---
license: apache-2.0
task_categories:
- text-retrieval
language:
- zh
tags:
- baidu-baike-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: 15264
        num_examples: 318
  - config_name: corpus
    features:
      - name: id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 66439021
        num_examples: 56441
  - config_name: queries
    features:
      - name: id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: queries
        num_bytes: 16216
        num_examples: 318
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)