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from pathlib import Path |
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from typing import List |
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import datasets |
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import pdf2image |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = "A generic pdf folder" |
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folder = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data" |
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class PdfFolder(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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""" |
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folder = None |
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if isinstance(self.config.data_dir, str): |
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folder = self.config.data_dir |
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elif isinstance(self.config.data_files, str): |
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folder = self.config.data_files |
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elif isinstance(self.config.data_files, dict): |
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folder = self.config.data_files.get("train", None) |
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if folder is None: |
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raise RuntimeError() |
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""" |
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self.config.data_files = folder |
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import pdb; pdb.set_trace() |
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classes = sorted([x.name.lower() for x in Path(folder).glob("*/**")]) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"file": datasets.Sequence(datasets.Image()), |
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"labels": datasets.features.ClassLabel(names=classes), |
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} |
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), |
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task_templates=None, |
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) |
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def _split_generators( |
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self, dl_manager: datasets.DownloadManager |
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) -> List[datasets.SplitGenerator]: |
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data_files = self.config.data_files |
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if isinstance(data_files, str): |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"archive_path": data_files} |
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) |
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] |
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splits = [] |
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for split_name, folder in data_files.items(): |
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splits.append( |
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datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder}) |
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) |
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return splits |
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def _generate_examples(self, archive_path): |
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labels = self.info.features["labels"] |
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logger.info("generating examples from = %s", archive_path) |
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extensions = {".pdf"} |
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for i, path in enumerate(Path(archive_path).glob("**/*")): |
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if path.suffix in extensions: |
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images = pdf2image.convert_from_bytes(path.posix()) |
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yield i, {"file": images, "labels": labels.encode_example(path.parent.name.lower())} |
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