Upload kanjis2radicals.py

kanjis2radicals.py

@@ -0,0 +1,61 @@
+import datasets
+import json
+
+_DESCRIPTION = """\
+Contains Kanji images with corresponding radicals ids from WaniKani or https://api.robanohashi.org/docs/index.html
+"""
+
+_METADATA_URL = "https://huggingface.co/datasets/martingrzzler/kanjis2radicals/raw/main/kanji_metadata.jsonl"
+_IMAGES_URL = "https://huggingface.co/datasets/martingrzzler/kanjis2radicals/resolve/main/kanji_images.tar.gz"
+
+
+class Kanji2Radicals(datasets.GeneratorBasedBuilder):
+    """Kanji to radicals dataset."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "kanji_image": datasets.Image(),
+                    "radicals": {
+                        "id": datasets.Value("int32"),
+                        "characters": datasets.Value("string"),
+                        "meanings": datasets.Value("string"),
+                        "radicals": datasets.Sequence(
+                            {
+                                "characters": datasets.Value("string"),
+                                "id": datasets.Value("int32"),
+                                "slug": datasets.Value("string"),
+                            }
+                        ),
+                    },
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://robanohashi.org/",
+        )
+
+    def _split_generators(self, dl_manager):
+        metadata_path = dl_manager.download_and_extract(_METADATA_URL)
+        images_path = dl_manager.download_and_extract(_IMAGES_URL)
+        images_iter = dl_manager.iter_archive(images_path)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "metadata_path": metadata_path,
+                    "images_iter": images_iter,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, metadata_path, images_iter):
+        with open(metadata_path, encoding="utf-8") as f:
+            for line in f:
+                metadata = json.loads(line)
+                yield metadata["id"], {
+                    "kanji_image": next(images_iter).read(),
+                    "radicals": metadata,
+                }