# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Lint as: python3
"""The WMT EnDe Translate dataset used by the Tensor2Tensor library."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow_datasets.public_api as tfds
from tensorflow_datasets.translate import wmt

_URL = "https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/translate_ende.py"
_CITATION = """
@InProceedings{bojar-EtAl:2014:W14-33,
  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}},
  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},
  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},
  month     = {June},
  year      = {2014},
  address   = {Baltimore, Maryland, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {12--58},
  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}
}
"""


class WmtT2tTranslate(wmt.WmtTranslate):
  """The WMT EnDe Translate dataset used by the Tensor2Tensor library."""

  BUILDER_CONFIGS = [
      wmt.WmtConfig(  # pylint:disable=g-complex-comprehension
          description="WMT T2T EnDe translation task dataset.",
          url=_URL,
          citation=_CITATION,
          language_pair=("de", "en"),
          version=tfds.core.Version("1.0.0"),
      )
  ]

  @property
  def _subsets(self):
    return {
        tfds.Split.TRAIN: [
            "europarl_v7", "commoncrawl", "newscommentary_v13"],
        tfds.Split.VALIDATION: [
            "newstest2013"
        ],
        tfds.Split.TEST: [
            "newstest2014"
        ]
    }