File size: 1,438 Bytes
1898c49 dfb1292 1898c49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | ---
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
|