STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding
Paper • 2510.14588 • Published
Error code: DatasetGenerationError
Exception: ValueError
Message: Object arrays cannot be loaded when allow_pickle=False
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1568, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 118, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 55, in _get_pipeline_from_tar
current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 299, in npy_loads
return numpy.lib.format.read_array(stream, allow_pickle=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/numpy/lib/_format_impl.py", line 833, in read_array
raise ValueError("Object arrays cannot be loaded when "
ValueError: Object arrays cannot be loaded when allow_pickle=False
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 1450, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
builder._prepare_split(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1447, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1604, 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.
mp4 unknown | __key__ string | __url__ string |
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... | ./seg_video/tmp_ec9f7a00 | hf://datasets/zhifeichen097/STANCE_dataset@175c269bd1e50421eff3e3ee8542e4162279ee68/composite_scene.tar.part-00 |
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... | ./seg_video/tmp_ad824caf | hf://datasets/zhifeichen097/STANCE_dataset@175c269bd1e50421eff3e3ee8542e4162279ee68/composite_scene.tar.part-00 |
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Snapshot: 95k scenes total — 75,000 composite + 20,000 synthetic/simple.
Built with Kubric for short clips of rigid-body interactions.
composite_scene.tar.part-00composite_scene.tar.part-01composite_scene.tar.part-02composite_scene.tar.part-03synthetic_scene.tar
composite_scene.taris split into 4 parts;synthetic_scene.taris a single archive.
Linux / macOS:
cat composite_scene.tar.part-0{0..3} > composite_scene.tar
tar -xf composite_scene.tar
tar -xf synthetic_scene.tar
(Optional) verify:
sha256sum composite_scene.tar synthetic_scene.tar
For detailed information about our work, please visit our project page: https://envision-research.github.io/STANCE/
If you find this work useful, please consider citing our paper and leaving a ⭐ on GitHub: https://github.com/EnVision-Research/STANCE
@article{chen2025stance,
title = {STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding},
author = {Zhifei Chen and Tianshuo Xu and Leyi Wu and Luozhou Wang and Dongyu Yan and Zihan You and Wenting Luo and Guo Zhang and Yingcong Chen},
journal = {arXiv preprint arXiv:2510.14588},
year = {2025}
}
CC BY 4.0 (you may switch to CC BY-NC 4.0 if preferred).
::contentReference[oaicite:0]{index=0}