{"url":"/dataset/geometricshapes14k","name":"geometricShapes14k","full_name":"Images made up of geometric shapes - ControlNet","description_markdown":"The dataset was curated from the 1% data sample file of the Wikipedia-based Image Text (WIT) Dataset. Captions for images were generated using the BLIP model. Control images were derived using the Primitive software, resulting in a dataset of 14,279 pairs of control and target images with captions.","description_withheld":null,"homepage":"","introduced_date":"2024-04-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/abstract-art-interpretation-using-controlnet","title":"Abstract Art Interpretation Using ControlNet","first_author":"Rishabh Srivastava","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"}],"languages":[],"variants":["geometricShapes14k"],"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":"2026-09-24T18:15:14+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."}