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import textwrap |
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import datasets |
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from PIL import Image |
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_CITATION = """\\n""" |
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_DESCRIPTION = """\\n""" |
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class CatsImageConfig(datasets.BuilderConfig): |
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"""BuilderConfig for COCO cats image.""" |
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def __init__( |
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self, |
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data_url, |
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url, |
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task_templates=None, |
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**kwargs, |
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): |
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super(CatsImageConfig, self).__init__( |
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version=datasets.Version("1.9.0", ""), **kwargs |
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) |
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self.data_url = data_url |
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self.url = url |
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self.task_templates = task_templates |
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class CatsImage(datasets.GeneratorBasedBuilder): |
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"""Cats image. You know, THE cats image from the COCO dataset.""" |
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BUILDER_CONFIGS = [ |
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CatsImageConfig( |
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name="image", |
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description=textwrap.dedent(""), |
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url="", |
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data_url="", |
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) |
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] |
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DEFAULT_CONFIG_NAME = "image" |
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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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"image": datasets.Image(), |
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} |
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), |
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supervised_keys=("image",), |
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homepage=self.config.url, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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DL_URLS = [ |
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f"https://huggingface.co/datasets/huggingface/cats-image/raw/main/{name}" |
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for name in ["cats_image.jpeg"] |
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] |
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archive_path = 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.TEST, |
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gen_kwargs={"archive_path": archive_path}, |
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), |
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] |
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def _generate_examples(self, archive_path): |
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"""Generate examples.""" |
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for idx, filename in enumerate(archive_path): |
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image = Image.open(filename) |
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example = { |
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"image": image, |
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} |
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yield idx, example |
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