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wmt18.py
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""WMT18: Translate dataset."""
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import datasets
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from .wmt_utils import CWMT_SUBSET_NAMES, Wmt, WmtConfig
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_URL = "http://www.statmt.org/wmt18/translation-task.html"
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_CITATION = """\
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@InProceedings{bojar-EtAl:2018:WMT1,
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author = {Bojar, Ond\v{r}ej and Federmann, Christian and Fishel, Mark
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and Graham, Yvette and Haddow, Barry and Huck, Matthias and
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Koehn, Philipp and Monz, Christof},
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title = {Findings of the 2018 Conference on Machine Translation (WMT18)},
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booktitle = {Proceedings of the Third Conference on Machine Translation,
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Volume 2: Shared Task Papers},
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month = {October},
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year = {2018},
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address = {Belgium, Brussels},
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publisher = {Association for Computational Linguistics},
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pages = {272--307},
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url = {http://www.aclweb.org/anthology/W18-6401}
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}
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"""
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_LANGUAGE_PAIRS = [(lang, "en") for lang in ["cs", "de", "et", "fi", "kk", "ru", "tr", "zh"]]
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class Wmt18(Wmt):
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"""WMT 18 translation datasets for all {xx, "en"} language pairs."""
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# Version history:
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# 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
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BUILDER_CONFIGS = [
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WmtConfig( # pylint:disable=g-complex-comprehension
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description="WMT 2018 %s-%s translation task dataset." % (l1, l2),
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url=_URL,
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citation=_CITATION,
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language_pair=(l1, l2),
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version=datasets.Version("1.0.0"),
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)
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for l1, l2 in _LANGUAGE_PAIRS
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]
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@property
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def manual_download_instructions(self):
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if self.config.language_pair[1] in ["cs", "hi", "ru"]:
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return "Please download the data manually as explained. TODO(PVP)"
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@property
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def _subsets(self):
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return {
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datasets.Split.TRAIN: [
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"europarl_v7",
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"europarl_v8_18",
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"paracrawl_v1",
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"commoncrawl",
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"newscommentary_v13",
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"czeng_17",
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"yandexcorpus",
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"wikiheadlines_fi",
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"wikiheadlines_ru",
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"setimes_2",
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"uncorpus_v1",
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"rapid_2016",
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]
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+ CWMT_SUBSET_NAMES,
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datasets.Split.VALIDATION: ["newsdev2018", "newstest2017", "newstestB2017"],
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datasets.Split.TEST: ["newstest2018"],
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}
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