ABC, short for A Big CAD Model, is a dataset of 1 million computer-aided design (CAD) models used to study geometric deep learning methods and applications. Each model contains explicitly parameterized curves and surfaces, providing a basis for differential components, patch segmentation, geometric feature detection, and shape reconstruction. We sample the parametric descriptions of surfaces and curves to generate data in different formats and resolutions, providing a fair comparison for various geometric learning algorithms.