{"url":"/dataset/3d-shapes-dataset","name":"3D Shapes Dataset","full_name":null,"description_markdown":"3dshapes is a dataset of 3D shapes procedurally generated from 6 ground truth independent latent factors. These factors are floor colour, wall colour, object colour, scale, shape and orientation.\r\n\r\nSource: [3D Shapes Dataset ](https://github.com/deepmind/3d-shapes)","description_withheld":null,"homepage":"https://github.com/deepmind/3d-shapes","introduced_date":"2018-02-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/disentangling-by-factorising","title":"Disentangling by Factorising","first_author":"Hyunjik Kim","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Disentanglement","url":"/task/disentanglement","datasets_with_task":"/datasets/task/disentanglement"}],"languages":[],"variants":["3D Shapes Dataset"],"data_loaders":[{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/shapes3d","frameworks":["tf","jax"]},{"repo":"https://github.com/deepmind/3d-shapes","url":"https://github.com/deepmind/3d-shapes","frameworks":[]},{"repo":"https://github.com/nmichlo/disent","url":"https://github.com/nmichlo/disent","frameworks":["pytorch"]}],"num_papers_in_archive":33,"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":"2026-09-24T18:15:14+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."}