import datasets import pandas as pd _CITATION = """\ @InProceedings{huggingface:dataset, title = {anti-spoofing-real-waist-high-dataset}, author = {TrainingDataPro}, year = {2023} } """ _DESCRIPTION = """\ The dataset consists of waist-high selfies and video of real people. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. """ _NAME = 'anti-spoofing-real-waist-high-dataset' _HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}" _LICENSE = "" _DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/" class AntiSpoofingRealWaistHighDataset(datasets.GeneratorBasedBuilder): """Small sample of image-text pairs""" def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features({ 'photo': datasets.Image(), 'video': datasets.Value('string'), 'phone': datasets.Value('string'), 'gender': datasets.Value('string'), 'age': datasets.Value('int8'), 'country': datasets.Value('string'), }), supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, ) def _split_generators(self, dl_manager): images = dl_manager.download(f"{_DATA}photo.tar.gz") videos = dl_manager.download(f"{_DATA}video.tar.gz") annotations = dl_manager.download(f"{_DATA}{_NAME}.csv") images = dl_manager.iter_archive(images) videos = dl_manager.iter_archive(videos) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ "images": images, 'videos': videos, 'annotations': annotations }), ] def _generate_examples(self, images, videos, annotations): annotations_df = pd.read_csv(annotations, sep=';') for idx, ((image_path, image), (video_path, video)) in enumerate(zip(images, videos)): yield idx, { "photo": { "path": image_path, "bytes": image.read() }, "video": video_path, 'phone': annotations_df.loc[annotations_df['photo'].str.startswith( str(idx))]['phone'].values[0], 'gender': annotations_df.loc[annotations_df['photo'].str.startswith( str(idx))]['gender'].values[0], 'age': annotations_df.loc[annotations_df['photo'].str.startswith( str(idx))]['age'].values[0], 'country': annotations_df.loc[annotations_df['photo'].str.startswith( str(idx))]['country'].values[0], }