VLN-CE (Vision-and-Language Navigation in Continuous Environments)

Introduced by Krantz et al. in Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

Vision and Language Navigation in Continuous Environments (VLN-CE) is an instruction-guided navigation task with crowdsourced instructions, realistic environments, and unconstrained agent navigation. The dataset consists of 4475 trajectories converted from Room-to-Room train and validation splits. For each trajectory, multiple natural language instructions from Room-to-Room and a pre-computed shortest path are provided following the waypoints via low-level actions.


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