{"url":"/dataset/abc-dataset-1","name":"ABC Dataset","full_name":null,"description_markdown":"The **ABC Dataset** is a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collection of explicitly parametrized curves and surfaces, providing ground truth for differential quantities, patch segmentation, geometric feature detection, and shape reconstruction. Sampling the parametric descriptions of surfaces and curves allows generating data in different formats and resolutions, enabling fair comparisons for a wide range of geometric learning algorithms.","description_withheld":null,"homepage":"https://deep-geometry.github.io/abc-dataset/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/abc-a-big-cad-model-dataset-for-geometric","title":"ABC: A Big CAD Model Dataset For Geometric Deep Learning","first_author":"Sebastian Koch","url":null},"license":{"name":"Custom","url":"https://www.onshape.com/en/legal/terms-of-use#your_content"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Single-View 3D Reconstruction","url":"/task/single-view-3d-reconstruction","datasets_with_task":"/datasets/task/single-view-3d-reconstruction"},{"name":"Physical Simulations","url":"/task/physical-simulations","datasets_with_task":"/datasets/task/physical-simulations"},{"name":"Region Proposal","url":"/task/region-proposal","datasets_with_task":"/datasets/task/region-proposal"}],"languages":[],"variants":["ABC Dataset"],"data_loaders":[],"num_papers_in_archive":104,"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."}