ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image
Paper • 2610.05249 • Published
Dataset Preview
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
usdz unknown | __key__ string | __url__ string |
|---|---|---|
"UEsDBAoAAAAAACtvOV1YKWzyn79RAZ+/UQEWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/024_20260718_210440_object_diverse_08_trellis2_particulate | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAALahOF2WzVfMFwL/ABcC/wAWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/034_20260718_161333_sample_01_trellis2_particulate | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAAGSOF1skLqBwU0+AcFNPgEWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/018_20260718_185729_common_ranked_25_trellis2_particulate | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAMR0OV3Eao4vvTJ3AL0ydwAWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/094_20260727_164703_random_30_25_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAFJ0OV1xzjYJpI9vAaSPbwEWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/090_20260727_163538_random_30_10_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAEZzOV1obD58Ho8CAR6PAgEWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/081_20260725_230622_random_100_66_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAOZ0OV2m0ESVj8+tAI/PrQAWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/093_20260727_164629_random_30_24_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAIZxOV3gOmdct8WyALfFsgAWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/060_20260725_225203_random_100_08_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAEGiOF3Jma6/5N9bAeTfWwEWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | tabletop_simready_final_100_20261001/004_20260721_160204_common_ranked_13_trellis2_mesh2arti | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
"UEsDBAoAAAAAAGWlOF3US3hL5cToAOXE6AAWAAwAaXNhYWNfbG9hZGVkX3NjZW5lLnVzZIYZCAAAAAAAAAAAAFBYUi1VU0RDAAg(...TRUNCATED) | "tabletop_simready_final_100_20261001/026_20260727_175730_planar_support_60_v1_02_trellis2_mesh2arti(...TRUNCATED) | hf://datasets/Yibo8/articutable-100@2caab9402b28cfdc43e9c2338b104985e999371b/articutable_100.tar |
End of preview.
ArticuTable-100
ArticuTable-100 is a collection of 100 simulation-ready tabletop scenes from ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image.
Contents
articutable_100.tar(~20 GB): 100 USDZ scene packages containing rigid and articulated objects.articutable_100.tar.sha256: SHA-256 checksum of the complete archive.
Download and extract
Download the files from the Files and versions tab, or use the Hugging Face CLI:
pip install -U huggingface_hub
hf download Yibo8/articutable-100 articutable_100.tar articutable_100.tar.sha256 --repo-type dataset --local-dir articutable-100
tar -xf articutable-100/articutable_100.tar -C articutable-100
License
This dataset is released under CC BY-NC 4.0, which permits noncommercial use with attribution, subject to the license terms.
Citation
@misc{lv2026articutablegeneratinginstancelevelinteractive,
title={ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image},
author={Kai Lv and Yibo Yin and Lijun Guo and Heng Fan and Kaihao Zhang and Xingping Dong},
year={2026},
eprint={2610.05249},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2610.05249},
}
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