Medical Dialogues Text

Text
Healthcare
Fine-tuning LLMs
Assisted Medical Diagnosis
English

The Medical Dialogues Text dataset contains over 55,000 real-world Q&A pairs across 80+ medical specialties such as Audiology, Cardiology, Chiropractor, Dermatology, Hematology, Neurology, Nephrology, Gastroenterology, Otolaryngology, Pediatrics, and Psychology. Featuring natural doctor patient conversations from diverse demographics—including 50% from the US as well as the EU, UK, Australia, Canada and the Philippines—this English-only dataset includes metadata on question/answer roles and specialty labels. Ideal for training conversational AI, clinical summarization and patient triage systems.

98_doctor-patient-interactions.jpg

Type

Text

Amount

55,000 Q&A pairs

Field

Healthcare

Region

English

Use this dataset for:

- Specialty-Specific Virtual Assistants: Build chatbots tailored to specialties like cardiology or psychiatry, leveraging tagged interactions for targeted medical responses

AI use cases:

- Fine-Tune Clinical LLMs for Consultation Dialogue: Train medical language models capable of realistic doctor–patient interactions for telehealth assistants or symptom checkers.

- Clinical Summarization & Triage Support: Develop AI that summarizes patient concerns and predicts next steps, optimizing nurse or clinician triage workflows.

Technical Specifications

  • Type: Text
  • Quantity: 55,000 Q&A pairs
  • Domain: Healthcare
  • Language: English (en-XX)
  • Metadata: Language, Question & Answer and Speciality Name
  • File Format: JSON
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