---
license: apache-2.0
configs:
- config_name: pretrain_text
  data_files: train/pretrain/*_text.json
- config_name: check_exam_questions
  data_files: check_exam/questions/*_question.json
---
# Multilingual Medicine: Model, Dataset, Benchmark, Code

Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far


<p align="center">
   👨🏻‍💻<a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a> • 🌐 <a href="https://apollo.llmzoo.com/" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a> 
   <br>  <a href="./README_zh.md"> 中文 </a> | <a href="./README.md"> English
</p>

![Apollo](assets/apollo_medium_final.png)

## 🌈 Update

* **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released.
* **[2024.02.12]** <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> and  <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>  is published！🎉
* **[2024.01.23]** Apollo repo is published！🎉


## Results

  <a href="https://huggingface.co/FreedomIntelligence/Apollo-0.5B" target="_blank">Apollo-0.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-1.8B" target="_blank">Apollo-1.8B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-2B" target="_blank">Apollo-2B</a>  • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-6B" target="_blank">Apollo-6B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-7B" target="_blank">Apollo-7B</a>

   <details><summary>Click to expand</summary>
   
   ![Apollo](assets/result.png)
      
   
   </details>

## Data: Huge, Diverse, Clean, Multilingual


   
   ![Apollo](assets/dataset.png)
      
   
   
## Usage

- [Zip File](https://huggingface.co/datasets/FreedomIntelligence/Medbase_data/blob/main/Medbase_data-datasets.zip)
- [Data category](https://huggingface.co/datasets/FreedomIntelligence/Medbase_data/tree/main/train)
  - Pretrain:
    - json_name: {data_source}_{language}_{data_type}.json
      - data_type: medicalBook, medicalGuideline, medicalPaper, medicalWeb(from online forum), medicalWiki
      - language: en(English), zh(chinese), es(spanish), fr(french), hi(Hindi)
      - data_type: qa(generated qa from text)
    - data item:
      - data_type==text: list of string
        ```
        [
          "string1",
          "string2",
          ...
        ]
        ```
      - data_type==qa: list of qa pairs(list of string)
        ```
        [
          [
            "q1",
            "a1",
            "q2",
            "a2",
            ...
          ],
          ...
        ]
        ```

  - SFT:
    - json_name: {data_source}_{language}.json
      - data_type: code, general, math, medicalExam, medicalPatient
    - data item: list of qa pairs(list of string)
      ```
        [
          [
            "q1",
            "a1",
            "q2",
            "a2",
            ...
          ],
          ...
        ]
        ```

    



## Citation

```
@misc{wang2024apollo,
   title={Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People},
   author={Xidong Wang and Nuo Chen and Junyin Chen and Yan Hu and Yidong Wang and Xiangbo Wu and Anningzhe Gao and Xiang Wan and Haizhou Li and Benyou Wang},
   year={2024},
   eprint={2403.03640},
   archivePrefix={arXiv},
   primaryClass={cs.CL}
}
```