|
import datasets |
|
import json |
|
import re |
|
|
|
_DESCRIPTION = """\ |
|
Contains radical images with radicals ids from WaniKani or https://api.robanohashi.org/docs/index.html |
|
""" |
|
|
|
_METADATA_URL = "https://huggingface.co/datasets/martingrzzler/radicals/raw/main/radicals_metadata.jsonl" |
|
_IMAGES_URL = "https://huggingface.co/datasets/martingrzzler/radicals/resolve/main/radicals.tar.gz" |
|
|
|
|
|
class Radicals(datasets.GeneratorBasedBuilder): |
|
"""Radicals dataset.""" |
|
|
|
def _info(self): |
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=datasets.Features( |
|
{ |
|
"radical_image": datasets.Image(), |
|
"meta": { |
|
"id": datasets.Value("int32"), |
|
"characters": datasets.Value("string"), |
|
"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 = {} |
|
pattern = r"/(\d+)" |
|
with open(metadata_path, encoding="utf-8") as f: |
|
for line in f: |
|
metadata = json.loads(line) |
|
radicals[metadata["id"]] = metadata |
|
|
|
for idx, (image_path, image) in enumerate(images_iter): |
|
id = int(re.search(pattern, image_path).group(1)) |
|
yield image_path, { |
|
"meta": radicals[id], |
|
"radical_image": image.read(), |
|
} |
|
|
|
|