Medical Question Answering Dataset

💁Overview:

This dataset is a comprehensive collection of medical questions and answers, ranging from basic to complex. It's designed to fine-tune LLMs for medical question answering. Questions are categorized into anatomy, physiology, medicine, and more, and answers are concise and informative.

📖Examples:

Here are examples of questions and answers from the dataset:

Question: What is the role of the liver in the human body?

Answer: The liver is an organ that is located in the upper right portion of the abdomen. It is responsible for a variety of important functions, including the production of bile, the digestion of fats, and the removal of waste products from the blood. The liver also plays a role in the metabolism of drugs and other substances in the body.

Question: What are the different bones in the human body?

Answer: The human body has three types of bones:

  - Long bones: These are the bones that make up the arms and legs. They are designed to support the body and allow for movement.
  - Short bones: These are the bones that make up the hands and feet. They are smaller and more delicate than long bones.
  - Flat bones: These are the bones that make up the skull and the ribs. They are designed to protect the body's internal organs from damage.

Question: What is the difference between a heart attack and a stroke?

Answer: A heart attack occurs when the blood flow to the heart is blocked, usually by a clot in one of the coronary arteries. This can cause damage to the heart muscle, and can be life-threatening. A stroke occurs when the blood flow to the brain is blocked, usually by a clot or a hemorrhage. This can cause damage to the brain, and can result in loss of function or death.

💁Additional Information:

It is important to note that these are just a few examples of the types of questions and answers that can be found in the dataset. The dataset is intended to be a comprehensive resource for medical question answering, and it is designed to cover a wide range of medical topics and concepts.

🧐Best Practices for AI Training and Bias Mitigation:

The generative AI application should be fine-tuned on a diverse dataset of medical question pairs to improve its performance and minimize biases that could arise from skewed training data.