VIDS-Guard Dataset (v1.0, Part 2 of 2)

Part 2: VIDS-Guard Dataset (v1.0, External Test Set – Part 2 of 2) This record contains the rest of VIDS-Guard main dataset as well as the External Test Set (v1.0), created to evaluate the cross-dataset generalization capability of deepfake video detection models. The test set includes 600 unseen videos (300 real / 300 fake) selected from independent sources such as HiDF (2025), CelebV-HQ unseen subset, and several Kaggle datasets. None of these samples appear in the main VIDS-Guard training set. Videos are provided in .mp4 format under /ExternalTest/Real and /ExternalTest/Fake directories, ensuring balanced evaluation across new manipulation techniques and authentic clips. This dataset is intended for evaluation only and should not be used for model training. Access is restricted to verified academic researchers for non-commercial use. Note: This record is Part 2 of 2. Please also refer to VIDS-Guard Dataset (v1.0, Part 1) under DOI [10.5281/zenodo.17362749] for the main dataset and full documentation. Full dataset details and references are provided in the attached README file.