---
license: cc-by-4.0
language:
- en
tags:
- robotics
- manipulation
- preference
- LIBERO
size_categories:
- n<1K
configs:
- config_name: missions
  data_files:
  - split: train
    path: metadata.csv
---

# Anonymous Submission — Series 1 (Motion Preference) demos

10 LIBERO missions × 100 successful scripted-policy rollouts each, stored as
HDF5 under `demos/Mission_<id>.hdf5`. The viewer below lists per-mission
metadata (preference axis, task instruction, file size, episode count); the
actual trajectory data is in the HDF5 files.

## Quick-inspect samples (< 4 GB each)

For reviewers who want a fast look without downloading the full 62 GB:

| Mission | Preference | Size |
|---------|------------|------|
| `Mission_1-3_107.hdf5` | Avoid sudden acceleration | 3.43 GB |
| `Mission_1-6_105.hdf5` | Move straight             | 3.52 GB |
| `Mission_1-3_109.hdf5` | Avoid sudden acceleration | 3.75 GB |

Pull just one with:
```bash
hf download AnonymousSubmissionAccount/AnonymousSubmission \
    --repo-type dataset --include "demos/Mission_1-3_107.hdf5" --local-dir ./sample
```

## Loading

```python
import h5py
with h5py.File("demos/Mission_1-1_004.hdf5", "r") as f:
    print(list(f["data"].keys()))               # 100 episode keys
    ep0 = f["data/demo_0"]
    print(ep0["actions"].shape, ep0["obs/agentview_rgb"].shape)
```

## Code & full benchmark

https://github.com/AnonymousSubmissionAccount328/PlacehHolder328