Datasets:

khalidalt
/

xtd_11

	from datasets import DatasetDict, load_dataset, SplitGenerator, Split
	import datasets
	import json

	_Base_url = "https://huggingface.co/datasets/khalidalt/xtd_11/resolve/main/test/"
	_Languages = ["ar", "de", "en", "es", "fr", "jp", "ko", "pl", "ru", "tr", "zh"] # List all your languages here

	class XTD_11Config(datasets.BuilderConfig):
	""" Builder config for Joud Dataset. """

	def __init__(self, subset, **kwargs):
	super(XTD_11Config, self).__init__(**kwargs)

	if subset !="all":

	self.subset = [subset]
	else:
	self.subset = _Languages


	class XTD_11(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("1.0.0")
	BUILDER_CONFIGS_CLASS = XTD_11Config
	BUILDER_CONFIGS = [
	XTD_11Config(name=subset,
	subset=subset,
	version=datasets.Version("1.1.0", ""),
	description='')
	for subset in _Languages
	] + [
	XTD_11Config(
	name = "all",
	subset="all",
	version=datasets.Version("1.1.0", ""),
	description='')
	]
	def _info(self):
	# Assumes all files have the same structure. Adjust as needed.
	return datasets.DatasetInfo(
	# This is a placeholder, adjust according to your dataset structure
	features=datasets.Features({
	"text": datasets.Value("string"),
	"image_name": datasets.Value("string"),
	"url": datasets.Value("string"),
	}),
	description="A benchmark to test model capability in image retrieval named xtd.",
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	# Define your base URL or local path where the files are located
	data_urls = [f"{_Base_url}{lang}.json" for lang in self.config.subset]

	# Generate splits for each language
	return [datasets.SplitGenerator(
	name=datasets.Split.TEST,
	# Assuming the use of URLs. For local files, adjust accordingly.
	gen_kwargs={"filepaths": dl_manager.download(data_urls)}
	)]



	def _generate_examples(self, filepaths=None):
	"""Yields examples."""
	# This method needs to handle both single and multiple filepaths
	# Adjust the logic based on how you want to load and yield data from your JSON files
	id_ = 0
	for filepath in filepaths:
	# Load data from a single file
	with open(filepath, encoding="utf-8") as f:
	for row in f:
	if row:

	data = json.loads(row)
	yield id_, data
	id_ +=1