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from pathlib import Path
from typing import List
import datasets
import pdf2image
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = "A generic pdf folder"
folder = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data"
class PdfFolder(datasets.GeneratorBasedBuilder):
def _info(self):
"""
folder = None
if isinstance(self.config.data_dir, str):
folder = self.config.data_dir
elif isinstance(self.config.data_files, str):
folder = self.config.data_files
elif isinstance(self.config.data_files, dict):
folder = self.config.data_files.get("train", None)
if folder is None:
raise RuntimeError()
"""
self.config.data_files = folder
import pdb; pdb.set_trace() # breakpoint f8426718 //
classes = sorted([x.name.lower() for x in Path(folder).glob("*/**")])
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]:
data_files = self.config.data_files
if isinstance(data_files, str):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={"archive_path": data_files}
)
]
splits = []
for split_name, folder in data_files.items():
splits.append(
datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})
)
return splits
def _generate_examples(self, archive_path):
labels = self.info.features["labels"]
logger.info("generating examples from = %s", archive_path)
extensions = {".pdf"}
for i, path in enumerate(Path(archive_path).glob("**/*")):
if path.suffix in extensions:
images = pdf2image.convert_from_bytes(path.posix())
# convert PDF to list of images
yield i, {"file": images, "labels": labels.encode_example(path.parent.name.lower())}
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