accepted bool | checked_videos int64 | counts dict | errors list |
|---|---|---|---|
true | 105 | {
"baseline": 5,
"clutter": 50,
"obstacle": 50
} | [] |
Isaac Sim from Real
110 MP4 videos: 105 simulated videos and 5 corresponding real recordings from episodes 0, 10, 16, 27, and 36 of the October 20, 2026 UR5e cup-placement dataset.
The simulated set contains 5 baseline replays, 50 clutter augmentations, and 50 obstacle augmentations. Each episode has one baseline, ten clutter variants, and ten obstacle variants. Total MP4 size: 624.7 MB.
| Episode | Real video | Simulated baseline | Augmentations |
|---|---|---|---|
| 0 | Real recording | Baseline | All 21 simulated videos |
| 10 | Real recording | Baseline | All 21 simulated videos |
| 16 | Real recording | Baseline | All 21 simulated videos |
| 27 | Real recording | Baseline | All 21 simulated videos |
| 36 | Real recording | Baseline | All 21 simulated videos |
Contents
real/episodeNNNN.mp4: the corresponding real recording, with wall, wrist, and body-forward views arranged left to right (1920 × 480, 15 fps). All source frames are included. These are viewing exports from the original recordings, not new real-world executions of the augmented tasks.real/episodeNNNN.timestamps.csv: original frame timing; MP4 playback uses the nominal 15 fps recording rate.simulated/episodeNNNN/baseline.mp4: the recorded robot commands replayed in simulation.simulated/episodeNNNN/clutter_00.mp4throughclutter_09.mp4: added tabletop objects with the original recorded commands.simulated/episodeNNNN/obstacle_00.mp4throughobstacle_09.mp4: obstacles requiring changed behavior. Across the set, 17 use detours and 33 clear an obstruction before continuing.- Adjacent JPG files show initial, intermediate, and final frames. Simulated MP4s are 640 × 480 at 15 fps.
manifest.jsonandvideos.csv: file inventory, real/simulation pairing, scenarios, durations, sizes, and SHA-256 hashes.SHA256SUMS: file checksums.
Appearance and provenance
Robot and task objects are rendered 3D models with simulated motion and physical contacts. Room/cart backgrounds use static photographs from the real recordings mapped onto approximate surfaces. The table texture combines observed wood from recordings of the same workcell. The background is not a complete 3D room reconstruction, and novel viewpoints can expose projection errors. The real videos and simulated videos are related source/replay examples, not guaranteed frame-aligned pairs. These five recordings were used for reconstruction and replay; no held-out test split is claimed.
The simulated videos are the completed augmentation_105_realistic_v2_20261022 batch. Its stored automated audit reports 105 accepted videos. Real exports were fully decoded and their frame counts checked against the original HDF5 recordings before upload.
Textured prop sources: Poly Haven. Individual source URLs and source asset licenses are listed in asset_credits.json. Those asset licenses do not assign a license to the real recordings or the entire dataset.
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