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EtoUbivaetMnya1997/MedXpertQA-Exam

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Hugging Face2025-12-07 更新2025-12-20 收录
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--- license: cc-by-4.0 task_categories: - text-retrieval language: - en tags: - medical-retrieval pretty_name: R2MED Benchmark size_categories: - 10M<n<100M configs: - config_name: qrels data_files: - split: qrels path: qrels.jsonl - config_name: corpus data_files: - split: corpus path: corpus.jsonl - config_name: query data_files: - split: query path: query.jsonl - config_name: hyde data_files: - split: gpt4 path: hyde/gpt4/query_with_hydoc.jsonl - split: huatuo_o1_70b path: hyde/huatuo-o1-70b/query_with_hydoc.jsonl - split: llama_70b path: hyde/llama-70b/query_with_hydoc.jsonl - split: o3_mini path: hyde/o3-mini/query_with_hydoc.jsonl - split: qwen_7b path: hyde/qwen-7b/query_with_hydoc.jsonl - split: qwen_32b path: hyde/qwen-32b/query_with_hydoc.jsonl - split: qwen_72b path: hyde/qwen-72b/query_with_hydoc.jsonl - split: qwq_32b path: hyde/qwq-32b/query_with_hydoc.jsonl - split: r1_llama_70b path: hyde/r1-llama-70b/query_with_hydoc.jsonl - split: r1_qwen_32b path: hyde/r1-qwen-32b/query_with_hydoc.jsonl - config_name: query2doc data_files: - split: gpt4 path: query2doc/gpt4/query_with_hydoc.jsonl - split: qwen_7b path: query2doc/qwen-7b/query_with_hydoc.jsonl - split: qwen_72b path: query2doc/qwen-72b/query_with_hydoc.jsonl - config_name: lamer data_files: - split: gpt4 path: lamer/gpt4/query_with_hydoc.jsonl - split: qwen_7b path: lamer/qwen-7b/query_with_hydoc.jsonl - split: qwen_72b path: lamer/qwen-72b/query_with_hydoc.jsonl - config_name: search-r1 data_files: - split: qwen_3b_ins path: search-r1/qwen-3b-ins/query_with_hydoc.jsonl - split: qwen_7b_ins path: search-r1/qwen-7b-ins/query_with_hydoc.jsonl - config_name: search-o1 data_files: - split: qwq_32b path: search-o1/qwq-32b/query_with_hydoc.jsonl - split: qwen3_32b path: search-o1/qwen3-32b/query_with_hydoc.jsonl --- ## 🔭 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](https://huggingface.co/datasets/R2MED/Biology) | 103 | 57359 | 3.6 | 115.2 | 83.6 | | [Bioinformatics](https://huggingface.co/datasets/R2MED/Bioinformatics) | 77 | 47473 | 2.9 | 273.8 | 150.5 | | [Medical Sciences](https://huggingface.co/datasets/R2MED/Medical-Sciences) | 88 | 34810 | 2.8 | 107.1 | 122.7 | | [MedXpertQA-Exam](https://huggingface.co/datasets/R2MED/MedXpertQA-Exam) | 97 | 61379 | 3.0 | 233.2 | 154.9 | | [MedQA-Diag](https://huggingface.co/datasets/R2MED/MedQA-Diag) | 118 | 56250 | 4.4 | 167.8 | 179.7 | | [PMC-Treatment](https://huggingface.co/datasets/R2MED/PMC-Treatment) | 150 | 28954 | 2.1 | 449.3 | 149.3 | | [PMC-Clinical](https://huggingface.co/datasets/R2MED/PMC-Clinical) | 114 | 60406 | 2.2 | 182.8 | 480.4 | | [IIYi-Clinical](https://huggingface.co/datasets/R2MED/IIYi-Clinical) | 129 | 10449 | 3.5 | 602.3 | 1273.0 | ## 🏆 Leaderboard You could check out the results at [Leaderboard](https://r2med.github.io/#leaderboard). ## 🔗 GitHub Github link [R2MED](https://github.com/R2MED/R2MED) ## 🏠 Homepage Homepage link [R2MED](https://r2med.github.io/) ## 📄 Paper Paper link [arXiv](https://arxiv.org/abs/2505.14558)

许可协议:CC-BY-4.0 任务类别: - 文本检索(text-retrieval) 语言: - 英语(en) 标签: - 医疗检索(medical-retrieval) 数据集展示名:R2MED基准测试集(R2MED Benchmark) 样本规模区间: - 1000万 < 样本数 < 1亿 配置项: - 配置项名称:相关性判断集(qrels) 数据文件: - 拆分:qrels 文件路径:qrels.jsonl - 配置项名称:文档语料库(corpus) 数据文件: - 拆分:corpus 文件路径:corpus.jsonl - 配置项名称:查询集(query) 数据文件: - 拆分:query 文件路径:query.jsonl - 配置项名称:hyde 数据文件: - 拆分:GPT-4 文件路径:hyde/gpt4/query_with_hydoc.jsonl - 拆分:huatuo-o1-70b 文件路径:hyde/huatuo-o1-70b/query_with_hydoc.jsonl - 拆分:llama-70b 文件路径:hyde/llama-70b/query_with_hydoc.jsonl - 拆分:o3-mini 文件路径:hyde/o3-mini/query_with_hydoc.jsonl - 拆分:qwen-7b 文件路径:hyde/qwen-7b/query_with_hydoc.jsonl - 拆分:qwen-32b 文件路径:hyde/qwen-32b/query_with_hydoc.jsonl - 拆分:qwen-72b 文件路径:hyde/qwen-72b/query_with_hydoc.jsonl - 拆分:qwq-32b 文件路径:hyde/qwq-32b/query_with_hydoc.jsonl - 拆分:r1-llama-70b 文件路径:hyde/r1-llama-70b/query_with_hydoc.jsonl - 拆分:r1-qwen-32b 文件路径:hyde/r1-qwen-32b/query_with_hydoc.jsonl - 配置项名称:query2doc 数据文件: - 拆分:GPT-4 文件路径:query2doc/gpt4/query_with_hydoc.jsonl - 拆分:qwen-7b 文件路径:query2doc/qwen-7b/query_with_hydoc.jsonl - 拆分:qwen-72b 文件路径:query2doc/qwen-72b/query_with_hydoc.jsonl - 配置项名称:lamer 数据文件: - 拆分:GPT-4 文件路径:lamer/gpt4/query_with_hydoc.jsonl - 拆分:qwen-7b 文件路径:lamer/qwen-7b/query_with_hydoc.jsonl - 拆分:qwen-72b 文件路径:lamer/qwen-72b/query_with_hydoc.jsonl - 配置项名称:search-r1 数据文件: - 拆分:qwen-3b-ins 文件路径:search-r1/qwen-3b-ins/query_with_hydoc.jsonl - 拆分:qwen-7b-ins 文件路径:search-r1/qwen-7b-ins/query_with_hydoc.jsonl - 配置项名称:search-o1 数据文件: - 拆分:qwq-32b 文件路径:search-o1/qwq-32b/query_with_hydoc.jsonl - 拆分:qwen3-32b 文件路径:search-o1/qwen3-32b/query_with_hydoc.jsonl ## 🔭 总览 ### R2MED:首个推理驱动型医疗检索基准测试集 **R2MED** 是一款专为医疗场景设计的高质量、精细化合成信息检索(Information Retrieval, IR)数据集,涵盖876条查询语句,包含三类检索任务、五类医疗场景与十二个人体系统。 | 数据集 | 查询数 | 文档数 | 平均位次 | 查询平均长度 | 文档平均长度 | |:-------------------------------|:--------:|:--------:|:--------:|:--------:|:--------:| | 生物学(Biology) | 103 | 57359 | 3.6 | 115.2 | 83.6 | | 生物信息学(Bioinformatics) | 77 | 47473 | 2.9 | 273.8 | 150.5 | | 医学科学(Medical Sciences) | 88 | 34810 | 2.8 | 107.1 | 122.7 | | MedXpertQA-Exam | 97 | 61379 | 3.0 | 233.2 | 154.9 | | MedQA-Diag | 118 | 56250 | 4.4 | 167.8 | 179.7 | | PMC-Treatment | 150 | 28954 | 2.1 | 449.3 | 149.3 | | PMC-Clinical | 114 | 60406 | 2.2 | 182.8 | 480.4 | | IIYi-Clinical | 129 | 10449 | 3.5 | 602.3 | 1273.0 | ## 🏆 排行榜 您可通过[排行榜链接](https://r2med.github.io/#leaderboard)查看评测结果。 ## 🔗 GitHub 项目仓库链接 [R2MED](https://github.com/R2MED/R2MED) ## 🏠 项目主页 项目主页链接 [R2MED](https://r2med.github.io/) ## 📄 相关论文 论文链接 [arXiv](https://arxiv.org/abs/2505.14558)
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