Datasets:

Helsinki-NLP
/

eitb_parcc

	# coding=utf-8
	# Copyright 2020 The HuggingFace Datasets Authors.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	"""EiTB-ParCC: Parallel Corpus of Comparable News"""


	import os

	import datasets


	_CITATION = """\
	@inproceedings{etchegoyhen-gete-2020-handle,
	title = "Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation",
	author = "Etchegoyhen, Thierry and
	Gete, Harritxu",
	editor = "Calzolari, Nicoletta and
	B{\'e}chet, Fr{\'e}d{\'e}ric and
	Blache, Philippe and
	Choukri, Khalid and
	Cieri, Christopher and
	Declerck, Thierry and
	Goggi, Sara and
	Isahara, Hitoshi and
	Maegaard, Bente and
	Mariani, Joseph and
	Mazo, H{\'e}l{\`e}ne and
	Moreno, Asuncion and
	Odijk, Jan and
	Piperidis, Stelios",
	booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
	month = may,
	year = "2020",
	address = "Marseille, France",
	publisher = "European Language Resources Association",
	url = "https://aclanthology.org/2020.lrec-1.469",
	pages = "3799--3807",
	language = "English",
	ISBN = "979-10-95546-34-4",
	}
	@InProceedings{TIEDEMANN12.463,
	author = {J{\"o}rg Tiedemann},
	title = {Parallel Data, Tools and Interfaces in OPUS},
	booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
	year = {2012},
	month = {may},
	date = {23-25},
	address = {Istanbul, Turkey},
	editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
	publisher = {European Language Resources Association (ELRA)},
	isbn = {978-2-9517408-7-7},
	language = {english}
	}
	"""


	_DESCRIPTION = """\
	EiTB-ParCC: Parallel Corpus of Comparable News. A Basque-Spanish parallel corpus provided by \
	Vicomtech (https://www.vicomtech.org), extracted from comparable news produced by the \
	Basque public broadcasting group Euskal Irrati Telebista.
	"""


	_HOMEPAGE = "https://opus.nlpl.eu/EiTB-ParCC/corpus/version/EiTB-ParCC"

	_URL = "https://object.pouta.csc.fi/OPUS-EiTB-ParCC/v1/moses/es-eu.txt.zip"


	class EitbParcc(datasets.GeneratorBasedBuilder):
	"""EiTB-ParCC: Parallel Corpus of Comparable News"""

	VERSION = datasets.Version("1.0.0")

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(
	name="es-eu", version=datasets.Version("1.0.0"), description="A Basque-Spanish parallel"
	)
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	lang_pair = self.config.name.split("-")
	data_dir = dl_manager.download_and_extract(_URL)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"source_file": os.path.join(data_dir, f"EiTB-ParCC.{self.config.name}.{lang_pair[0]}"),
	"target_file": os.path.join(data_dir, f"EiTB-ParCC.{self.config.name}.{lang_pair[1]}"),
	},
	),
	]

	def _generate_examples(self, source_file, target_file):
	with open(source_file, encoding="utf-8") as f:
	source_sentences = f.read().split("\n")
	with open(target_file, encoding="utf-8") as f:
	target_sentences = f.read().split("\n")

	assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
	len(source_sentences),
	len(target_sentences),
	source_file,
	target_file,
	)

	source, target = tuple(self.config.name.split("-"))
	for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
	result = {"translation": {source: l1, target: l2}}
	yield idx, result