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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01fq977z011
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dc.contributor.authorMondal, Shanka Subhra-
dc.contributor.authorWebb, Taylor-
dc.contributor.authorCohen, Jonathan-
dc.date.accessioned2023-03-01T14:55:29Z-
dc.date.available2023-03-01T14:55:29Z-
dc.date.created2023-02-24-
dc.date.issued2023-03-01-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01fq977z011-
dc.identifier.urihttps://doi.org/10.34770/n42z-hb72-
dc.identifier.urihttps://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fn42z-hb72%2F-
dc.descriptionDownload 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).en_US
dc.description.abstractA 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)).en_US
dc.description.tableofcontentsREADME.txt, CLEVR_RPM.zipen_US
dc.language.isoen_USen_US
dc.publisherPrinceton Universityen_US
dc.rightsCC-BY 4.0en_US
dc.subjectCLEVR, RPM, abstract visual reasoningen_US
dc.titleCLEVR-Matricesen_US
dc.typeDataseten_US
pu.projectgrantnumberPRINU-24400-G0002-10005089-101-
Appears in Collections:Research Data Sets

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