nuReasoning is a reasoning-centric multimodal autonomous driving dataset for evaluating and training end-to-end driving systems in long-tail real-world scenarios.
Each sample is built around a driving clip with synchronized multi-camera images, LiDAR data, ego state, object annotations, HD map, routing, and frame-level reasoning annotations.
Reasoning annotations are organized into three complementary fields:
