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# 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{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 = "http://opus.nlpl.eu/EiTB-ParCC.php"
_URL = "http://opus.nlpl.eu/download.php?f=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
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