RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification

RGC-BENT is a new machine learning dataset for classifying bent radioactive galactic nuclei (AGN) into Narrow-Angle Tail (NAT) and Wide-Angle Tail (WAT) categories. Derived from a recognized radio astronomy survey, this dataset provides images and benchmark results from state-of-the-art deep learning models. Detailed data processing steps are described in the accompanying publication. This dataset aims to advance research in bent AGN classification.