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Visual Question Generation dataset

We introduce this dataset in order to support the novel task of Visual Question Generation (VQG), where, given an image, the system should ‘ask a natural and engaging question’. This dataset can be used to support research on common sense reasoning and compute-human conversational systems.

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  • Version:

    1.0

    Date Published:

    7/15/2024

    File Name:

    Visual_Question_Generation_dataset_1.0.zip

    File Size:

    1.7 MB

    This dataset is described in http://aclanthology.info/papers/generating-natural-questions-about-an-image. The dataset is comprised of 9 csv’s, organized first by the source of the image, Bing, MSCOCO, or Flickr, then by type of dataset, train, dev and test. Within each file, we organize by image_id, the link to the image, and the up to 5 natural questions authored by crowdworkers on Amazon Mechnical Turk in response to the image. Please be sure to maintain these files separately in order to report system accuracy and progress on dev and test sets. For the Bing images, the dataset includes up to 5 captions for each image link; captions for the COCO and Flickr images are available elsewhere. In addition, each of the test set files includes the human rating of the question necessary to compute the deltaBleu score (see http://aclanthology.info/papers/deltableu-a-discriminative-metric-for-generation-tasks-with-intrinsically-diverse-targets).
  • Supported Operating Systems

    Windows 10

    • Windows 10
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