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wmt13 / wmt13.py

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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
	"""WMT13: Translate dataset."""

	import datasets

	from .wmt_utils import Wmt, WmtConfig


	_URL = "http://www.statmt.org/wmt13/translation-task.html"
	_CITATION = """
	@InProceedings{bojar-EtAl:2013:WMT,
	author = {Bojar, Ond\v{r}ej and Buck, Christian and Callison-Burch, Chris and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Monz, Christof and Post, Matt and Soricut, Radu and Specia, Lucia},
	title = {Findings of the 2013 {Workshop on Statistical Machine Translation}},
	booktitle = {Proceedings of the Eighth Workshop on Statistical Machine Translation},
	month = {August},
	year = {2013},
	address = {Sofia, Bulgaria},
	publisher = {Association for Computational Linguistics},
	pages = {1--44},
	url = {http://www.aclweb.org/anthology/W13-2201}
	}
	"""

	_LANGUAGE_PAIRS = [(lang, "en") for lang in ["es", "cs", "de", "fr", "ru"]]


	class Wmt13(Wmt):
	"""WMT 13 translation datasets for all {xx, "en"} language pairs."""

	BUILDER_CONFIGS = [
	WmtConfig( # pylint:disable=g-complex-comprehension
	description="WMT 2013 %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 _subsets(self):
	return {
	datasets.Split.TRAIN: [
	"commoncrawl",
	"europarl_v7",
	"multiun",
	"newscommentary_v10",
	],
	datasets.Split.VALIDATION: ["newstest2012"],
	datasets.Split.TEST: ["newstest2013"],
	}