turing-motors/

ACT-Bench

ACT-Bench is a dedicated framework for quantitatively evaluating the action controllability of world models for autonomous driving. It focuses on measuring how well a world model can generate driving scenes conditioned on specified trajectories.

For more details, please refer our paper and code repository.

	Data fields




	

Key Value

sample_id 0

label 'straight_constant_speed/straight_constant_speed_10kmph'

context_frames… See the full description on the dataset page: https://huggingface.co/datasets/turing-motors/ACT-Bench.