Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation
Paper • 2506.01331 • Published • 2
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.
jpg image | __key__ string | __url__ string |
|---|---|---|
./0000/GudTmd-Q3Cg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/nqKbZzmVSdY | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/U0INWUBa6YU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/9pY2tQBnHIg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/DGyVvAJNyPE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/JurNMrW1T-c | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/I5j46lqAo-o | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/lpWypNUavIk | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/81s4ryYuIh4 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/FDJ371PeyhY | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/Ai5h0P3QVbM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/DMxCt9W12qE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/yEabIHeu0Zg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/wAeWy54vqh0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/JBkwaYMuhdc | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/UChNjL5Zpk4 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/coMf4xWOBgM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/LHxm8vF4C_Y | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/NBQhCKtg_9Y | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/f1PzRPbqt0M | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/NuBvAE6VfSM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/cmOeb0xGsQs | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/-3iWOTGUvhU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/svnB5ElD2mU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/1C55VIfJSuQ | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/gxPVtIPmQeA | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/TI2iMeyOo-o | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/WvVyudMd1Es | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/TI7rJ6vSLHI | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/SlUoDl_SBMs | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/HMargJLRs4s | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/I3M5ZxnghGM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/k1APT2607Cw | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/p9d6ixYqqm8 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/oKAas-mv1ek | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/9q7m73Qebd0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/GYp9v7dsSCk | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/4aGj9oDcMcs | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/1s66d5yY5gE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/Uex2QEEvKhg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/U0lLkv3Kb9U | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/NmMUbokN4Jo | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/WK1PjeKF3iI | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
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./0000/wFWQmOyfkkM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
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./0000/tfdgSSfGMHU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/y3teuEsj6EY | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/ECl75OgI7RQ | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/e3OUQGT9bWU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/TTExgxV06KA | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/iNQHPVpWnuI | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/cdVqG9vnCVw | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/Zk3t0u_p4pE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/34OTzkN-nuc | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/nghd7kf-EVA | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/yBgN6G-icP4 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/4Wd3X3O-1c4 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/RKRZkheRq5k | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/34dE2RoVp_I | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/5dp2gGlsXfg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/bxQgJ7gvCi0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/vAVIc-FIPko | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/LJ5qfXuYlxg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/qZ427Mo7Kd8 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/3qBi6HWZMeg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/-pP4n2R11fU | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/jXhhoeP_b9A | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/znbmh2-cIj0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/GS53SN0UXqs | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/Y_8h64TXyfI | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/8Qd43XjsU00 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/EJjSAAm3EVg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/Drf9a196d7M | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/f9q98FMCcLA | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/IQMG9KbT4yE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/bpdoFNQP2iw | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/sVITXInq_9k | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/jEQCKQjbRag | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/ObBaJ4gc-DE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/FsXq3xu72bs | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/RE1L5CULyCg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/dIKE3VjkO9c | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/LTY2ZX72LBg | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/LhO_Bp6XBZ0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/2eujrTV8NG8 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/mLnG4BkTz54 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/qyFf-hC34l0 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/3KJpF86nR4c | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/h9p1VCgUSgM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/ZSClTWjHnuE | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/uOcTMS34yJM | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar | |
./0000/VHC-7F4-yn4 | hf://datasets/toilaluan/Aesthetic-Train-V2@a37a5aba34765366eb40ca95ebb2cfe5e2f564a6/images/0000.tar |
We introduce Aesthetic-Train-V2, a high-quality traing set for ultra-high-resolution image generation.
For more details, please refer to our paper:
If you find our paper or dataset is helpful in your research or applications, generously cite with:
@inproceedings{zhang2025diffusion4k,
title={Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models},
author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di},
year={2025},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
}
@misc{zhang2025ultrahighresolutionimagesynthesis,
title={Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation},
author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di},
year={2025},
note={arXiv:2506.01331},
}