Datasets:
generated_reviews_enth

	"""`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)"""


	import json
	import os

	import datasets


	_CITATION = """\
	@article{lowphansirikul2020scb,
	title={scb-mt-en-th-2020: A Large English-Thai Parallel Corpus},
	author={Lowphansirikul, Lalita and Polpanumas, Charin and Rutherford, Attapol T and Nutanong, Sarana},
	journal={arXiv preprint arXiv:2007.03541},
	year={2020}
	}
	"""

	_DESCRIPTION = """\
	`generated_reviews_enth`
	Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)
	`generated_reviews_enth` is created as part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf) for machine translation task.
	This dataset (referred to as `generated_reviews_yn` in [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)) are English product reviews
	generated by [CTRL](https://arxiv.org/abs/1909.05858), translated by Google Translate API and annotated as accepted or rejected (`correct`)
	based on fluency and adequacy of the translation by human annotators.
	This allows it to be used for English-to-Thai translation quality esitmation (binary label), machine translation, and sentiment analysis.
	"""


	class GeneratedReviewsEnthConfig(datasets.BuilderConfig):
	"""BuilderConfig for GeneratedReviewsEnth."""

	def __init__(self, **kwargs):
	"""BuilderConfig for GeneratedReviewsEnth.

	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(GeneratedReviewsEnthConfig, self).__init__(**kwargs)
	self.language_pair = ("en", "th")


	class GeneratedReviewsEnth(datasets.GeneratorBasedBuilder):
	"""`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)"""

	_DOWNLOAD_URL = "https://github.com/vistec-AI/generated_reviews_enth/raw/main/data.zip"
	_TRAIN_FILE = "train.jsonl"
	_VAL_FILE = "valid.jsonl"
	_TEST_FILE = "test.jsonl"
	BUILDER_CONFIG_CLASS = GeneratedReviewsEnthConfig
	BUILDER_CONFIGS = [
	GeneratedReviewsEnthConfig(
	name="generated_reviews_enth",
	version=datasets.Version("1.0.0"),
	description="`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)",
	),
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"translation": datasets.features.Translation(languages=self.config.language_pair),
	"review_star": datasets.Value("int32"),
	"correct": datasets.features.ClassLabel(names=["neg", "pos"]),
	}
	),
	supervised_keys=None,
	homepage="https://github.com/vistec-AI/generated_reviews_enth",
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	arch_path = dl_manager.download_and_extract(self._DOWNLOAD_URL)
	data_dir = os.path.join(arch_path, "data")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, self._TRAIN_FILE)}
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, self._VAL_FILE)}
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, self._TEST_FILE)}
	),
	]

	def _generate_examples(self, filepath):
	"""Generate generated_reviews_enth examples."""
	source, target = self.config.language_pair
	with open(filepath, encoding="utf-8") as f:
	for id_, row in enumerate(f):
	data = json.loads(row)
	yield id_, {
	"translation": {source: data["en_segment"], target: data["th_segment"]},
	"review_star": data["review_star"],
	"correct": data["correct"],
	}