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.gitattributes

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image/image_dummy-test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b062f01e946cf8f616f170a35bfd04f9df638041c601d729fff582d92306164a
+size 2430

image_dummy.py

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