DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
Paper • 2403.18471 • Published
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 342, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 791, in read_json
json_reader = JsonReader(
path_or_buf,
...<16 lines>...
engine=engine,
)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 905, in __init__
self.data = self._preprocess_data(data)
~~~~~~~~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
data = data.read()
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 838, in read_with_retries
out = read(*args, **kwargs)
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 345, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
DeepfakeGenome-Img
This is an unofficial reproduction of the DeepfakeGenome (DFG) work. We have downloaded and preprocessed all related datasets, which can serve as a supplementary resource to the official DeepfakeGenome dataset.
⚠️ Usage Restriction: This dataset is for academic research purposes only.
If you use this resource in your work, please cite the original DeepfakeGenome and all the following papers.
We sincerely appreciate the great efforts made by the original authors:
@inproceedings{CelebA,
title = {Deep Learning Face Attributes in the Wild},
author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
}
@inproceedings{Forgerynet,
title={Forgerynet: A versatile benchmark for comprehensive forgery analysis},
author={He, Yinan and Gan, Bei and Chen, Siyu and Zhou, Yichun and Yin, Guojun and Song, Luchuan and Sheng, Lu and Shao, Jing and Liu, Ziwei},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
pages={4360--4369},
year={2021}
}
@inproceedings{DFFD,
title={On the detection of digital face manipulation},
author={Dang, Hao and Liu, Feng and Stehouwer, Joel and Liu, Xiaoming and Jain, Anil K},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern recognition},
pages={5781--5790},
year={2020}
}
@inproceedings{DNA-Det,
title={Deepfake network architecture attribution},
author={Yang, Tianyun and Huang, Ziyao and Cao, Juan and Li, Lei and Li, Xirong},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={36},
number={4},
pages={4662--4670},
year={2022}
}
@inproceedings{OSMA,
title={Progressive open space expansion for open-set model attribution},
author={Yang, Tianyun and Wang, Danding and Tang, Fan and Zhao, Xinying and Cao, Juan and Tang, Sheng},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={15856--15865},
year={2023}
}
@inproceedings{wild-20,
title={WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution},
author={Bongini, Pietro and Mandelli, Sara and Montibeller, Andrea and Casu, Mirko and Pontorno, Orazio and Ragaglia, Claudio Vittorio and Zanchetta, Luca and Aquilina, Mattia and Wani, Taiba Majid and Guarnera, Luca and others},
booktitle={2025 International Joint Conference on Neural Networks (IJCNN)},
pages={1--8},
year={2025},
organization={IEEE}
}
@inproceedings{DiFF,
title={Diffusion facial forgery detection},
author={Cheng, Harry and Guo, Yangyang and Wang, Tianyi and Nie, Liqiang and Kankanhalli, Mohan},
booktitle={Proceedings of the 32nd ACM international conference on multimedia},
pages={5939--5948},
year={2024}
}
@article{Diffusionface,
title={Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis},
author={Chen, Zhongxi and Sun, Ke and Zhou, Ziyin and Lin, Xianming and Sun, Xiaoshuai and Cao, Liujuan and Ji, Rongrong},
journal={arXiv preprint arXiv:2403.18471},
year={2024}
}
@article{DeepfakeGenome,
title={DeepfakeGenome: Toward Next-Generation Deepfake Attribution},
author={Shunli Wang, Xinyu Zhou, Yandan Zhao, Wenbin Liang, Taiping Yao, Ke-Yue Zhang, Zhiyuan Yan, Shouhong Ding, Lizhuang Ma},
journal={40th Conference on Neural Information Processing Systems (NeurIPS 2026). Track on Evaluations and Datasets},
year={2026}
}
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