datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SID-VLN Datasets of Learning Goal-Oriented Language-Guided Navigation with Self-Improving Demonstrations at Scale.
VLN-CE-R2R_easi
VLN-CE R2R Dataset for EASI
Vision-and-Language Navigation in Continuous Environments (VLN-CE) Room-to-Room
(R2R) benchmark, repackaged for the EASI
evaluation framework.
Task
An agent receives a natural language navigation instruction and must navigate
through a Matterport3D indoor environment to reach a goal location. The agent
uses discrete actions: STOP, MOVE_FORWARD (0.25m), TURN_LEFT (15 deg),
TURN_RIGHT (15 deg).
Success is measured when the agent stops within 3.0m… See the full description on the dataset page: https://huggingface.co/datasets/oscarqjh/VLN-CE-R2R_easi.VLN-CE-RxR_easi
VLN-CE RxR Dataset for EASI
Vision-and-Language Navigation in Continuous Environments (VLN-CE)
Room-across-Room (RxR) benchmark, repackaged for the
EASI evaluation framework.
Task
An agent receives a natural language navigation instruction (in English,
Hindi, or Telugu) and must navigate through a Matterport3D indoor environment
to reach a goal location. The agent uses discrete actions: STOP,
MOVE_FORWARD (0.25m), TURN_LEFT (30 deg), TURN_RIGHT (30 deg),
LOOK_UP (30 deg)… See the full description on the dataset page: https://huggingface.co/datasets/oscarqjh/VLN-CE-RxR_easi.VLN_Waypoint