| --- |
| pretty_name: RoboCombine Dataset |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - robotics |
| - reinforcement-learning |
| tags: |
| - robot-manipulation |
| - compositional-generalization |
| - vision-language-action |
| - benchmark |
| - simulation |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/RoboCombine_episodes.parquet |
| --- |
| |
| # RoboCombine Dataset |
|
|
| RoboCombine is a compositional robot-manipulation dataset release. The Dataset |
| Viewer split is backed by `data/RoboCombine_episodes.parquet`, an episode-level |
| manifest with 950 rows for 19 tasks x 50 episodes. |
|
|
| The release archives remain available for reproducibility: |
|
|
| - `RoboCombine_eval_repo-0.1.0.tar.gz`: evaluation repository, task specification, metadata, and runner code. |
| - `RoboCombine_data-0.1.0.tar.gz`: optional HDF5 trajectories, scene metadata, seeds, and MP4 previews. |
|
|
| The manifest uses task identifiers, instructions, relative artifact paths, |
| and frame counts. It does not contain private logs, |
| model checkpoints, or local filesystem paths. |
|
|
| Scale summary: |
|
|
| - 19 tasks |
| - 50 episodes per task |
| - 950 total episodes |
| - 285806 total recorded frames |
|
|
| Croissant metadata is available through the Hugging Face `/croissant` endpoint after the |
| Dataset Viewer processes the Parquet manifest. A repository-local copy is also provided at |
| `metadata/croissant.jsonld`. |
|
|
| Repository id: `AutoLab-SJTU/RoboCombine`. |
|
|
| ## License |
|
|
| The dataset contents in this repository, including the episode manifest, |
| metadata, and release archives, are released under `CC-BY-4.0`. Code shipped |
| inside the evaluation archive retains its own bundled `MIT` license notice. |
| Third-party assets, simulators, checkpoints, and interfaces referenced by the |
| release archives remain subject to their original upstream licenses. |
|
|
