import datasets import pandas as pd _CITATION = """\ @InProceedings{huggingface:dataset, title = {hand-gesture-recognition-dataset}, author = {TrainingDataPro}, year = {2023} } """ _DESCRIPTION = """\ The dataset consists of videos showcasing individuals demonstrating 5 different hand gestures (*"one", "four", "small", "fist", and "me"*). Each video captures a person prominently displaying a single hand gesture, allowing for accurate identification and differentiation of the gestures. The dataset offers a diverse range of individuals performing the gestures, enabling the exploration of variations in hand shapes, sizes, and movements across different individuals. The videos in the dataset are recorded in reasonable lighting conditions and with adequate resolution, to ensure that the hand gestures can be easily observed and studied. """ _NAME = 'hand-gesture-recognition-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 HandGestureRecognitionDataset(datasets.GeneratorBasedBuilder): def _info(self): return datasets.DatasetInfo(description=_DESCRIPTION, features=datasets.Features({ 'set_id': datasets.Value('int32'), 'fist': datasets.Value('string'), 'four': datasets.Value('string'), 'me': datasets.Value('string'), 'one': datasets.Value('string'), 'small': datasets.Value('string') }), supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, license=_LICENSE) def _split_generators(self, dl_manager): files = dl_manager.download_and_extract(f"{_DATA}files.zip") annotations = dl_manager.download(f"{_DATA}{_NAME}.csv") files = dl_manager.iter_files(files) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ "files": files, 'annotations': annotations }), ] def _generate_examples(self, files, annotations): annotations_df = pd.read_csv(annotations, sep=';') files = sorted(files) files = [files[i:i + 5] for i in range(0, len(files), 5)] for idx, files_set in enumerate(files): set_id = int((files_set[0].split('/'))[-2]) data = {'set_id': set_id} for file in files_set: if 'fist' in file.lower(): data['fist'] = file elif 'four' in file.lower(): data['four'] = file elif 'me' in file.lower(): data['me'] = file elif 'one' in file.lower(): data['one'] = file elif 'small' in file.lower(): data['small'] = file print(data) yield idx, data