Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
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…
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:
Source: Hugging Face Hub (ruturajchallawar/MAVOS-DD). Metadata imported from the dataset’s Hub tags.