import json import os from pathlib import Path from PIL import Image import datasets import logging logger = datasets.logging.get_logger(__name__) logger.setLevel("INFO") stream_handler = logging.StreamHandler() logger.addHandler(stream_handler) """ - o.a/o.a.f/0011656044-53.layout.json file has been deleted because it was empty """ def load_json(json_path): with open(json_path, "r") as f: data = json.load(f) return data _CITATION = """ } """ _DESCRIPTION = """\ https://zenodo.org/record/6540454 """ class CDIPAnnotationsConfig(datasets.BuilderConfig): """BuilderConfig for FUNSD""" def __init__(self, **kwargs): """BuilderConfig for FUNSD. Args: **kwargs: keyword arguments forwarded to super. """ super(CDIPAnnotationsConfig, self).__init__(**kwargs) class CDIPAnnotations(datasets.GeneratorBasedBuilder): """Conll2003 dataset.""" BUILDER_CONFIGS = [ CDIPAnnotationsConfig( name="cdip-annotations", version=datasets.Version("1.0.0"), description="CDIP Annotations", ), ] def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "id": datasets.Value("string"), "words": datasets.Sequence(datasets.Value("string")), "bboxes": datasets.Sequence( datasets.Sequence(datasets.Value("int64")) ), } ), ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" # downloaded_file = dl_manager.download_and_extract("https://guillaumejaume.github.io/FUNSD/dataset.zip") return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "annot_root": f"/home/jinho/datasets/IIT-CDIP-annotations" }, ), ] def _generate_examples(self, annot_root): logger.info("⏳ Generating examples from = %s", annot_root) cnt = 0 for subfolder in sorted(list(os.listdir(annot_root))): # b.a, b.b subfolder_path = os.path.join(annot_root, subfolder) logger.info(f"{subfolder = }") for json_folder in os.listdir(subfolder_path): # b.a.p, b.a.c json_folder_path = os.path.join(subfolder_path, json_folder) json_paths = list(Path(json_folder_path).glob("**/*.json")) logger.info(f"{json_folder, len(json_paths) = }") for idx, json_path in enumerate(json_paths): words = [] bboxes = [] data = load_json(json_path) for block in data["blocks"]: for paragraph in block["paragraphs"]: for line in paragraph["lines"]: line_words = line["words"] line_texts = [w["text"] for w in line_words] line_bboxes = [w["box"] for w in line_words] words.extend(line_texts) bboxes.extend(line_bboxes) cnt += 1 yield cnt, { "id": str(json_path.name), "words": words, "bboxes": bboxes, }