The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: BadZipFile
Message: File is not a zip file
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 655, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
~~~~~~~~~~~~~~~~~~~~~~~~~~~^
data_files=data_files,
^^^^^^^^^^^^^^^^^^^^^^
path=self.name,
^^^^^^^^^^^^^^^
download_config=self.download_config,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 309, in infer_module_for_data_files
split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 253, in infer_module_for_data_files_list
return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 280, in infer_module_for_data_files_list_in_archives
f.split("::")[0] for f in xglob(extracted, recursive=True, download_config=download_config)
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1057, in xglob
fs, *_ = url_to_fs(urlpath, **storage_options)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/core.py", line 395, in url_to_fs
fs = filesystem(protocol, **inkwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 293, in filesystem
return cls(**storage_options)
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 80, in __call__
obj = super().__call__(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
~~~~~~~~~~~~~~~^
self.fo,
^^^^^^^^
...<3 lines>...
compresslevel=compresslevel,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1472, in __init__
self._RealGetContents()
~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1537, in _RealGetContents
raise BadZipFile("File is not a zip file")
zipfile.BadZipFile: File is not a zip fileNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset was constructed for paper Towards Intelligent Design: A Self-Driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures.
Details
This dataset was constructed for self-supervised collocated clothing synthesis (CCS) task. It encompasses 30, 876 images, covering both upper and lower clothing items. We partition the dataset into training and test sets, maintaining a ratio of 4:1, for both 'upper → lower' and 'lower → upper' settings. Within this dataset, there exist instances where certain fashion items recur. To ensure non-overlap between the training and test sets, we employ a graph-based method and similarity comparison with learned perceptual image patch similarity (LPIPS). This ensures that the source domain images in any transformation direction do not intersect. For instance, in the transition direction of 'upper → lower', there is no intersection between the upper clothing images in the training set and those in the test set. All images in the dataset are with a resolution of 256 x 256 pixels.
Citation
If you use this dataset in your work, please cite it as:
@inproceedings{dong2024towards,
title={Towards Intelligent Design: A Self-Driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures},
author={Dong, Minglong and Zhou, Dongliang and Ma, Jianghong and Zhang, Haijun},
booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={3725--3729},
year={2024},
organization={IEEE}
}
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