--- license: apache-2.0 task_categories: - robotics pretty_name: ARX Red Cube YuHai HDF5 Dataset size_categories: - n<1K tags: - robotics - arx - teleoperation - hdf5 - visuomotor --- # ARX Red Cube YuHai HDF5 Dataset This dataset contains ARX-X5 left-arm single-arm teleoperation episodes for a red cube manipulation task. Each episode is stored as one HDF5 file. https://huggingface.co/datasets/Xia-2004/red_cube ## Files - `episode_000000.hdf5` ... `episode_000200.hdf5` - 201 episodes - 42,165 total frames - RGB images are stored as `uint8` - Actions are stored as `float32` ## HDF5 Format Each `episode_*.hdf5` contains: | Key | Shape | Dtype | Meaning | | --- | --- | --- | --- | | `action` | `(T, 5)` | `float32` | Delta end-effector action for each frame | | `timestamp` | `(T,)` | `float64` | Collection timestamp for each frame | | `pixels/camera_third` | `(T, 224, 224, 3)` | `uint8` | Third-person RGB camera frames | | `goal_pixels/camera_third` | `(224, 224, 3)` | `uint8` | Final goal image from `camera_third` | | `observations/pixels/camera_third` | soft link | - | Link to `pixels/camera_third` | The action columns are: ```text [dx, dy, dz, dyaw, d_gripper] ``` where: - `dx`, `dy`, `dz`: delta end-effector translation - `dyaw`: delta end-effector yaw - `d_gripper`: delta gripper command The HDF5 attribute `action_order` also records this column order. ## Python Loading Example ```python import h5py path = "episode_000000.hdf5" with h5py.File(path, "r") as f: actions = f["action"][:] camera_third = f["pixels/camera_third"][:] goal_camera_third = f["goal_pixels/camera_third"][:] print(actions.shape) print(camera_third.shape) print(goal_camera_third.shape) ``` ## Download Install the Hugging Face Hub CLI: ```bash pip install -U huggingface_hub ``` Download the full dataset: ```bash huggingface-cli download Xia-2004/red_cube \ --repo-type dataset \ --local-dir ./red_cube ``` Or with Python: ```python from huggingface_hub import snapshot_download snapshot_download( repo_id="Xia-2004/red_cube", repo_type="dataset", local_dir="./red_cube", ) ```