metadata
license: mit
task_categories:
- robotics
tags:
- robotics
- robomme
- manipulation
- memory
- imitation-learning
- hdf5
size_categories:
- n<1K
RoboMME — SequenceRecoveryVertically (Robot HDF5 Demonstrations)
Raw robot demonstration data for the SequenceRecoveryVertically task from RoboMME, a ManiSkill/SAPIEN benchmark for memory-augmented robotic manipulation. Each HDF5 file is one recorded episode containing observations (RGB/state), actions, and metadata for imitation learning.
Layout
train/ 100 episodes
val/ 50 episodes
test/ 50 episodes
Files are named episode_<idx>_seed_<seed>.h5. Seeds are baked into the
RoboMME metadata for reproducibility. See doc/h5_data_format.md in the RoboMME
repository for the full dataset schema.