A benchmark-ready Spatio-Temporal Point Process (STPP) dataset derived from Uber Pickups (NYC) (~4.5 Million records), following the standard split semantics for Neural STPP evaluation.
Each record represents a sequence of events. The dataset covers historical Uber pickups across NYC, partitioned sequentially into train / val / test subsets (70% / 15% / 15% ratio).
