mission_id stringclasses 10
values | series int64 1 1 | pref_type stringclasses 6
values | pref_canonical stringclasses 8
values | task stringclasses 9
values | hdf5_file stringclasses 10
values | num_episodes int64 100 100 | size_gb float64 3.43 13.6 |
|---|---|---|---|---|---|---|---|
1-1_004 | 1 | speed_range | Speed up | put alphabet soup and cream cheese in basket | demos/Mission_1-1_004.hdf5 | 100 | 7.72 |
1-1_006 | 1 | speed_range | Speed up | put both the cream cheese box and the butter in the basket | demos/Mission_1-1_006.hdf5 | 100 | 9.31 |
1-2_113 | 1 | speed_range | Slow down | pick up the butter and place it in the basket | demos/Mission_1-2_113.hdf5 | 100 | 13.6 |
1-3_107 | 1 | max_acc | Avoid sudden acceleration | put the cream cheese in the bowl | demos/Mission_1-3_107.hdf5 | 100 | 3.43 |
1-3_109 | 1 | max_acc | Avoid sudden acceleration | put the wine bottle on top of the cabinet | demos/Mission_1-3_109.hdf5 | 100 | 3.75 |
1-4_034 | 1 | avoid_object | Keep away from wine bottle | put the black bowl in the bottom drawer of the cabinet | demos/Mission_1-4_034.hdf5 | 100 | 5.73 |
1-5_114 | 1 | height_offset | Close to ground when moving | pick up the chocolate pudding and place it in the basket | demos/Mission_1-5_114.hdf5 | 100 | 7.44 |
1-6_105 | 1 | straight_path | Move straight | put the bowl on the stove | demos/Mission_1-6_105.hdf5 | 100 | 3.52 |
1-7_104 | 1 | height_offset | Move higher | put the bowl on the plate | demos/Mission_1-7_104.hdf5 | 100 | 4.63 |
1-8_114 | 1 | rotation | Rotate when moving | pick up the chocolate pudding and place it in the basket | demos/Mission_1-8_114.hdf5 | 100 | 6.85 |
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
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