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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/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
Summary
This is the dataset proposed in our paper Scaling Laws for Deepfake Detection.
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.
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.
Directory
*DATA_PATH
*ScaleDF
*train
000000AFAD.tar # The tar files starting with 000000 contain real faces.
000000AVA.tar
...
AMatrix_faces.tar # The tar files starting without 000000 contain fake faces.
AniPortrait_faces.tar
...
*val
000000300VW.tar # The tar files starting with 000000 contain real faces.
000000GENKI-4K.tar
...
3dSwap_faces.tar # The tar files starting without 000000 contain fake faces.
DiffFace_faces.tar
...
*Established_benchmarks
*CDFv2.tar
*DF40.tar
*DeepFakeDetection.tar
*DeepFakeFace.tar
*ForgeryNet.tar
*Wild_Deepfake.tar
*ScaleDF.tar # We also adapt the ScaleDF validation set format to other established benchmarks and provide the adapted version here.
Download
Automatic
from huggingface_hub import snapshot_download
local_dir = snapshot_download(
repo_id="scaledf/ScaleDF",
repo_type="dataset"
)
Manually
wget https://huggingface.co/datasets/scaledf/ScaleDF/resolve/main/ScaleDF/train/000000AFAD.tar # This is an example.
Compared to existing datasets
Observed scaling laws
Included real datasets
Included deepfake methods
License
Our ScaleDF is released under the CC BY-NC-SA 4.0 license.
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