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 "/src/services/worker/src/worker/job_runners/config/split_names.py", line 159, in compute
                  compute_split_names_from_info_response(
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 131, in compute_split_names_from_info_response
                  config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config)
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 567, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 119, in _split_generators
                  analyze(archives, downloaded_dirs, split_name)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 73, in analyze
                  if os.path.isfile(downloaded_files_or_dirs[0]):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1024, in xisfile
                  fs, *_ = url_to_fs(path, **storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
                  self._RealGetContents()
                File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData
                  return _EndRecData64(fpin, -sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported
              
              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 75, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, 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.

Dataset Card for VR-Folding Dataset

Dataset Summary

VR-Garment This is the VR-Folding dataset created by the CVPR 2023 paper GarmentTracking: Category-Level Garment Pose Tracking. This dataset is recorded with a system called VR-Garment, which is a garment-hand interaction environment based on Unity.

To download the dataset, use the following shell snippet:

git lfs install
git clone https://huggingface.co/datasets/robotflow/garment-tracking
# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var: GIT_LFS_SKIP_SMUDGE=1

# merge multiple .zip files (e.g. folding) into one .zip file
cd data/folding
cat folding_dataset.z*  > folding_dataset.zip
# unzip
unzip folding_dataset.zip

All the data are stored in zarr format.

Dataset Structure

Here is the detailed stucture of a data example (zarr format) of one frame:

00068_Tshirt_000000_000000
 β”œβ”€β”€ grip_vertex_id
 β”‚   β”œβ”€β”€ left_grip_vertex_id (1,) int32
 β”‚   └── right_grip_vertex_id (1,) int32
 β”œβ”€β”€ hand_pose
 β”‚   β”œβ”€β”€ left_hand_euler (25, 3) float32
 β”‚   β”œβ”€β”€ left_hand_pos (25, 3) float32
 β”‚   β”œβ”€β”€ right_hand_euler (25, 3) float32
 β”‚   └── right_hand_pos (25, 3) float32
 β”œβ”€β”€ marching_cube_mesh
 β”‚   β”œβ”€β”€ is_vertex_on_surface (6410,) bool
 β”‚   β”œβ”€β”€ marching_cube_faces (12816, 3) int32
 β”‚   └── marching_cube_verts (6410, 3) float32
 β”œβ”€β”€ mesh
 β”‚   β”œβ”€β”€ cloth_faces_tri (8312, 3) int32
 β”‚   β”œβ”€β”€ cloth_nocs_verts (4434, 3) float32
 β”‚   └── cloth_verts (4434, 3) float32
 └── point_cloud
     β”œβ”€β”€ cls (30000,) uint8
     β”œβ”€β”€ nocs (30000, 3) float16
     β”œβ”€β”€ point (30000, 3) float16
     β”œβ”€β”€ rgb (30000, 3) uint8
     └── sizes (4,) int64

Specifically, we render 4-view RGB-D images with Unity and generate concated point clouds for each frame. Here grip_vertex_id is the vertex index list of the grasped points of the mesh.

Dataset Example

Please see example for example data and visualization scripts. Here are two video examples for flattening and folding task. flattening folding

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