Medical Question-Answer Pairs from Biomedical Literature

MIRIAD contains 4.4 million medical question-answer pairs. The pairs were distilled from peer-reviewed biomedical literature using large language models, providing structured data for downstream tasks.

Use Cases

• Train a retrieval-augmented generation (RAG) system using the 4.4 million question-answer pairs for medical information retrieval.
• Fine-tune a language model for instruction tuning on the distilled medical question-answer pairs.
• Develop a benchmark for hallucination detection in medical text generation using the structured QA pairs.

Strengths

• Scale of 4.4 million question-answer pairs.
• Data is sourced from peer-reviewed biomedical literature.
• Pairs are structured and intended for high-quality downstream applications.

Limitations

• No column or sample data is available to assess the specific structure and content of the QA pairs.
• The method of distillation using LLMs may introduce biases or errors not present in the original literature.
• Dataset freshness is unknown beyond the last platform update date.

Provenance

Source

Distilled from peer-reviewed biomedical literature.

Collection Method

Curated using large language models to distill question-answer pairs.

Freshness

Last platform update was 2025-06-11.