Datasets:
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0149420 | 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 | # Dataset Sources and Attribution
Worldscape-MoE is a curated multi-control training collection. Files are
renamed with stable hashes and metadata paths are rewritten relative to the
dataset root.
## Camera control
The released camera subset contains 5,000 RealEstate10K (RE10K) samples paired
with processed 81-frame camera trajectories.
- Project: https://google.github.io/realestate10k/
- Paper: https://arxiv.org/abs/1810.00444
Please cite RealEstate10K when using the camera subset and follow the upstream
dataset's source and usage terms.
## Dual-arm control
The dual-arm subset contains robot videos and aligned 14-dimensional joint
actions curated for Worldscape-MoE.
## Hand/action-map control
The action-map subset contains target videos paired with dense interaction
control videos curated for Worldscape-MoE.
## LIBERO single-arm control
The LIBERO subset contains deterministic training windows derived from LIBERO
robot-manipulation trajectories.
- Project: https://github.com/Lifelong-Robot-Learning/LIBERO
- Paper: https://arxiv.org/abs/2306.03310
LIBERO project attribution is retained for this derived subset.
## Worldscape-MoE release
The released selection, metadata normalization, path rewriting, deduplication,
and action-window construction were produced for Worldscape-MoE by
EmbodiedCity. Cite the Worldscape-MoE repository when using this packaged
collection:
https://github.com/EmbodiedCity/Worldscape-MoE.code
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