Download handtest.py from cutterd/handtest: direct link, hf CLI and curl.
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https://huggingface.co/datasets/cutterd/handtest/resolve/main/handtest.py
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hf download hf://datasets/cutterd/handtest/handtest.py
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curl -L -o handtest.py https://huggingface.co/datasets/cutterd/handtest/resolve/main/handtest.py
1.08 kB
| 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 | |