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In RxR dataset (which is based on graph environment), they provide 'pose_trace' data which includes 'text_mask' that points out what words the agent saw in specific viewpoint. I am curious whether the 'instruction_id' in RxR exactly matches with 'instruction_id' in RxR-CE, which enable us to use the 'pose_trace' data based on your RxR-CE dataset
The text was updated successfully, but these errors were encountered:
The instruction_id in RxR-Habitat matches to the instruction_id in RxR, so linking a pose trace to an RxR-Habitat episode should be as easy as that for Guide annotations. For Follower annotations, the pose traces can be matched using demonstration_id which matches to the RxR demonstration_id.
Its worth noting that the poses in the pose matrices do not map perfectly to the continuous environment node locations in the reference_path. This is due to adjusting the locations of some nodes while porting the dataset so they can be navigated to in the continuous environment.
Hello,
In RxR dataset (which is based on graph environment), they provide 'pose_trace' data which includes 'text_mask' that points out what words the agent saw in specific viewpoint. I am curious whether the 'instruction_id' in RxR exactly matches with 'instruction_id' in RxR-CE, which enable us to use the 'pose_trace' data based on your RxR-CE dataset
The text was updated successfully, but these errors were encountered: