FreedomIntelligence/ApolloCorpus

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

• [2024.03.07] Paper released.
• [2024.02.12] ApolloCorpus and XMedBench is published！🎉
• [2024.01.23] Apollo repo is published！🎉

Results

Apollo-0.5B • 🤗 Apollo-1.8B • 🤗 Apollo-2B • 🤗 Apollo-6B • 🤗 Apollo-7B

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}
}