| import os |
| import datasets |
| from huggingface_hub import HfApi |
| from datasets import DownloadManager, DatasetInfo |
| from datasets.data_files import DataFilesDict |
|
|
| _EXTENSION = [".png", ".jpg", ".jpeg"] |
| _NAME = "animelover/danbooru2022" |
| _REVISION = "main" |
|
|
|
|
| class DanbooruDataset(datasets.GeneratorBasedBuilder): |
| BUILDER_CONFIGS = [ |
| |
| datasets.BuilderConfig( |
| name="0-sfw", |
| description="sfw subset", |
| ), |
| datasets.BuilderConfig( |
| name="1-full", |
| description="full dataset", |
| ), |
| datasets.BuilderConfig( |
| name="2-tags", |
| description="only tags of dataset", |
| ), |
| ] |
|
|
| def _info(self) -> DatasetInfo: |
| if self.config.name == "2-tags": |
| features = { |
| "tags": datasets.Value("string"), |
| "post_id": datasets.Value("int64") |
| } |
| else: |
| features = { |
| "image": datasets.Image(), |
| "tags": datasets.Value("string"), |
| "post_id": datasets.Value("int64") |
| } |
| return datasets.DatasetInfo( |
| description=self.config.description, |
|
|
| features=datasets.Features(features), |
| supervised_keys=None, |
| citation="", |
| ) |
|
|
| 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=["zip", ".zip"], |
| ) |
| 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) |
| tags_path = os.path.join(path, os.path.splitext(image_fname)[0] + ".txt") |
| with open(tags_path, "r", encoding="utf-8") as f: |
| tags = f.read() |
| if self.config.name == "0-sfw" and any(tag.strip() in nsfw_tags for tag in tags.split(",")): |
| continue |
| post_id = int(os.path.splitext(os.path.basename(image_fname))[0]) |
| if self.config.name == "2-tags": |
| yield image_fname, {"tags": tags, "post_id": post_id} |
| else: |
| yield image_fname, {"image": image_path, "tags": tags, "post_id": post_id} |
|
|
|
|
| nsfw_tags = ["nude", "completely nude", "topless", "bottomless", "sex", "oral", "fellatio gesture", "tentacle sex", |
| "nipples", "pussy", "vaginal", "pubic hair", "anus", "ass focus", "penis", "cum", "condom", "sex toy"] |
|
|
