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Download and unpack the samples from either Hugging Face or ModelScope into examples/data/.

Hugging Face

pip install -U huggingface_hub

hf download D-Robotics/Uranus-Demo-Data \
    --repo-type dataset \
    --local-dir ./examples/data

ModelScope

pip install -U modelscope

modelscope download \
    --dataset D-Robotics/Uranus-Demo-Data \
    --local_dir ./examples/data

Each episode lands in ./examples/data/<episode_id>/ and can be passed directly to main.py --sample-dir.

Each sample is a self-contained "XML-environment" directory:

sample_dir/
β”œβ”€β”€ meta.json            # prompt, cameras, mjcf_path, end_effectors, skeleton, fps
β”œβ”€β”€ temporal.json        # step_qpos: [{state, robot2world_transform}, ...]
β”œβ”€β”€ mjcf/
β”‚   └── <robot>.xml      # robot MJCF with baked-in camera calibration & mounts
β”œβ”€β”€ ref_images/
β”‚   └── <camera>.png     # one reference image per camera
└── gt/
    └── <camera>.mp4     # ground-truth video per camera

Your own robot data can be converted into this same format and fed to inference as well, as long as it provides the per-frame qpos, the robot MJCF with calibrated cameras, and one reference image per camera.

Dataset Licenses

The Apache-2.0 license declared for this repository applies only to the original code and materials released by this project. Samples derived from third-party datasets remain subject to their respective upstream licenses and terms of use.

Source dataset License Source
AgiBot World 2026 CC BY-NC-SA 4.0 Dataset page
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DROID Apache License 2.0 Dataset website
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