DShuttleNet: A Badminton Doubles Dataset for Evaluating Team Coordination
DShuttleNet is a new dataset for badminton doubles featuring expert-labeled 'Loss Reasons' to help diagnose tactical play. It includes synchronized spatial data, geometry metrics like TRA and VSA, and coordination indices like CCEI and TLAI. This allows AI models to understand team synergy and predict rally outcomes based on how players are positioned.