Update parquet files

kanji.tar.gz → default/kanjis2radicals-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:acfae37c5f4473e4a8b4f45c73960457eaea4c7272e835b80b4fa8578ad78097
-size 4624662
+oid sha256:a858c504fcd4cb98f78916069fc805d134b7c3cead6b3f45c8ed49b402fbefd8
+size 5028071

kanjis2radicals.py

@@ -1,66 +0,0 @@
-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.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(),
-                    "meta": {
-                        "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(_METADATA_URL)
-        images_path = dl_manager.download(_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):
-        radicals = []
-        with open(metadata_path, encoding="utf-8") as f:
-            for line in f:
-                metadata = json.loads(line)
-                radicals.append(metadata)
-
-        for idx, (image_path, image) in enumerate(images_iter):
-            yield image_path, {
-                "meta": radicals[idx],
-                "kanji_image": image.read(),
-            }
-