Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
Paper • 2603.14153 • Published • 3
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 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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.
jpg image | __key__ string | __url__ string |
|---|---|---|
Garments2Look-GT-Test-576x768/P00884223_d3 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00787009_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00572751_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00805020_d2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00947569_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00906528_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00820575_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00483930_d2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00906551_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00948705_d3 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00913633_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00929204_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00906583_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00947536_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00962275_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00948893_d2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00951908_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00958836_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
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Garments2Look-GT-Test-576x768/P00992552_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00958883_b2 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
Garments2Look-GT-Test-576x768/P00955978_b1 | hf://datasets/vickwayne3/Garments2Look-Test-Set-Results@6ed6af1607d23e937575a00f3321db9089c41160/GT-Test/Garments2Look-GT-Test-576x768.tar.gz | |
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Project Page | Paper | Code
Garments2Look is a large-scale multimodal dataset for outfit-level Virtual Try-On (VTON), comprising 80,000 many-garments-to-one-look pairs across 40 major categories and over 300 fine-grained subcategories. Each pair includes an outfit with 3-12 reference garment images (averaging 4.48), a model image wearing the outfit, and detailed item and try-on textual annotations.
@inproceedings{cvpr2026garments2look,
title={Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories},
author={Hu, Junyao and Cheng, Zhongwei and Wong, Waikeung and Zou, Xingxing},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2026}
}