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Datasets:
ochanji
/
ScaleDF

Tasks:
Feature Extraction
Modalities:
Image
Languages:
English
Size:
10M<n<100M
ArXiv:
Tags:
deepfake-detection
face-generation
ai-safety
trust-and-safety
License:
Dataset card Data Studio Files
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ochanji WenhaoWang commited on
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Duplicate from WenhaoWang/ScaleDF

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Co-authored-by: Wenhao Wang <WenhaoWang@users.noreply.huggingface.co>

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  3. Established_benchmarks/DF40.tar +3 -0
  4. Established_benchmarks/DeepFakeDetection.tar +3 -0
  5. Established_benchmarks/DeepFakeFace.tar +3 -0
  6. Established_benchmarks/ForgeryNet.tar +3 -0
  7. Established_benchmarks/ScaleDF.tar +3 -0
  8. Established_benchmarks/Wild_Deepfake.tar +3 -0
  9. README.md +119 -0
  10. ScaleDF/train/000000AFAD.tar +3 -0
  11. ScaleDF/train/000000AVA.tar +3 -0
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  25. ScaleDF/train/000000FaceVid.tar +3 -0
  26. ScaleDF/train/000000FairFace.tar +3 -0
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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1
+ ---
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+ license: cc-by-nc-sa-4.0
3
+ task_categories:
4
+ - feature-extraction
5
+ language:
6
+ - en
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+ tags:
8
+ - deepfake-detection
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+ - face-generation
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+ - ai-safety
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+ - trust-and-safety
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+ pretty_name: ScaleDF
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+ size_categories:
14
+ - 10M<n<100M
15
+ ---
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+
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+ # Summary
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+ This is the dataset proposed in our paper [**Scaling Laws for Deepfake Detection**](https://arxiv.org/abs/2510.16320).
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/assets/teasor.png" width="800">
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+ </p>
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+
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+ ScaleDF is the largest dataset in the deepfake detection domain to date. It contains over 5.8 million real images from 51 different datasets (domains) and more than 8.8 million fake images generated by 102 deepfake methods.
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+
25
+ Using ScaleDF, we observe power-law scaling similar to that shown in large language models (LLMs). Specifically, the average detection error follows a predictable power-law decay as either the number of real domains or the number of deepfake methods increases.
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+
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+ # Directory
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+ ```
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+ *DATA_PATH
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+ *ScaleDF
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+ *train
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+ 000000AFAD.tar # The tar files starting with 000000 contain real faces.
33
+ 000000AVA.tar
34
+ ...
35
+ AMatrix_faces.tar # The tar files starting without 000000 contain fake faces.
36
+ AniPortrait_faces.tar
37
+ ...
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+ *val
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+ 000000300VW.tar # The tar files starting with 000000 contain real faces.
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+ 000000GENKI-4K.tar
41
+ ...
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+ 3dSwap_faces.tar # The tar files starting without 000000 contain fake faces.
43
+ DiffFace_faces.tar
44
+ ...
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+ *unprocessed_fake
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+ 3dswap_output_v2.tar # The tar files contain unprocessed fake images or videos. We release unprocessed ones for FS, FR, FE, and TF (except FF, which is too large).
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+ AMatrix_output_v2.tar
48
+ ...
49
+ *Established_benchmarks
50
+ *CDFv2.tar
51
+ *DF40.tar
52
+ *DeepFakeDetection.tar
53
+ *DeepFakeFace.tar
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+ *ForgeryNet.tar
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+ *Wild_Deepfake.tar
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+ *ScaleDF.tar # We also adapt the ScaleDF validation set format to other established benchmarks and provide the adapted version here.
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+ ```
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+
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+ # Download
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+
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+ ## Automatic
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ local_dir = snapshot_download(
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+ repo_id="WenhaoWang/ScaleDF",
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+ repo_type="dataset"
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+ )
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+ ```
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+
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+ ## Manually
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+
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+ ```
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+ wget https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/ScaleDF/train/000000AFAD.tar # This is an example.
76
+ ```
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+
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+
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+ # Compared to existing datasets
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+ <p align="center">
81
+ <img src="https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/assets/compare.png" width="800">
82
+ </p>
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+
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+ # Observed scaling laws
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+
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/assets/scaling_laws.png" width="800">
88
+ </p>
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+
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+ # Included real datasets
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+
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+ <p align="center">
93
+ <img src="https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/assets/real_dataset.png" width="800">
94
+ </p>
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+
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+ # Included deepfake methods
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+
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/WenhaoWang/ScaleDF/resolve/main/assets/fake_method.png" width="800">
100
+ </p>
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+
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+
103
+ # License
104
+
105
+ Our ScaleDF is released under the [CC BY-NC-SA 4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
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+
107
+ # Citation
108
+ ```
109
+ @article{wang2025scaling,
110
+ title={Scaling Laws for Deepfake Detection},
111
+ author={Wang, Wenhao and Cai, Longqi and Xiao, Taihong and Wang, Yuxiao and Yang, Ming-Hsuan},
112
+ journal={arXiv preprint arXiv:2510.16320},
113
+ year={2025}
114
+ }
115
+ ```
116
+
117
+ # Contact
118
+
119
+ If you have any questions, feel free to contact Wenhao Wang (wangwenhao0716@gmail.com).
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