Datasets:
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| import os | |
| from typing import List | |
| import datasets | |
| import pdf2image | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = "A generic pdf folder" | |
| _CLASSES = ["categoryA", "categoryB"] # define in advance | |
| _URL = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data/data.tar.gz" | |
| # folder | |
| # train | |
| # categoryA | |
| # file1 | |
| # test | |
| # ... | |
| class PdfFolder(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "file": datasets.Sequence(datasets.Image()), | |
| "labels": datasets.features.ClassLabel(names=_CLASSES), | |
| } | |
| ), | |
| task_templates=None, | |
| ) | |
| def _split_generators( | |
| self, dl_manager: datasets.DownloadManager | |
| ) -> List[datasets.SplitGenerator]: | |
| archive_path = dl_manager.download(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "archive_iterator": dl_manager.iter_archive(archive_path), | |
| "supposed_labelset": "train", | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "archive_iterator": dl_manager.iter_archive(archive_path), | |
| "supposed_labelset": "test", | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "archive_iterator": dl_manager.iter_archive(archive_path), | |
| "supposed_labelset": "val", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, archive_iterator, supposed_labelset): | |
| extensions = {"pdf", "PDF"} | |
| for file_path, file_obj in archive_iterator: | |
| if file_path.split(".")[-1] not in extensions: # metadata.jsonlines | |
| continue | |
| folder, labelset, label, filename = file_path.split("/") | |
| if labelset != supposed_labelset: | |
| continue | |
| images = pdf2image.convert_from_bytes(file_obj.read()) | |
| yield file_path, {"file": images, "labels": label} | |