The Talk2Car dataset is an object reference dataset that contains commands written in natural language for self-driving cars, that is, passengers can give commands to self-driving cars by speaking. The Talk2Car dataset is built on the nuScenes dataset and includes a wide set of sensor modalities, namely semantic maps, GPS, LiDAR, radar, and 360° RGB images with 3D bounding box annotations.

The dataset was published by KU Leuven in Belgium.