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import datasets |
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_DESCRIPTION = """ |
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A small rocket images dataset. |
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""" |
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_HOMEPAGE = "https://huggingface.co./datasets/MilkCool/rockets" |
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_CITATION = "" |
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_LICENSE = "MIT" |
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_IMAGES_DIR = "train" |
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_NAMES = "Rockets" |
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class Rockets(datasets.GeneratorBasedBuilder): |
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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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"label": datasets.ClassLabel(names=_NAMES), |
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} |
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), |
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supervised_keys=("image", "label"), |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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license=_LICENSE, |
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task_templates=[ImageClassification(image_column="image", label_column="label")], |
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) |
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def _split_generators(self, dl_manager): |
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return [] |
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def _generate_examples(self, images, metadata_path): |
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with open(metadata_path, encoding="utf-8") as f: |
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files_to_keep = set(f.read().split("\n")) |
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for file_path, file_obj in images: |
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if file_path.startswith(_IMAGES_DIR): |
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if file_path[len(_IMAGES_DIR) : -len(".jpg")] in files_to_keep: |
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label = file_path.split("/")[2] |
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yield file_path, { |
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"image": {"path": file_path, "bytes": file_obj.read()}, |
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"label": label, |
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} |
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