Datasets:
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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.
"""Euroconst: A parallel corpus collected from the European Constitution for 21 language"""
import itertools
import os
import datasets
_CITATION = """\
J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. \
In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
"""
_DESCRIPTION = """\
A parallel corpus collected from the European Constitution for 21 language.
"""
_HOMEPAGE = "https://opus.nlpl.eu/EUconst/corpus/version/EUconst"
_LANGUAGES = [
"cs",
"da",
"de",
"el",
"en",
"es",
"et",
"fi",
"fr",
"ga",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"pl",
"pt",
"sk",
"sl",
"sv",
]
_LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2))
_BASE_URL = "https://object.pouta.csc.fi/OPUS-EUconst/v1/moses"
_URLS = {f"{l1}-{l2}": f"{_BASE_URL}/{l1}-{l2}.txt.zip" for l1, l2 in _LANGUAGE_PAIRS}
class OpusEuconst(datasets.GeneratorBasedBuilder):
"""Euroconst: A parallel corpus collected from the European Constitution for 21 language"""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=f"{l1}-{l2}", version=datasets.Version("1.0.0"), description=f"OPUS EUconst {l1}-{l2}"
)
for l1, l2 in _LANGUAGE_PAIRS
]
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(_URLS[self.config.name])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"source_file": os.path.join(data_dir, f"EUconst.{self.config.name}.{lang_pair[0]}"),
"target_file": os.path.join(data_dir, f"EUconst.{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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