A Specialized Dataset of Persian Pharmaceutical Questions and Expert Responses
Published: 1 October 2024| Version 1 | DOI: 10.17632/hzzf2zkzcz.1
Contributors:
, pedram porbahaDescription
The dataset contains 24,957 Persian comments categorized by drug name, with 9,716 of these (38.9%) receiving expert responses, including details about the experts' specialties. Additionally, the dataset includes drug names, Martindale categories for each drug, and information about the experts' categories and specialties. This dataset can be used to fine-tune large language models (LLMs) for question and answering in Persian about pharmaceutical topics. It also allows for the analysis of common questions and answers about drugs.
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Institutions
Shiraz University of Medical Sciences
Categories
Pharmacy, Artificial Intelligence, Natural Language Processing, Machine Learning, Pharmacist