Datasets:
newsph

	import os

	import datasets


	_CITATION = """\
	@article{cruz2020investigating,
	title={Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation},
	author={Jan Christian Blaise Cruz and Jose Kristian Resabal and James Lin and Dan John Velasco and Charibeth Cheng},
	journal={arXiv preprint arXiv:2010.11574},
	year={2020}
	}
	"""

	_DESCRIPTION = """\
	Large-scale dataset of Filipino news articles. Sourced for the NewsPH-NLI Project (Cruz et al., 2020).
	"""
	_URL = "https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks"
	_LICENSE = "GPL-3.0"
	_DATA_URL = "https://s3.us-east-2.amazonaws.com/blaisecruz.com/datasets/newsph"


	class NewsphConfig(datasets.BuilderConfig):
	def __init__(self, data_url, **kwargs):
	super(NewsphConfig, self).__init__(
	version=datasets.Version(
	"1.0.0",
	),
	**kwargs,
	)
	self.data_url = data_url


	class Newsph(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("1.0.0")
	BUILDER_CONFIGS = [
	NewsphConfig(
	name="newsph",
	data_url=_DATA_URL + "/" + "newsph.zip",
	description=_DESCRIPTION,
	),
	]

	BUILDER_CONFIG_CLASS = NewsphConfig

	def _info(self):
	return datasets.DatasetInfo(
	# This is the description that will appear on the datasets page.
	description=_DESCRIPTION,
	features=datasets.Features({"text": datasets.Value("string")}),
	supervised_keys=None,
	# Homepage of the dataset for documentation
	homepage=_URL,
	citation=_CITATION,
	license=_LICENSE,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	data_file = dl_manager.download_and_extract(self.config.data_url)
	data_dir = os.path.join(data_file, "newsph")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"data_file": os.path.join(data_dir, "train.txt"), "split": "train"},
	),
	]

	def _generate_examples(self, data_file, split):
	"""Yields examples."""
	with open(data_file, encoding="utf-8") as f:
	for idx, row in enumerate(f):
	if row.strip():
	yield idx, {"text": row}
	else:
	yield idx, {"text": ""}