xmcmic/PMC-VQA

Dataset

78

stars

15

commits

3

linked in READMEs

Jul 2, 2024

updated

README

PMC-VQA Dataset

Dataset Structure

PMC-VQA (version-1: 227k VQA pairs of 149k images).

  • train.csv: metafile of train set
  • test.csv: metafile of test set
  • test_clean.csv: metafile of test clean set
  • images.zip: images folder

(update version-2: noncompound images).

  • train2.csv: metafile of train set
  • test2.csv: metafile of test set
  • images2.zip: images folder

Sample

A row in train.csv is shown bellow,

Figure_pathPMC1064097_F1.jpg
QuestionWhat is the uptake pattern in the breast?
AnswerFocal uptake pattern
Choice AA:Diffuse uptake pattern
Choice BB:Focal uptake pattern
Choice CC:No uptake pattern
Choice DD:Cannot determine from the information given
Answer_labelB

Explanation to each key

  • Figure_path: path to the image
  • Question: question corresponding to the image
  • Answer: the correct answer corresponding to the image
  • Choice A: the provide choice A
  • Choice B: the provide choice B
  • Choice C: the provide choice C
  • Choice D: the provide choice D
  • Anwser_label: the correct answer label

Dataset License

The papers used for developing PMC-VQA are from the 'Commercial Use Allowed' split of the PMC Open Access Subset. We provide the detailed PubMed Central ID for each paper and corresponding licenses in the supplementary files, which are all under CC0 or CC BY licenses. Our final dataset, PMC-VQA, is under CC BY-SA licenses so that it can be widely used to support the development of medical generative-based VQA models.

Contributors

xmcmic

15 commits

xmcmic/PMC-VQA

Dataset

78

stars

15

commits

3

linked in READMEs

Jul 2, 2024

updated

README

PMC-VQA Dataset

Dataset Structure

PMC-VQA (version-1: 227k VQA pairs of 149k images).

  • train.csv: metafile of train set
  • test.csv: metafile of test set
  • test_clean.csv: metafile of test clean set
  • images.zip: images folder

(update version-2: noncompound images).

  • train2.csv: metafile of train set
  • test2.csv: metafile of test set
  • images2.zip: images folder

Sample

A row in train.csv is shown bellow,

Figure_pathPMC1064097_F1.jpg
QuestionWhat is the uptake pattern in the breast?
AnswerFocal uptake pattern
Choice AA:Diffuse uptake pattern
Choice BB:Focal uptake pattern
Choice CC:No uptake pattern
Choice DD:Cannot determine from the information given
Answer_labelB

Explanation to each key

  • Figure_path: path to the image
  • Question: question corresponding to the image
  • Answer: the correct answer corresponding to the image
  • Choice A: the provide choice A
  • Choice B: the provide choice B
  • Choice C: the provide choice C
  • Choice D: the provide choice D
  • Anwser_label: the correct answer label

Dataset License

The papers used for developing PMC-VQA are from the 'Commercial Use Allowed' split of the PMC Open Access Subset. We provide the detailed PubMed Central ID for each paper and corresponding licenses in the supplementary files, which are all under CC0 or CC BY licenses. Our final dataset, PMC-VQA, is under CC BY-SA licenses so that it can be widely used to support the development of medical generative-based VQA models.

Contributors

xmcmic

15 commits