VQA-Dataset / README.md
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metadata
dataset_info:
  features:
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: image_id
      dtype: string
    - name: label
      dtype: int64
  splits:
    - name: train
      num_bytes: 700662
      num_examples: 9974
    - name: test
      num_bytes: 174412
      num_examples: 2494
  download_size: 299109
  dataset_size: 875074
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
language:
  - en
tags:
  - VQA
pretty_name: 'VQA '
size_categories:
  - 100K<n<1M

The dataset is available at: https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/vision-and-language/visual-turing-challenge/

image/png

@INPROCEEDINGS{malinowski2014nips,
 author = {Malinowski, Mateusz and Fritz, Mario},
 title = {A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input},
 booktitle = {Advances in Neural Information Processing Systems 27},
 editor = {Z. Ghahramani and M. Welling and C. Cortes and N.D. Lawrence and K.Q. Weinberger},
 pages = {1682--1690},
 year = {2014},
 publisher = {Curran Associates, Inc.},
 url = {http://papers.nips.cc/paper/5411-a-multi-world-approach-to-question-answering-about-real-world-scenes-based-on-uncertain-input.pdf}
}