metadata
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:
hf download AnonymousSubmissionAccount/AnonymousSubmission \
--repo-type dataset --include "demos/Mission_1-3_107.hdf5" --local-dir ./sample
Loading
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