IncluSet

A dataset surfacing repository created by researchers at the University of Maryland that catalogs and organizes accessibility datasets — datasets sourced from people with disabilities and older adults. IncluSet was developed to make it easier for AI researchers and practitioners to find and use disability-related data for training, testing, and benchmarking machine learning models. The repository categorizes datasets by community of focus (e.g., vision, hearing, mobility, cognitive), data type (audio, video, text, motion, image), and access method. IncluSet serves as a resource for improving disability representation in AI systems while also highlighting the ethical complexities of collecting and sharing data from disabled communities.