Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {'train': ('parquet', {}), 'validation': ('parquet', {}), 'test': (None, {}), 'masks': ('parquet', {})}
Error code: FileFormatMismatchBetweenSplitsError
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release-prep-2026
A large-scale image dataset for image classification and forgery/manipulation detection research, packaged as Parquet shards.
Structure
Data is organised under data/ into modality subfolders:
data/Image/- image-modality Parquet shards ({split}-XXXXX-of-YYYYY.parquet).data/Video/,data/Audio/,data/AV-TH/- reserved for future modalities.
| field | type | description |
|---|---|---|
image |
image | The input image. |
mask |
image | Optional binary mask for manipulated regions (may be null). |
label |
string | Category: real, full_synthetic, tampered, or mask. |
generator |
string | Source / generator model (null for real images). |
filename |
string | Relative path of the original image within its source split. |
split |
string | One of train, validation, test, masks. |
Splits
train,validation: the main labelled set.test: out-of-distribution evaluation images.masks: auxiliary manipulation masks.
Usage
from datasets import load_dataset
ds = load_dataset("JamalLee/release-prep-2026")
print(ds)
License
Released under the Creative Commons Attribution 4.0 International License.
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