Datasets:
justinphan3110
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README.md
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---
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license: cc
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dataset_info:
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features:
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- name: en
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download_size: 23041004247
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dataset_size: 44360028980
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---
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---
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license: cc
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language:
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- vi
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- en
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task_categories:
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- text-generation
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- fill-mask
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- text-classification
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task_ids:
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- language-modeling
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- masked-language-modeling
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- text-scoring
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- topic-classification
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paperswithcode_id: pubmed
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dataset_info:
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features:
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- name: en
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download_size: 23041004247
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dataset_size: 44360028980
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---
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# Dataset Summary
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20M Vietnamese PubMed biomedical abstracts translated by the [state-of-the-art English-Vietnamese Translation projects](https://arxiv.org/abs/2210.05610). The data has been used as unlabeled dataset for [pretraining large language model](https://arxiv.org/abs/2210.05598).
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# Language
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- Vietnamese
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- English
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# Source Data - Initial Data Collection and Normalization
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https://www.nlm.nih.gov/databases/download/pubmed_medline_faq.html
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# Licensing Information
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[Courtesy of the U.S. National Library of Medicine.](https://www.nlm.nih.gov/databases/download/terms_and_conditions.html)
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# Citation
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```
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@misc{mtet,
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doi = {10.48550/ARXIV.2210.05610},
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url = {https://arxiv.org/abs/2210.05610},
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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},
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keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {MTet: Multi-domain Translation for English and Vietnamese},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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```
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```
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@misc{vipubmed,
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doi = {10.48550/ARXIV.2210.05598},
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url = {https://arxiv.org/abs/2210.05598},
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author = {Phan, Long and Dang, Tai and Tran, Hieu and Phan, Vy and Chau, Lam D. and Trinh, Trieu H.},
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keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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```
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