| | --- |
| | task_categories: |
| | - text-retrieval |
| | language: |
| | - zh |
| | tags: |
| | - medical-question-answer-retrieval |
| | pretty_name: CMIRB Benchmark |
| | size_categories: |
| | - 10M<n<100M |
| | dataset_info: |
| | - config_name: default |
| | features: |
| | - name: q_id |
| | dtype: string |
| | - name: p_id |
| | dtype: string |
| | - name: score |
| | dtype: int64 |
| | splits: |
| | - name: test |
| | num_bytes: 47893 |
| | num_examples: 1000 |
| | - config_name: corpus |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: text |
| | dtype: string |
| | splits: |
| | - name: corpus |
| | num_bytes: 38908976 |
| | num_examples: 100999 |
| | - config_name: queries |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: text |
| | dtype: string |
| | splits: |
| | - name: queries |
| | num_bytes: 78649 |
| | num_examples: 1000 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: test |
| | path: qrels/test.jsonl |
| | - config_name: corpus |
| | data_files: |
| | - split: corpus |
| | path: corpus.jsonl |
| | - config_name: queries |
| | data_files: |
| | - split: queries |
| | path: queries.jsonl |
| | --- |
| | |
| | ## 🔭 Overview |
| |
|
| | ### CMIRB: Chinese Medical Information Retrieval Benchmark |
| |
|
| | **CMIRB** is a specialized multi-task dataset designed specifically for medical information retrieval. It consists of data collected from various medical online websites, encompassing 5 tasks and 10 datasets, and has practical application scenarios. |
| |
|
| | | Name | Description | Query #Samples | Doc #Samples | |
| | |:-----:|:---------------------------:|:-----:|:-----:| |
| | | [MedExamRetrieval](https://huggingface.co/datasets/CMIRB/MedExamRetrieval) | Medical multi-choice exam | 697 | 27,871 | |
| | | [DuBaikeRetrieval](https://huggingface.co/datasets/CMIRB/DuBaikeRetrieval) | Medical search query from BaiDu Search | 318 | 56,441 | |
| | | [DXYDiseaseRetrieval](https://huggingface.co/datasets/CMIRB/DXYDiseaseRetrieval) | Disease question from medical website | 1,255 | 54,021 | |
| | | [MedicalRetrieval](https://huggingface.co/datasets/C-MTEB/MedicalRetrieval) | Passage retrieval dataset collected from Alibaba | 1,000 | 100,999 | |
| | | [CmedqaRetrieval](https://huggingface.co/datasets/C-MTEB/CmedqaRetrieval) | Online medical consultation text | 3,999 | 100,001 | |
| | | [DXYConsultRetrieval](https://huggingface.co/datasets/CMIRB/DXYConsultRetrieval) | Online medical consultation text | 943 | 12,577 | |
| | | [CovidRetrieval](https://huggingface.co/datasets/C-MTEB/CovidRetrieval) | COVID-19 news articles | 949 | 100,001 | |
| | | [IIYiPostRetrieval](https://huggingface.co/datasets/CMIRB/IIYiPostRetrieval) | Medical post articles | 789 | 27,570 | |
| | | [CSLCiteRetrieval](https://huggingface.co/datasets/CMIRB/CSLCiteRetrieval) | Medical literature citation prediction | 573 | 36,703 | |
| | | [CSLRelatedRetrieval](https://huggingface.co/datasets/CMIRB/CSLRelatedRetrieval) | Medical similar literatue | 439 | 36,758 | |
| |
|
| | ## 🔗 GitHub |
| | Github link [AutoMIR](https://github.com/ll0ruc/AutoMIR) |
| |
|
| | ## 📄 Paper |
| | Paper link [arXiv](https://arxiv.org/abs/2410.20050) |
