The RealMedConv dataset consists of anonymized, real-world dialogues between licensed pharmacists and users seeking over-the-counter (OTC) medication advice. Each conversation is goal-oriented: the pharmacist gathers sufficient symptom information to provide an online and appropriate recommendation. Dialogues are typically concise, spanning 3–5 turns, reflecting the efficient and expert-driven nature of professional medical consultations.
This dataset originates… See the full description on the dataset page:
https://huggingface.co/datasets/datajuicer/RealMedConv.
