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import os |
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import datasets |
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from datasets import DownloadManager, DatasetInfo |
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_DESCRIPTION = """\ |
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FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 × 512. |
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""" |
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_HOMEPAGE = "https://huggingface.co/datasets/skytnt/fbanimehq" |
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_URL_BASE = "https://huggingface.co/datasets/skytnt/fbanimehq/resolve/main/data/" |
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_EXTENSION = [".png", ".jpg"] |
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_URLS_HQ = [f"{_URL_BASE}fbanimehq-{i:02d}.zip" for i in range(12)] |
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_URLS_SMALL = [ |
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] |
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class FBAnimeHQConfig(datasets.BuilderConfig): |
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def __init__(self, urls, **kwargs): |
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super(FBAnimeHQConfig, self).__init__(**kwargs) |
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self.urls = urls |
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class FBAnimeHQ(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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FBAnimeHQConfig(name="hq", urls=_URLS_HQ), |
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FBAnimeHQConfig(name="small", urls=_URLS_SMALL) |
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] |
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def _info(self) -> DatasetInfo: |
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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=None, |
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homepage=_HOMEPAGE, |
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citation="", |
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) |
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def _split_generators(self, dl_manager: DownloadManager): |
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dirs = dl_manager.download_and_extract(self.config.urls) |
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"dirs": dirs})] |
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def _generate_examples(self, dirs): |
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for path in dirs: |
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all_fnames = {os.path.relpath(os.path.join(root, fname), start=path) |
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for root, _dirs, files in os.walk(path) for fname in files} |
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image_fnames = sorted(fname for fname in all_fnames |
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if os.path.splitext(fname)[1].lower() in _EXTENSION) |
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for image_fname in image_fnames: |
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yield image_fname, {"image": os.path.join(path, image_fname)} |
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