FreedomIntelligence/HuatuoGPT2-Pretraining-Instruction

Dataset

13

stars

11

commits

2

linked in READMEs

Jun 25, 2024

updated

biology
medical
Browse cluster: Biomedical Data and Multimodal Learning

README

HuatuoGPT2-Pretraining-Instruction-5200K

Here are the pre-training instructions for HuatuoGPT-II, developed with 5.2 million medical corpus using ChatGPT.

This dataset is used to incorporate extensive medical knowledge and enable a one-stage medical adaptation. All our data have been made publicly accessible.

Data Volume

The following table details the volume and distribution of pre-training data for HuatuoGPT2:

Data SourceData Volume
Medical_Web_Corpus_cn640,621
Medical_Web_Corpus_en394,490
Medical_Literature_cn177,261
Medical_Literature_en878,241
Medical_Encyclopedia_cn411,183
Medical_Encyclopedia_en147,059
Medical_Books_cn1,835,931
Medical_Books_en801,522
Total5,286,308

Repository

Citations

@misc{chen2023huatuogptii,
      title={HuatuoGPT-II: One-Stage Training for Medical Adaptation of Large Language Models}, 
      author={Junying Chen, Xidong Wang, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, and Benyou Wang},
      year={2023},
      eprint={2311.09774},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{huatuogpt-2023,
  title={HuatuoGPT: Pioneering the Integration of Medical Expertise into Language Models},
  author={Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, and Haizhou Li},
  journal={arXiv preprint arXiv:2305.15075},
  year={2023}
}

Contributors

jymcc

11 commits

FreedomIntelligence/HuatuoGPT2-Pretraining-Instruction

Dataset

13

stars

11

commits

2

linked in READMEs

Jun 25, 2024

updated

biology
medical
Browse cluster: Biomedical Data and Multimodal Learning

README

HuatuoGPT2-Pretraining-Instruction-5200K

Here are the pre-training instructions for HuatuoGPT-II, developed with 5.2 million medical corpus using ChatGPT.

This dataset is used to incorporate extensive medical knowledge and enable a one-stage medical adaptation. All our data have been made publicly accessible.

Data Volume

The following table details the volume and distribution of pre-training data for HuatuoGPT2:

Data SourceData Volume
Medical_Web_Corpus_cn640,621
Medical_Web_Corpus_en394,490
Medical_Literature_cn177,261
Medical_Literature_en878,241
Medical_Encyclopedia_cn411,183
Medical_Encyclopedia_en147,059
Medical_Books_cn1,835,931
Medical_Books_en801,522
Total5,286,308

Repository

Citations

@misc{chen2023huatuogptii,
      title={HuatuoGPT-II: One-Stage Training for Medical Adaptation of Large Language Models}, 
      author={Junying Chen, Xidong Wang, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, and Benyou Wang},
      year={2023},
      eprint={2311.09774},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{huatuogpt-2023,
  title={HuatuoGPT: Pioneering the Integration of Medical Expertise into Language Models},
  author={Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, and Haizhou Li},
  journal={arXiv preprint arXiv:2305.15075},
  year={2023}
}

Contributors

jymcc

11 commits