import datasets import pandas as pd _CITATION = """\ @InProceedings{huggingface:dataset, title = {monitors-replay-attacks-dataset}, author = {TrainingDataPro}, year = {2023} } """ _DESCRIPTION = """\ The dataset consists of videos of replay attacks played on different models of computers. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. The dataset includes: **replay attacks** - videos of real people played on a computer and filmed on the phone. """ _NAME = 'monitors-replay-attacks-dataset' _HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}" _LICENSE = "cc-by-nc-nd-4.0" _DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/" class MonitorsReplayAttacksDataset(datasets.GeneratorBasedBuilder): def _info(self): return datasets.DatasetInfo(description=_DESCRIPTION, features=datasets.Features({ 'file': datasets.Value('string'), 'phone': datasets.Value('string'), 'computer': datasets.Value('string'), 'gender': datasets.Value('string'), 'age': datasets.Value('int16'), 'country': datasets.Value('string'), }), supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, license=_LICENSE) def _split_generators(self, dl_manager): attacks = dl_manager.download(f"{_DATA}attacks.tar.gz") annotations = dl_manager.download(f"{_DATA}{_NAME}.csv") attacks = dl_manager.iter_archive(attacks) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ "attacks": attacks, 'annotations': annotations }), ] def _generate_examples(self, attacks, annotations): annotations_df = pd.read_csv(annotations, sep=';') for idx, (video_path, video) in enumerate(attacks): yield idx, { 'file': video_path, 'phone': annotations_df.loc[annotations_df['file'].str.lower() == video_path.lower()]['phone'].values[0], 'computer': annotations_df.loc[annotations_df['file'].str.lower() == video_path.lower()] ['computer'].values[0], 'gender': annotations_df.loc[annotations_df['file'].str.lower() == video_path.lower()]['gender'].values[0], 'age': annotations_df.loc[annotations_df['file'].str.lower() == video_path.lower()]['age'].values[0], 'country': annotations_df.loc[annotations_df['file'].str.lower() == video_path.lower()]['country'].values[0] }