| import os |
| import datasets |
| from huggingface_hub import HfApi |
| from datasets import DownloadManager, DatasetInfo |
| from datasets.data_files import DataFilesDict |
|
|
| _EXTENSION = [".png", ".jpg", ".jpeg", ".webp", ".bmp"] |
| _NAME = "nyanko7/danbooru2023" |
| _REVISION = "main" |
|
|
|
|
| class DanbooruDataset(datasets.GeneratorBasedBuilder): |
| BUILDER_CONFIGS = [ |
| |
| datasets.BuilderConfig(name="full"), |
| ] |
|
|
| def _info(self) -> DatasetInfo: |
| features = { |
| "image": datasets.Image(), |
| "post_id": datasets.Value("int64") |
| } |
| info = datasets.DatasetInfo( |
| features=datasets.Features(features), |
| supervised_keys=None, |
| citation="", |
| ) |
| return info |
|
|
| def _split_generators(self, dl_manager: DownloadManager): |
| hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0) |
| data_files = DataFilesDict.from_hf_repo( |
| {datasets.Split.TRAIN: ["**"]}, |
| dataset_info=hfh_dataset_info, |
| allowed_extensions=["tar", ".tar"], |
| ) |
| gs = [] |
| for split, files in data_files.items(): |
| downloaded_files = dl_manager.download_and_extract(files) |
| gs.append(datasets.SplitGenerator(name=split, gen_kwargs={"filepath": downloaded_files})) |
| return gs |
|
|
| 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 _EXTENSION], reverse=True) |
| for image_fname in image_fnames: |
| image_path = os.path.join(path, image_fname) |
| post_id = int(os.path.splitext(os.path.basename(image_fname))[0]) |
| yield image_fname, {"post_id": post_id} |
|
|
