---
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](https://github.com/), 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.