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import os |
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import datasets |
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class FixturesOCR(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=datasets.Features( |
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{ |
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"image": datasets.Image(), |
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} |
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) |
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) |
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def _split_generators(self, dl_manager): |
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DL_URLS = [ |
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"https://huggingface.co/datasets/sberbank-ai/Peter/resolve/main/images.zip" |
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] |
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data_files = dl_manager.download_and_extract(DL_URLS) |
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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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"image_paths": dl_manager.iter_files(data_files), |
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}, |
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), |
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] |
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def _generate_examples(self, image_paths): |
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"""Generate examples.""" |
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for idx, image_path in enumerate(image_paths): |
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example = { |
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"image": image_path, |
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} |
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yield idx, example |
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