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import datasets
_TAR_FILES=[
"tmp.tar.gz"
]
class ZipDataset(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description="TMP description",
homepage="google it",
citation="lmao",
license="dunno, tbh, assume the worst, k thx."
)
def _split_generators(self, dl_manager):
archive_path = dl_manager.download(_TAR_FILES[0])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"images": dl_manager.iter_archive(archive_path),
},
),
]
def _generate_examples(self, images):
"""Generate images and labels for splits."""
for file_path, file_obj in images:
yield file_path, {
"image": {"path": file_path, "bytes": file_obj.read()},
}
#https://huggingface.co/datasets/oscar-corpus/OSCAR-2201/blob/main/OSCAR-2201.py
#https://huggingface.co/datasets/food101
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