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.
Cloth-splatters/lifting-meshes
Synthetic cloth-lifting trajectories for training graph-based dynamics models. The action sampler picks a single vertex and lifts it vertically while the rest of the cloth deforms under gravity.
Currently only the no-hole cloth subset is published; with-hole variants may be added later.
Used by:
Files
| File | Size | Train / Val cloths | Cameras |
|---|---|---|---|
lift_seed_338.h5 |
540 MB | 30 / 15 | cam_0 |
lift_seed_6438.h5 |
524 MB | — | cam_0 |
Cloth names are of the form cloth_without_hole_<id>.
Schema
Mostly identical to folding-meshes, with one difference: lifting files do
not carry per-cloth rest_positions — only edges and faces. Use
step_0000/positions as the initial flat-cloth state if you need a rest
configuration.
metadata/rendering_parameters/...
training/
<cloth_name>/
edges (E, 2) int32
faces (F, 3) int32
trajectory_<i>/
actuated_vertices (V, 1) float64
goal_vertices (V, 1) float64
step_<n>/
positions (V, 3) float64
velocities (V, 3) float64
gripper_pos (1, 3) float64
pointclouds/cam_0 (N, 3)
images/cam_0 (H, W, 3)
depth/cam_0 (H, W)
segmentation/cam_0 (H, W)
validation/...
Loading
from huggingface_hub import hf_hub_download
path = hf_hub_download(
"Cloth-splatters/lifting-meshes",
filename="lift_seed_338.h5",
repo_type="dataset",
)
License
MIT.
- Downloads last month
- 10