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# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and 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.
# Lint as: python3
"""WMT18: Translate dataset."""
import datasets
from .wmt_utils import CWMT_SUBSET_NAMES, Wmt, WmtConfig
_URL = "http://www.statmt.org/wmt18/translation-task.html"
_CITATION = """\
@InProceedings{bojar-EtAl:2018:WMT1,
author = {Bojar, Ond\v{r}ej and Federmann, Christian and Fishel, Mark
and Graham, Yvette and Haddow, Barry and Huck, Matthias and
Koehn, Philipp and Monz, Christof},
title = {Findings of the 2018 Conference on Machine Translation (WMT18)},
booktitle = {Proceedings of the Third Conference on Machine Translation,
Volume 2: Shared Task Papers},
month = {October},
year = {2018},
address = {Belgium, Brussels},
publisher = {Association for Computational Linguistics},
pages = {272--307},
url = {http://www.aclweb.org/anthology/W18-6401}
}
"""
_LANGUAGE_PAIRS = [(lang, "en") for lang in ["cs", "de", "et", "fi", "kk", "ru", "tr", "zh"]]
class Wmt18(Wmt):
"""WMT 18 translation datasets for all {xx, "en"} language pairs."""
# Version history:
# 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
BUILDER_CONFIGS = [
WmtConfig( # pylint:disable=g-complex-comprehension
description="WMT 2018 %s-%s translation task dataset." % (l1, l2),
url=_URL,
citation=_CITATION,
language_pair=(l1, l2),
version=datasets.Version("1.0.0"),
)
for l1, l2 in _LANGUAGE_PAIRS
]
@property
def manual_download_instructions(self):
if self.config.language_pair[1] in ["cs", "hi", "ru"]:
return "Please download the data manually as explained. TODO(PVP)"
@property
def _subsets(self):
return {
datasets.Split.TRAIN: [
"europarl_v7",
"europarl_v8_18",
"paracrawl_v1",
"commoncrawl",
"newscommentary_v13",
"czeng_17",
"yandexcorpus",
"wikiheadlines_fi",
"wikiheadlines_ru",
"setimes_2",
"uncorpus_v1",
"rapid_2016",
]
+ CWMT_SUBSET_NAMES,
datasets.Split.VALIDATION: ["newsdev2018", "newstest2017", "newstestB2017"],
datasets.Split.TEST: ["newstest2018"],
}