Upload fbanimehq.py

fbanimehq.py

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+import os
+import datasets
+import PIL
+from datasets import DownloadManager, DatasetInfo
+
+_DESCRIPTION = """\
+FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 × 512.
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/skytnt/fbanimehq"
+_URL_BASE = "https://huggingface.co/datasets/skytnt/fbanimehq/resolve/main/data/"
+_URLS = [
+    _URL_BASE + "fbanimehq-00.zip",
+    _URL_BASE + "fbanimehq-01.zip",
+    _URL_BASE + "fbanimehq-02.zip",
+    _URL_BASE + "fbanimehq-03.zip",
+    _URL_BASE + "fbanimehq-04.zip",
+]
+
+
+class FBAnimeHQ(datasets.GeneratorBasedBuilder):
+
+    def _info(self) -> DatasetInfo:
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager: DownloadManager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files})]
+
+    def _generate_examples(self, filepath):
+        for path in filepath:
+            all_fnames = {os.path.relpath(os.path.join(root, fname), start=path)
+                          for root, _dirs, files in os.walk(path) for fname in files}
+            image_fnames = sorted(fname for fname in all_fnames
+                                  if os.path.splitext(fname)[1].lower() in PIL.Image.EXTENSION)
+            for image_fname in image_fnames:
+                yield image_fname, {"image": os.path.join(path, image_fname)}