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--- |
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license: apache-2.0 |
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configs: |
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- config_name: pretrain_text |
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data_files: |
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- split: medicalBook_en |
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path: train/pretrain/medicalBook_en_text.json |
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- split: medicalBook_zh |
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path: train/pretrain/medicalBook_zh_text.json |
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- split: medicalGuideline_en |
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path: train/pretrain/medicalGuideline_en_text.json |
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- split: medicalPaper_en |
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path: train/pretrain/medicalPaper_en_text.json |
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- split: medicalPaper_es |
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path: train/pretrain/medicalPaper_es_text.json |
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- split: medicalPaper_fr |
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path: train/pretrain/medicalPaper_fr_text.json |
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- split: medicalPaper_zh |
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path: train/pretrain/medicalPaper_zh_text.json |
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- split: medicalWeb_en |
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path: train/pretrain/medicalWeb_en_text.json |
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- split: medicalWeb_es |
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path: train/pretrain/medicalWeb_es_text.json |
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- split: medicalWeb_zh |
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path: train/pretrain/medicalWeb_zh_text.json |
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- split: medicalWiki_en |
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path: train/pretrain/medicalWiki_en_text.json |
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- split: medicalWiki_fr |
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path: train/pretrain/medicalWiki_fr_text.json |
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- split: medicalWiki_hi |
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path: train/pretrain/medicalWiki_hi_text.json |
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--- |
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# Multilingual Medicine: Model, Dataset, Benchmark, Code |
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Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far |
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<p align="center"> |
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👨🏻💻<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> |
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<br> <a href="./README_zh.md"> 中文 </a> | <a href="./README.md"> English |
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</p> |
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![Apollo](assets/apollo_medium_final.png) |
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## 🌈 Update |
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* **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released. |
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* **[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!🎉 |
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* **[2024.01.23]** Apollo repo is published!🎉 |
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## Results |
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<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> |
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<details><summary>Click to expand</summary> |
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![Apollo](assets/result.png) |
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</details> |
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## Data: Huge, Diverse, Clean, Multilingual |
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![Apollo](assets/dataset.png) |
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## Usage |
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- [Zip File](https://huggingface.co/datasets/FreedomIntelligence/Medbase_data/blob/main/Medbase_data-datasets.zip) |
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- [Data category](https://huggingface.co/datasets/FreedomIntelligence/Medbase_data/tree/main/train) |
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- Pretrain: |
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- json_name: {data_source}_\{language}_\{data_type}.json |
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- data_type: medicalBook, medicalGuideline, medicalPaper, medicalWeb(from online forum), medicalWiki |
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- language: en(English), zh(chinese), es(spanish), fr(french), hi(Hindi) |
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- data_type: qa(generated qa from text) |
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- data item: |
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- data_type==text: list of string |
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``` |
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[ |
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"string1", |
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"string2", |
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... |
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] |
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``` |
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- data_type==qa: list of qa pairs(list of string) |
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``` |
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[ |
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[ |
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"q1", |
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"a1", |
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"q2", |
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"a2", |
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... |
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], |
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... |
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] |
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``` |
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- SFT: |
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- json_name: {data_source}_{language}.json |
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- data_type: code, general, math, medicalExam, medicalPatient |
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- data item: list of qa pairs(list of string) |
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``` |
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[ |
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[ |
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"q1", |
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"a1", |
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"q2", |
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"a2", |
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... |
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], |
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... |
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] |
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``` |
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## Citation |
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``` |
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@misc{wang2024apollo, |
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title={Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People}, |
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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}, |
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year={2024}, |
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eprint={2403.03640}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |