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Create load_script.py

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  1. load_script.py +62 -0
load_script.py ADDED
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+ import datasets
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+
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+ _CITATION = """\
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+ @InProceedings{huggingface:dataset,
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+ title = {Small htr examples images},
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+ author={Gabriel Borg},
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+ year={2023}
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ Demo dataset for the htr demo.
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+ """
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+ _HOMEPAGE = "https://github.com/Borg93/htr_gradio_file_placeholder"
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+
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+ _LICENSE = ""
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+
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+ _REPO = "https://github.com/Borg93/htr_gradio_file_placeholder/raw/main/images.tar.gz"
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+ _METADATA_URL = "https://raw.githubusercontent.com/Borg93/htr_gradio_file_placeholder/main/images.txt"
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+
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+ class ExampleImages(datasets.GeneratorBasedBuilder):
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+ """Small sample of image-text pairs"""
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+
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+ def _info(self):
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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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+ 'text': datasets.Value("string"),
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+ 'image': datasets.Image(),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ images_archive = dl_manager.download(_REPO)
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+ metadata_paths = dl_manager.download(_METADATA_URL)
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+ image_iters = dl_manager.iter_archive(images_archive)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "images": image_iters,
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+ "metadata_path": metadata_paths
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+ }
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+ ),
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+ ]
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+
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+ def _generate_examples(self, images, metadata_path):
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+ """Generate images and text."""
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+ with open(metadata_path, encoding="utf-8") as f:
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+ metadata_list = f.read().split("\n")
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+ dataset_rows = zip(images, metadata_list)
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+ for img_obj, meta_txt in dataset_rows:
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+ file_path, file_obj = img_obj
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+ yield file_path, {
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+ "image": {"path": file_path, "bytes": file_obj.read()},
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+ "text": meta_txt,
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+ }