oscarqjh/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… See the full description on the dataset page: https://huggingface.co/datasets/oscarqjh/VLN-CE-R2R_easi.
| Author / organization | oscarqjh |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 205 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 March 2026 |
| Last updated at source | 7 March 2026 |
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205 now (-45 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: 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 → 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
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