We create the ModelNet40-C dataset, which contains 185,100 point clouds from 40 classes, 15 corruption types, and 5 severity levels. We provide a detailed taxonomy of the constructed corruption types. ModelNet40-C is, to the best of our knowledge, the first comprehensive dataset for benchmarking corruption robustness of 3D point cloud classification. This dataset is from our arXiv paper: Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.