---
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.