DreamDojo GR-1 post-training data
Description
The public DreamDojo package provides 74.3 GB and roughly 7.55 million rows of real Fourier GR-1 manipulation data plus evaluation sets for adapting and testing a robot world model. It contains RGB sequences, robot state, relative actions, end-effector information, task descriptions, and coarse and fine human-action annotations for object pickup, placement, transfer, and other interactions. The release is specifically for target-embodiment post-training and evaluation; it does not contain DreamDojo’s separate 44K-hour human-video pretraining corpus.
License
CC BY-NC 4.0.*
* Double-check the publisher's current license and usage terms before using this dataset.