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import os
import datasets
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/"
_EXTENSION = [".png", ".jpg"]
_URLS_HQ = [f"{_URL_BASE}fbanimehq-{i:02d}.zip" for i in range(12)]
_URLS_SMALL = [
# _URL_BASE + "fbanimesmall.zip",
]
class FBAnimeHQConfig(datasets.BuilderConfig):
def __init__(self, urls, **kwargs):
super(FBAnimeHQConfig, self).__init__(**kwargs)
self.urls = urls
class FBAnimeHQ(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
FBAnimeHQConfig(name="hq", urls=_URLS_HQ),
FBAnimeHQConfig(name="small", urls=_URLS_SMALL)
]
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):
dirs = dl_manager.download_and_extract(self.config.urls)
return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"dirs": dirs})]
def _generate_examples(self, dirs):
for path in dirs:
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 _EXTENSION)
for image_fname in image_fnames:
yield image_fname, {"image": os.path.join(path, image_fname)}
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