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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

Apollo

🌈 Update

  • [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

Apollo

Dataset & Evaluation

  • Dataset 🤗 ApolloCorpus

    Click to expand

    Apollo

    • Zip File
    • Data category
      • Pretrain:
        • data item:
          • 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_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",
      ...
    ],
    ...
  ]

  • Evaluation 🤗 XMedBench

    Click to expand

    • EN:

      • MedQA-USMLE
      • MedMCQA
      • PubMedQA: Because the results fluctuated too much, they were not used in the paper.
      • MMLU-Medical
        • Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine

    • ZH:

      • MedQA-MCMLE
      • CMB-single: Not used in the paper
        • Randomly sample 2,000 multiple-choice questions with single answer.
      • CMMLU-Medical
        • Anatomy, Clinical_knowledge, College_medicine, Genetics, Nutrition, Traditional_chinese_medicine, Virology
      • CExam: Not used in the paper
        • Randomly sample 2,000 multiple-choice questions

    • ES: Head_qa

    • FR: Frenchmedmcqa

    • HI: MMLU_HI

      • Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine

    • AR: MMLU_Ara

      • Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine

Results reproduction

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Waiting for Update

Citation

Please use the following citation if you intend to use our dataset for training or evaluation:

@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}},
}