Narsil HF staff commited on
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Initial commit.

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Files changed (6) hide show
  1. image_dummy.py +96 -0
  2. image_dummy.py.lock +0 -0
  3. lena.png +0 -0
  4. parrots.png +0 -0
  5. sample1.flac +0 -0
  6. tree.png +0 -0
image_dummy.py ADDED
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+ # coding=utf-8
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+ # Copyright 2021 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+
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+ import textwrap
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+
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+ import datasets
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+
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+
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+ _CITATION = """\
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+ """
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+
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+ _DESCRIPTION = """\
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+ """
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+
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+
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+ class ImageDummybConfig(datasets.BuilderConfig):
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+ """BuilderConfig for Superb."""
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+
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+ def __init__(
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+ self,
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+ data_url,
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+ url,
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+ task_templates=None,
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+ **kwargs,
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+ ):
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+ super(ImageDummybConfig, self).__init__(
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+ version=datasets.Version("1.9.0", ""), **kwargs
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+ )
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+ self.data_url = data_url
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+ self.url = url
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+ self.task_templates = task_templates
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+
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+
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+ class ImageDummy(datasets.GeneratorBasedBuilder):
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+ """Superb dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ ImageDummybConfig(
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+ name="image",
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+ description=textwrap.dedent(""),
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+ url="",
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+ data_url="",
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+ )
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+ ]
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+
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+ DEFAULT_CONFIG_NAME = "image"
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+
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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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+ "id": datasets.Value("string"),
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+ "file": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=("file",),
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+ homepage=self.config.url,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ DL_URLS = [
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+ f"https://huggingface.co/datasets/Narsil/image_dummy/raw/main/{name}"
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+ for name in ["lena.png", "parrots.png", "tree.png"]
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+ ]
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+ archive_path = dl_manager.download_and_extract(DL_URLS)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ gen_kwargs={"archive_path": archive_path},
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+ ),
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+ ]
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+
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+ def _generate_examples(self, archive_path):
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+ """Generate examples."""
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+ for i, filename in enumerate(archive_path):
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+ key = str(i)
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+ example = {
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+ "id": key,
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+ "file": filename,
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+ }
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+ yield key, example
image_dummy.py.lock ADDED
File without changes
lena.png ADDED
parrots.png ADDED
sample1.flac ADDED
Binary file (94.3 kB). View file
 
tree.png ADDED