Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 192, in _split_generators
raise ValueError(f"Found metadata files with different extensions: {list(metadata_ext)}")
ValueError: Found metadata files with different extensions: ['.csv', '.jsonl']
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/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
DeepGuard Deepfake Dataset
A paired deepfake dataset for training and benchmarking deepfake detection models. Generated as part of the DeepGuard AI Project (2026).
Dataset Statistics
- Fake images: 5426 (face-swapped using InsightFace inswapper_128)
- Real images: 5426 (original paired faces)
- Total: 10852 images
- Format: JPEG, high quality (95%)
- Generation method: InsightFace inswapper_128 (ONNX runtime)
Why This Dataset is Unique
- Paired structure: Every fake has a matching real image of the same target person
- Modern method: inswapper_128 powers most 2024-2026 real-world deepfake apps
- Traceable metadata: Source identity, target face, and method per image
- Open access: No sign-up required, instant
load_dataset()access
Quick Start
from datasets import load_dataset
ds = load_dataset('Sowaiba01/Deepfake')
Detection Model
Trained EfficientNet-B4 detection model also available:
from huggingface_hub import hf_hub_download
model_path = hf_hub_download('Sowaiba01/deepguard-ai', 'efficientnet_b4_deepguard.pth')
Validation accuracy: 99.78% on 140K Real & Fake Faces dataset.
Citation
@dataset{deepguard2026,
author = {Arshad, Sowaiba},
title = {DeepGuard Deepfake Dataset},
year = {2026},
url = {https://huggingface.co/datasets/Sowaiba01/Deepfake}
}
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