| --- |
| 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", |
| ) |
| ``` |
| |