LICENSE: This dataset is released under the CC BY NC SA 4.0 license. This repository contains MAVOS DD an open set benchmark for multilingual audio video deepfake detection. Below, you can find the code to obtain the subsets described in the paper: train, validation, open set model, open set language and open set full: from datasets import Dataset, concatenate datasets metadata = Dataset.load from disk('MAVOS DD') metadata indomain = metadata.filter(lambda sample: sample['split']=='test' and… See the full description on the dataset page: https://huggingface.co/datasets/ruturajchallawar/MAVOS DD.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy