{"url":"/dataset/simple-shapes-dataset","name":"Simple Shapes Dataset","full_name":null,"description_markdown":"It consists of 32x32 pixel images of shapes with multiple attributes (size, location, rotation, color). Each image is also paired with its ground truth information (attributes), and a natural language description (English) of the image.\r\n\r\nThe dataset is composed of:\r\n    a train set of 500,000 samples,\r\n    a val and a test set of 1000 samples each.\r\n\r\nIt also contains already processed 12-dimensional visual features (from a VAE), and presaved BERT features of the text descriptions.\r\n\r\nLink to dataset: https://zenodo.org/record/8112838","description_withheld":null,"homepage":"","introduced_date":"2023-06-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/semi-supervised-multimodal-representation","title":"Semi-supervised Multimodal Representation Learning through a Global Workspace","first_author":"Benjamin Devillers","url":null},"license":{"name":"CC-BY","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Simple Shapes Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}