import json from collections import defaultdict from pathlib import Path from datasets import ( DatasetInfo, DownloadManager, Features, GeneratorBasedBuilder, Image, Split, SplitGenerator, Value, ) _URLS = [f"data/{i:0>5}.tar" for i in range(2123)] class Laion2bMultiKoreanSubsetWithImage(GeneratorBasedBuilder): VERSION = "0.1.3" def _info(self): return DatasetInfo( description="laion2b_multi_korean_subset data with images", features=Features( { "image": Image(), "text": Value("string"), "width": Value("int32"), "height": Value("int32"), } ), supervised_keys=None, license="cc-by-4.0", version=self.VERSION, ) def _split_generators(self, dl_manager: DownloadManager): downloaded = dl_manager.download(_URLS) return [ SplitGenerator( name=Split.TRAIN, gen_kwargs={ "archives": [ dl_manager.iter_archive(archive) for archive in downloaded ] }, ) ] def _generate_examples(self, archives): idx = 0 temp = defaultdict(dict) for archive in archives: iter_archive = iter(archive) while True: # for tarfile.ReadError try: path, file = next(iter_archive) except Exception: break if path.endswith(".txt"): continue file_id = Path(path).stem if path.endswith(".json"): try: meta = json.loads(file.read()) except Exception: continue temp[file_id]["text"] = meta["caption"] temp[file_id]["width"] = meta["width"] temp[file_id]["height"] = meta["height"] if "image" in temp[file_id]: yield idx, temp.pop(file_id) idx += 1 elif path.endswith(".webp"): try: temp[file_id]["image"] = {"path": path, "bytes": file.read()} except Exception: continue if "text" in temp[file_id]: yield idx, temp.pop(file_id) idx += 1 temp.clear()