trinh, Trieu H. and Phan, Long and Tran, Hieu and Dang, Tai and Nguyen, Hieu and Nguyen, Minh and Luong, Minh-Thang},
  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {MTet: Multi-domain Translation for English and Vietnamese},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}

@misc{vipubmed,
  doi = {10.48550/ARXIV.2210.05598},
  url = {https://arxiv.org/abs/2210.05598},
  author = {Phan, Long and Dang, Tai and Tran, Hieu and Phan, Vy and Chau, Lam D. and Trinh, Trieu H.},
  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}