Dataset · Hugging Face

R2MED/Bioinformatics

Name: Bioinformatics
Creator: R2MED
License: cc-by-4.0
Keywords: task_categories:text-retrieval, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2505.14558, region:us, medical-retrieval

🔭 Overview R2MED: First Reasoning-Driven Medical Retrieval Benchmark R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, five medical scenarios, and twelve body systems. Dataset #Q #D Avg. Pos Q-Len D-Len Biology 103 57359 3.6 115.2 83.6 Bioinformatics 77 47473 2.9 273.8 150.5 Medical Sciences 88 34810 2.8 107.1 122.7… See the full description on the dataset page: https://huggingface.co/datasets/R2MED/Bioinformatics.

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Author / organization	R2MED
License (as declared)	cc-by-4.0
Downloads	1.3K (as reported by Hugging Face)
Likes	2
Created	15 May 2025
Last updated at source	21 May 2025

medical-retrieval

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16 Oct 2026 Description: 🔭 Overview R2MED: First Reasoning-Driven Medical Retrieval Benchmark R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, → 🔭 Overview R2MED: First Reasoning-Driven Medical Retrieval Benchmark R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks,

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