Datasets:
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import os
from pathlib import Path
import datasets
_DESCRIPTION = """\
Captcha images dataset.
"""
_LICENSE = "wtfpl"
_DATA_DIR = "data"
class Captcha(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"image": datasets.Image(),
"solution": datasets.Value("string"),
}
),
license=_LICENSE,
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "train.tar.gz"))),
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "validation.tar.gz"))),
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "test.tar.gz"))),
},
),
]
def _generate_examples(self, images):
for file_path, file_obj in images:
yield file_path, {
"image": {"path": file_path, "bytes": file_obj.read()},
"solution": Path(file_path).name.split('.')[0],
}
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