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import os
from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Version, Features, Value, Sequence, Image, Split
_CITATION = """\
@inproceedings{lin2014microsoft,
title={Microsoft coco: Common objects in context},
author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
pages={740--755},
year={2014},
organization={Springer}
}
"""
_DESCRIPTION = """\
Code and datasets for "Microsoft COCO: Common Objects in Context".
"""
_HOMEPAGE = "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image"
_LICENSE = "Null"
class SugarCrepeDataset(GeneratorBasedBuilder):
VERSION = Version("1.0.0")
def _info(self):
return DatasetInfo(
description=_DESCRIPTION,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
features=Features(
{
"images": Image(),
"sentences": Sequence(Value("string")),
"cocoid": Value("string"),
}
),
)
def _split_generators(self, dl_manager):
urls_to_download = {
"images": "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image/resolve/main/images.zip",
"examples": "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image/resolve/main/examples.jsonl",
}
downloaded_files = dl_manager.download_and_extract(urls_to_download)
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={
"examples_file": downloaded_files["examples"],
"images_dir": os.path.join(downloaded_files["images"]),
},
),
]
def _generate_examples(self, examples_file, images_dir):
with open(examples_file, "r", encoding="utf-8") as f:
for idx, line in enumerate(f):
data = eval(line)
image_path = os.path.join(images_dir, data["filename"])
yield idx, {
"images": image_path,
"sentences": data["sentences"],
"cocoid": data["cocoid"],
}
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