# 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 """WMT15: Translate dataset.""" import datasets from .wmt_utils import Wmt, WmtConfig _URL = "http://www.statmt.org/wmt15/translation-task.html" _CITATION = """ @InProceedings{bojar-EtAl:2015:WMT, author = {Bojar, Ond\v{r}ej and Chatterjee, Rajen and Federmann, Christian and Haddow, Barry and Huck, Matthias and Hokamp, Chris and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Scarton, Carolina and Specia, Lucia and Turchi, Marco}, title = {Findings of the 2015 Workshop on Statistical Machine Translation}, booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation}, month = {September}, year = {2015}, address = {Lisbon, Portugal}, publisher = {Association for Computational Linguistics}, pages = {1--46}, url = {http://aclweb.org/anthology/W15-3001} } """ _LANGUAGE_PAIRS = [(lang, "en") for lang in ["cs", "de", "fi", "fr", "ru"]] class Wmt15(Wmt): """WMT 15 translation datasets for all {xx, "en"} language pairs.""" BUILDER_CONFIGS = [ WmtConfig( # pylint:disable=g-complex-comprehension description="WMT 2015 %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_16", "commoncrawl", "multiun", "newscommentary_v10", "gigafren", "czeng_10", "yandexcorpus", "wikiheadlines_fi", "wikiheadlines_ru", ], datasets.Split.VALIDATION: ["newsdev2015", "newsdiscussdev2015", "newstest2014"], datasets.Split.TEST: ["newstest2015", "newsdiscusstest2015"], }