CLEVR-Matrices

Mondal, Shanka Subhra; Webb, Taylor; Cohen, Jonathan
Issue date: 1 March 2023
Cite as:
Mondal, Shanka Subhra, Webb, Taylor, & Cohen, Jonathan. (2023). CLEVR-Matrices [Data set]. Princeton University. https://doi.org/10.34770/n42z-hb72
@electronic{mondal_shanka_subhra_2023,
  author      = {Mondal, Shanka Subhra and
                Webb, Taylor and
                Cohen, Jonathan},
  title       = {{CLEVR-Matrices}},
  publisher   = {{Princeton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/n42z-hb72}
}
Abstract:

A dataset of Raven’s Progressive Matrices (RPM)-like problems using realistically rendered 3D shapes, based on source code from CLEVR (a popular visual-question-answering dataset) (Johnson, J., Hariharan, B., Van Der Maaten, L., Fei-Fei, L., Lawrence Zitnick, C., & Girshick, R. (2017). Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2901-2910)).

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Description:

Download the README.txt file for a detailed description of this dataset's content; This dataset is too large to download directly from this item page. You can access and download the data via Globus at this link: [https://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fn42z-hb72%2F] (See https://docs.globus.org/how-to/get-started/ for instructions on how to use Globus; sign-in is required).

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More about this record
Authors Mondal, Shanka Subhra
Webb, Taylor
Cohen, Jonathan
Domains Natural Sciences
Communities Princeton Neuroscience Institute
Collection Tags Research Data Sets
Date Accessioned 1 March 2023
Issue date 1 March 2023
Date Created 24 February 2023
URI http://arks.princeton.edu/ark:/88435/dsp01fq977z011
URI https://doi.org/10.34770/n42z-hb72
URI https://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fn42z-hb72%2F
Table of Contents README.txt, CLEVR_RPM.zip
Language en_US
Publisher Princeton University
Rights CC-BY 4.0
Type Dataset
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