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: easi.

Source: Hugging Face Hub (oscarqjh/VLN-CE-R2R_easi). Metadata imported from the dataset’s Hub tags.