| # 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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|
