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Browse files- wmt_t2t.py +0 -64
wmt_t2t.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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"""The WMT EnDe Translate dataset used by the Tensor2Tensor library."""
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import datasets
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from .wmt_utils import Wmt, WmtConfig
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_URL = "https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/translate_ende.py"
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_CITATION = """
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@InProceedings{bojar-EtAl:2014:W14-33,
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author = {Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna, Ale\v{s}},
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title = {Findings of the 2014 Workshop on Statistical Machine Translation},
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booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},
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month = {June},
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year = {2014},
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address = {Baltimore, Maryland, USA},
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publisher = {Association for Computational Linguistics},
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pages = {12--58},
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url = {http://www.aclweb.org/anthology/W/W14/W14-3302}
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}
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"""
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class WmtT2t(Wmt):
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"""The WMT EnDe Translate dataset used by the Tensor2Tensor library."""
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BUILDER_CONFIGS = [
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WmtConfig( # pylint:disable=g-complex-comprehension
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description="WMT T2T EnDe translation task dataset.",
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url=_URL,
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citation=_CITATION,
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language_pair=("de", "en"),
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version=datasets.Version("1.0.0"),
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)
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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: ["europarl_v7", "commoncrawl", "newscommentary_v13"],
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datasets.Split.VALIDATION: ["newstest2013"],
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datasets.Split.TEST: ["newstest2014"],
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}
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