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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01fq977z011
Title: CLEVR-Matrices
Contributors: Mondal, Shanka Subhra
Webb, Taylor
Cohen, Jonathan
Keywords: CLEVR, RPM, abstract visual reasoning
Issue Date: 1-Mar-2023
Publisher: Princeton University
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)).
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).
URI: http://arks.princeton.edu/ark:/88435/dsp01fq977z011
https://doi.org/10.34770/n42z-hb72
https://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fn42z-hb72%2F
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