MIRIAD is a selected million-level medical guidance and retrieval dataset released by ETH Zurich and Stanford University in 2025. The related paper results are:MIRIAD: Augmenting LLMs with millions of medical query-response pairs". The dataset contains 5.82 million medical question-answer pairs, covering all aspects from basic science to clinical practice. MIRIAD provides structured high-quality question-answer pairs to support various downstream tasks such as RAG, medical retrieval, hallucination detection, and instruction adjustment.

Citation

@misc{zheng2025miriadaugmentingllmsmillions, title={MIRIAD: Augmenting LLMs with millions of medical query-response pairs}, author={Qinyue Zheng and Salman Abdullah and Sam Rawal and Cyril Zakka and Sophie Ostmeier and Maximilian Purk and Eduardo Reis and Eric J. Topol and Jure Leskovec and Michael Moor}, year={2025}, eprint={2506.06091}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2506.06091}, }