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import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_CITATION = """"""
_DESCRIPTION = """ParsynthOCR-200k: A synthetic dataset for OCR. (A 200k samples preview)"""
_DOWNLOAD_URLS = {
"train": "https://huggingface.co/datasets/hezarai/parsynth-ocr-200k/resolve/main/annotations_train.csv",
"test": "https://huggingface.co/datasets/hezarai/parsynth-ocr-200k/resolve/main/annotations_test.csv",
"data": "https://huggingface.co/datasets/hezarai/parsynth-ocr-200k/resolve/main/images.zip",
}
ZIP_IMAGES_DIR = "parsynth-ocr-200k"
class ParsynthOCR200KConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super(ParsynthOCR200KConfig, self).__init__(**kwargs)
class ParsynthOCR200K(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
ParsynthOCR200KConfig(
name="Parsynth200K",
version=datasets.Version("1.0.0"),
description=_DESCRIPTION,
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"image_path": datasets.Value("string"),
"text": datasets.Value("string"),
}
),
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""
Return SplitGenerators.
"""
train_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["train"])
test_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["test"])
archive_path = dl_manager.download(_DOWNLOAD_URLS["data"])
images_dir = dl_manager.extract(archive_path) if not dl_manager.is_streaming else ""
images_dir = os.path.join(images_dir, ZIP_IMAGES_DIR)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={"annotations_file": train_path, "images_dir": images_dir}
),
datasets.SplitGenerator(
name=datasets.Split.TEST, gen_kwargs={"annotations_file": test_path, "images_dir": images_dir}
),
]
def _generate_examples(self, annotations_file, images_dir):
logger.info("⏳ Generating examples from = %s", annotations_file)
with open(annotations_file, encoding="utf-8") as csv_file:
csv_reader = csv.reader(csv_file, quotechar='"', skipinitialspace=True)
# Skip header
next(csv_reader, None)
for id_, row in enumerate(csv_reader):
filename, text = row
image_path = os.path.join(images_dir, filename)
yield id_, {"image_path": image_path, "text": text}
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