Initial commit.

image_dummy.py

@@ -0,0 +1,96 @@
+# 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