|
import csv |
|
import os |
|
|
|
import datasets |
|
|
|
logger = datasets.logging.get_logger(__name__) |
|
|
|
_CITATION = """""" |
|
|
|
_DESCRIPTION = """Flickr30k filtered and translated to Persian made by Sajjad Ayoubi https://www.kaggle.com/datasets/sajjadayobi360/flickrfa""" |
|
|
|
_DOWNLOAD_URLS = { |
|
"train": "https://huggingface.co./datasets/hezarai/flickr30k-fa/resolve/main/annotations_train.csv", |
|
"test": "https://huggingface.co./datasets/hezarai/flickr30k-fa/resolve/main/annotations_test.csv", |
|
"data": "https://huggingface.co./datasets/hezarai/flickr30k-fa/resolve/main/images.zip", |
|
} |
|
|
|
ZIP_IMAGES_DIR = "images" |
|
|
|
|
|
class Flickr30kFaConfig(datasets.BuilderConfig): |
|
def __init__(self, **kwargs): |
|
super(Flickr30kFaConfig, self).__init__(**kwargs) |
|
|
|
|
|
class Flickr30kFa(datasets.GeneratorBasedBuilder): |
|
BUILDER_CONFIGS = [ |
|
Flickr30kFaConfig( |
|
name="Persian flickr30k", |
|
version=datasets.Version("1.0.0"), |
|
description=_DESCRIPTION, |
|
), |
|
] |
|
|
|
def _info(self): |
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=datasets.Features( |
|
{ |
|
"image_path": datasets.Value("string"), |
|
"label": 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) |
|
|
|
|
|
next(csv_reader, None) |
|
|
|
for id_, row in enumerate(csv_reader): |
|
filename, label = row |
|
image_path = os.path.join(images_dir, filename) |
|
yield id_, {"image_path": image_path, "label": label} |
|
|
