This dataset is a comprehensive collection of Vietnamese medical texts, designed to support research and educational endeavors in the fields of natural language processing and medical informatics.

Dataset Source: The data is aggregated from a variety of reputable Vietnamese medical sources, including:
- 1,500 medical textbooks from numerous medical publishers in Vietnam.
- Informative medical posts and articles from trusted hospitals.
- Approximately 4,000 articles from Vietnamese medical journals.
Language: The primary language of the dataset is Vietnamese.
Intended Use: This dataset is intended for non-commercial, research, and educational purposes only. It can be utilized for tasks such as training language models, information retrieval, text classification, and other NLP tasks within the medical domain.

Disclaimer

The creators of this dataset make no warranties, express or implied, regarding the accuracy, completeness, or reliability of the information contained herein. The data is provided "as is" and is not intended to be a substitute for professional medical advice, diagnosis, or treatment.

Limitation of Liability: The information in this dataset is compiled from various sources and may contain inaccuracies, errors, or outdated information. The dataset creators and affiliated parties shall not be held responsible for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this dataset, even if advised of the possibility of such damage.

No Medical Advice: This dataset is not a source of medical advice. Always seek the guidance of a qualified health professional with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read or inferred from this dataset.

Bias and Fairness: While efforts have been made to curate a diverse and representative dataset, it may reflect the biases present in the original source materials. Users should be aware of potential biases and take them into consideration when building models or conducting research with this data.

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