The dataset viewer is not available for this subset.
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/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
Articulate-100
Released data for
ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics
Overview
Articulate-100 is a collection of articulated object instances spanning common household and workspace categories. Each archive contains the assets for one object instance.
Categories represented include boxes, eyeglasses, faucets, folding chairs, knives, laptops, ovens, pens, pliers, refrigerators, storage furniture, suitcases, tables, toilets, trash cans, and windows.
Structure
Each object is distributed as a single .tar archive named
<Category>_<InstanceID>.tar. Extracting an archive yields a directory
<Category>_<InstanceID>/ containing the assets for that instance.
Articulate-100/
├── Box_100129.tar
├── Box_102379.tar
├── Eyeglasses_101293.tar
├── ...
Usage
Download the full dataset:
from huggingface_hub import snapshot_download
local_dir = snapshot_download(
repo_id="ArtMesh/Articulate-100",
repo_type="dataset",
)
Download a single object:
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="ArtMesh/Articulate-100",
repo_type="dataset",
filename="Box_100129.tar",
)
Extract:
tar -xf Box_100129.tar
Source
The object assets are derived from PartNet-Mobility, part of the SAPIEN project. Please consult the original dataset for terms governing use of the underlying assets.
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