Dataset Collection

The process of gathering, curating, and documenting data used to train, evaluate, or benchmark machine learning systems. In accessibility contexts, dataset collection decisions — who contributes, what objects or scenarios are captured, how quality is assessed, how privacy is protected — directly shape whether downstream AI tools work for disabled users. Disability-first dataset collection centres the needs, expertise, and consent of disabled contributors; cross-geography collection additionally requires adapting protocols for differing devices, connectivity, languages, legal regimes, and material cultures rather than transplanting Global North practices wholesale.