metadata

license: apache-2.0

Multilingual Medicine: Model, Dataset, Benchmark, Code

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

👨🏻‍💻Github •📃 Paper • 🌐 Demo • 🤗 ApolloCorpus • 🤗 XMedBench
中文 | English

🌈 Update

[2024.02.12] ApolloCorpus and XMedBench is published！🎉
[2024.01.23] Apollo repo is published！🎉

Results

Click to expand

Data: Huge, Diverse, Clean, Multilingual

Usage

Zip File
Data category
- 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}
}
@misc{Apollo,
  title={Apollo, Multilingual Medicine: Model, Dataset, Benchmark, Code},
  author={Xidong Wang, Junyin Chen, Nuo Chen, Yidong Wang, Zhiyi Zhang, Benyou Wang},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/FreedomIntelligence/Apollo}},
}