| import requests | |
| from pathlib import Path | |
| from typing import List | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _URLS = {'train': 'https://huggingface.co/datasets/auto-exp-2/resolve/main/train.tar.gz'} | |
| _NAMES = ['cls_a', 'cls_b'] | |
| class ImageFolder(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| features=datasets.Features( | |
| dict( | |
| file=datasets.Value("string"), | |
| labels=datasets.features.ClassLabel(names=_NAMES) | |
| ) | |
| ), | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: | |
| data_files = dl_manager.download_and_extract(_URLS) | |
| if isinstance(data_files, str): | |
| return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=dict(archive_path=data_files))] | |
| splits = [] | |
| for split_name, folder in data_files.items(): | |
| splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs=dict(archive_path=folder))) | |
| return splits | |
| def _generate_examples(self, archive_path): | |
| labels = self.info.features['labels'] | |
| extensions = set(('.jpg', '.jpeg', '.png', '.ppm', '.bmp', '.pgm', '.tif', '.tiff', '.webp')) | |
| for i, path in enumerate(Path(archive_path).glob('**/*')): | |
| if path.suffix in extensions: | |
| yield i, dict(file=path.as_posix(), labels=labels.encode_example(path.parent.name.lower())) | |