Eric-Valyu/valyu-test

News

• [2024/07/01]: We add annotations for 'body_part' and 'modality' of images, utilizing the HuatuoGPT-Vision-7B model.

PubMedVision

PubMedVision is a large-scale medical VQA dataset. We extracted high-quality image-text pairs from PubMed and used GPT-4V to reformat them to enhance their quality.

PubMedVision significantly improves the multimodal capabilities of MLLMs in the medical field. For more details, refer to our paper and github.

Data Volume

PubMedVision contains 1.3 million medical VQAs, divided into Alignment VQA and Instruction Tuning VQA:

Data	# Data
PubMedVision_Alignment_VQA	647,031
PubMedVision_InstructionTuning_VQA	647,031
Total	1,294,062

Image Data

images_*.zip contains the compressed image data. You can unzip these images using the following code:

for ((i=0; i<20; i++))
do
    unzip -j images_$i.zip -d images/ & # wait patiently, it takes a while...
done

Citation

If you find our data useful, please consider citing our work! We are FreedomIntelligence from Shenzhen Research Institute of Big Data and The Chinese University of Hong Kong, Shenzhen

@misc{chen2024huatuogptvisioninjectingmedicalvisual,
      title={HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale}, 
      author={Junying Chen and Ruyi Ouyang and Anningzhe Gao and Shunian Chen and Guiming Hardy Chen and Xidong Wang and Ruifei Zhang and Zhenyang Cai and Ke Ji and Guangjun Yu and Xiang Wan and Benyou Wang},
      year={2024},
      eprint={2406.19280},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2406.19280}, 
}