RFW stands for Racial Faces in-the-Wild, which is a test dataset used to study racial bias in face recognition. The dataset includes four test subsets, namely Caucasians, Asians, Indians, and Africans. Each subset contains about 3,000 individuals and 6,000 pairs of images for face verification, which can be used to fairly evaluate and compare the recognition capabilities of algorithms for different races.