Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 49, in _split_generators
import h5py
ModuleNotFoundError: No module named 'h5py'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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:
[dx, dy, dz, dyaw, d_gripper]
where:
dx,dy,dz: delta end-effector translationdyaw: delta end-effector yawd_gripper: delta gripper command
The HDF5 attribute action_order also records this column order.
Python Loading Example
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:
pip install -U huggingface_hub
Download the full dataset:
huggingface-cli download Xia-2004/red_cube \
--repo-type dataset \
--local-dir ./red_cube
Or with Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Xia-2004/red_cube",
repo_type="dataset",
local_dir="./red_cube",
)
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