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Unified Deepfake Video Dataset
913,830 videos from 22 datasets , unified for deepfake detection research.
π¦ Contains metadata + actual video files under CC-BY-4.0,
with permission from all original dataset authors.
Metric
Value
Total videos
913,830
Real videos
339,405
Fake videos
574,425
Generated
2026-04-22T17:09:30Z
Quick Start
from datasets import load_dataset
ds = load_dataset("belkhir-nacim/deepfake-videos" )
sample = ds["train" ][0 ]
print (sample["label" ])
print (sample["dataset_source" ])
print (sample["hf_path" ])
fakes = ds["train" ].filter (lambda x: x["label" ] == "fake" )
stream = load_dataset("belkhir-nacim/deepfake-videos" , streaming=True , split="train" )
for sample in stream:
process(sample)
Dataset Coverage
Dataset
Total
Real
Fake
Status
DDL_dataset
403,702
196,112
207,590
π HF source
DFD
3,431
363
3,068
β
HF-hosted
DeepfakeTIMIT
640
0
640
β
HF-hosted
GenVideo-100K
188,169
100,000
88,169
β
HF-hosted
HIDF
8,722
4,361
4,361
β
HF-hosted
Hemgg/Open-Sora-Plan-v1.0.0
143,013
0
143,013
π HF source
Hemgg/SDFVD-video-dataset
106
53
53
π HF source
Hemgg/deep-fake-detection-dfd-entire-original-dataset
3,431
0
3,431
π HF source
KhunPop/deepfake
3,296
1,349
1,947
π HF source
SDFVD2.0
927
456
471
β
HF-hosted
Sarim-Hash/video_DEEPFAKE_dataset
32
0
32
π HF source
TonyStark03/deepfake
6,449
4,286
2,163
π HF source
UADFV
98
49
49
β
HF-hosted
UniDataPro/deepfake-videos-dataset
10
0
10
π HF source
dfb-data/deep-fake-detection-cropped
3,293
0
3,293
π HF source
hi-paris/FakeParts
81,732
28,523
53,209
π HF source
lavandejoey/fake_temp
10,000
0
10,000
π HF source
liusiyi641/deep_fake_videos
9,599
24
9,575
π HF source
liusiyi641/deep_fake_videos_val
9,599
24
9,575
π HF source
ohjoonhee/DF40-Fake-Videos
30,257
0
30,257
π HF source
ud-biometrics/deepfake-dataset
10
0
10
π HF source
xingjunm/WildDeepfake
7,314
3,805
3,509
π HF source
TOTAL
913,830
339,405
574,425
Schema
Field
Type
Description
id
string
Globally unique ID
filepath
string
Original relative path
hf_path
string
Path in this HF repo (videos/β¦)
label
string
"real" or "fake"
split
string
"train" / "val" / "test" / "none"
dataset_source
string
Source dataset name
original_metadata
string (JSON)
Dataset-specific metadata
Citation
@misc{unified-deepfake-2024,
title={Unified Deepfake Video Dataset},
author={Your Name et al.},
year={2024},
publisher={HuggingFace},
url={https://huggingface.co/datasets/belkhir-nacim/deepfake-videos}
}