ruturajchallawar/MAVOS-DDLICENSE: 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.

MAVOS-DD

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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.

Formats:md, jsonLibraries:Datasets, Dask, Polars, Croissant

ArXiv:2505.11109

imported

huggingface

minio

task_categories:video-classification

language:ar

language:ro

language:en

language:de

language:hi

language:es

language:ru

size_categories:10K<n<100K

modality:video

library:datasets

library:mlcroissant

region:us

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arXiv:2505.11109

Paper2505.11109 0

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