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