FreedomIntelligence/ApolloCorpus

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="./READMEzh.md"> 中文 </a> | <a href="./README.md"> English </p>

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🌈 Update

• —[2024.03.07] Paper 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>

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</details>

Data: Huge, Diverse, Clean, Multilingual

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Usage

• —Zip File
• —Data category
• —Pretrain:
• —jsonname: {datasource}\{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:
• —jsonname: {datasource}_{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}
}