This dataset is a valuable resource created to evaluate the performance of large language models (LLMs) in the field of medicine in Vietnamese. It provides a diverse set of questions and answers, categorized by complexity, which helps researchers assess a model's capabilities from a basic to an advanced level.

Data Source

The data was compiled and reviewed by a team of experts, including medical residents and master's degree holders in medicine. The questions are built upon official medical knowledge from reliable documents and textbooks, ensuring high accuracy and trustworthiness.

Data Structure and Difficulty Levels

The dataset is organized into two main categories to provide a comprehensive evaluation of a model's capabilities:

Basic Level: Includes questions about general, common, and fundamental medical knowledge and definitions. These questions do not require complex reasoning, primarily testing the model's ability to recall and retrieve information.
- Example: "What is the normal blood pressure for an adult?" or "What are the functions of Vitamin C?"
Advanced Level: Includes in-depth questions focusing on clinical scenarios and complex medical cases. To answer correctly, the model needs to be able to reason logically, synthesize information from multiple sources, and draw conclusions.
- Example: "What are the differential diagnoses for a patient with a high fever and a rash with subcutaneous hemorrhages?" or "Analyze the symptoms to provide initial treatment guidelines for a patient with suspected acute appendicitis."

In total, the dataset contains nearly 5000 questions, creating a comprehensive and rich benchmark.

Intended Use

This dataset is built solely for academic and research purposes.

Scientific Research: Supports researchers in evaluating and improving Vietnamese language models in the medical domain.
Education: Provides students and those in medical education with additional reference materials and practice.

Disclaimer

This is a dataset for model evaluation and is not a substitute for professional medical advice. Although it has been carefully reviewed, the dataset may unavoidably contain errors. Users should note:

Do not use this data for self-diagnosis, treating illnesses, or making any medical decisions.
All medical information should be referenced and confirmed by qualified medical professionals.

Using this dataset implies that you agree to the terms of this disclaimer.

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