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import datasets |
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_TAR_FILES=[ |
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"part0.tar.gz", |
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"part1.tar.gz", |
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"part2.tar.gz", |
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"part3.tar.gz", |
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"part4.tar.gz", |
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"part5.tar.gz", |
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"part6.tar.gz", |
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] |
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_TAR_FILES_DICT={ |
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"1024.512": "1024-512-merged1.tar.gz", |
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"1152.512": "1152-512-merged1.tar.gz", |
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"384.1152": "384-1152-merged1.tar.gz", |
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"512.1024": "512-1024-merged1.tar.gz", |
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"512.1152": "512-1152-merged1.tar.gz", |
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"512.896": "512-896-merged1.tar.gz", |
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"640.640": "640-640-merged1.tar.gz", |
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"640.768": "640-768-merged1.tar.gz", |
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"640.896": "640-896-merged1.tar.gz", |
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"768.640": "768-640-merged1.tar.gz", |
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"768.768": "768-768-merged1.tar.gz", |
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"896.512": "896-512-merged1.tar.gz", |
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"896.640": "896-640-merged1.tar.gz", |
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"1152.384": "1152-384-merged1.tar.gz", |
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} |
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class Food101(datasets.GeneratorBasedBuilder): |
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"""Food-101 Images dataset.""" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="TMP description", |
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homepage="google it", |
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citation="lmao", |
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license="dunno, tbh, assume the worst, k thx." |
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) |
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def _split_generators(self, dl_manager): |
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l=[] |
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for k in _TAR_FILES_DICT.keys(): |
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archive_path = dl_manager.download(_TAR_FILES_DICT[k]) |
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l.append( |
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datasets.SplitGenerator( |
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name=k, |
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gen_kwargs={ |
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"images": dl_manager.iter_archive(archive_path), |
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},) |
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) |
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return l |
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def _generate_examples(self, images): |
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"""Generate images and labels for splits.""" |
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for file_path, file_obj in images: |
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yield file_path, { |
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"image": {"path": file_path, "bytes": file_obj.read()}, |
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} |
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