CoolFace
Datasetpublic

D-Robotics/Uranus-Demo-Data

Download 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… See the full description on the dataset page: https://huggingface.co/datasets/D-Robotics/Uranus-Demo-Data.

sourceHugging Faceapache-2.0updated 2d agoView on Hugging Face
0likes1.4kdownloads
README.md57 linesDownload Raw Back to root
1---2license: apache-2.03---4## Download5 6Download and unpack the samples from either [Hugging Face](https://huggingface.co/datasets/D-Robotics/Uranus-Demo-Data) or [ModelScope](https://modelscope.cn/datasets/D-Robotics/Uranus-Demo-Data) into `examples/data/`.7 8### Hugging Face9 10```bash11pip install -U huggingface_hub12 13hf download D-Robotics/Uranus-Demo-Data \14    --repo-type dataset \15    --local-dir ./examples/data16```17 18### ModelScope19 20```bash21pip install -U modelscope22 23modelscope download \24    --dataset D-Robotics/Uranus-Demo-Data \25    --local_dir ./examples/data26```27 28Each episode lands in `./examples/data/<episode_id>/` and can be passed directly to `main.py --sample-dir`.29 30Each sample is a self-contained "XML-environment" directory:31 32```33sample_dir/34├── meta.json            # prompt, cameras, mjcf_path, end_effectors, skeleton, fps35├── temporal.json        # step_qpos: [{state, robot2world_transform}, ...]36├── mjcf/37│   └── <robot>.xml      # robot MJCF with baked-in camera calibration & mounts38├── ref_images/39│   └── <camera>.png     # one reference image per camera40└── gt/41    └── <camera>.mp4     # ground-truth video per camera42```43 44Your 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.45 46## Dataset Licenses47 48The 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.49 50| Source dataset | License | Source |51| --- | --- | --- |52| AgiBot World 2026 | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) | [Dataset page](https://huggingface.co/datasets/agibot-world/AgiBotWorld2026) |53| AgiBot World Beta | [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) | [Dataset page](https://huggingface.co/datasets/agibot-world/AgiBotWorld-Beta) |54| DROID | [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) | [Dataset website](https://droid-dataset.github.io/droid/the-droid-dataset.html) |55| RoboChallenge Table30 | - | [Dataset page](https://huggingface.co/datasets/RoboChallenge/Table30) |56| RoboChallenge Table30 v2 | - | [Dataset page](https://huggingface.co/datasets/RoboChallenge/Table30v2) |57