32,708,346 medical consultation QA pairs collected from online platforms featuring patient questions and expert doctor responses. The data includes metadata for medical professionals such as their name, hospital affiliation, and specific medical department.
Use Cases
- Fine-tune large language models for medical dialogue generation using the patient question and doctor answer pairs
- Analyze medical specialty trends by grouping consultation records by the department column
- Develop medical entity extraction tools to identify symptoms and diagnoses within the patient question text
- Build recommendation systems for hospital departments based on the content of patient inquiries
Strengths
- 32,708,346 unique question-answer pairs derived from expert medical consultations
- Includes metadata for doctors including name, hospital organization, and department
- Captures authentic patient inquiries and professional medical advice across diverse clinical departments