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import os
import pandas as pd
import zipfile
import datasets
from datasets import load_dataset
class SyntheticCyrillic(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
"path": datasets.Value("string"),
"name": datasets.Value("string")
}
)
)
def _split_generators(self, dl_manager):
_URLS = {"img": "img.zip", "labels": "gt.txt"}
data_paths = dl_manager.download_and_extract(_URLS)
return [datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"image_paths": dl_manager.iter_files(data_paths["img"]),
"labels_path": data_paths["labels"]
})]
def _generate_examples(self, image_paths, labels_path):
df = pd.read_csv(labels_path, sep=",", names=["path", "text"])
df["path"] = df.path.str[4:]
df.set_index("path", inplace=True)
for image_path in image_paths:
image_name = os.path.basename(image_path)
if image_name in df.index:
example = {
"image": image_path,
"text": df["text"][image_name],
"path": image_path,
"name": image_name
}
yield image_name, example
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