# coding=utf-8
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"""WMT16: Translate dataset."""

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

_URL = "http://www.statmt.org/wmt16/translation-task.html"
_CITATION = """
@InProceedings{bojar-EtAl:2016:WMT1,
  author    = {Bojar, Ond\v{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Graham, Yvette  and  Haddow, Barry  and  Huck, Matthias  and  Jimeno Yepes, Antonio  and  Koehn, Philipp  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Neveol, Aurelie  and  Neves, Mariana  and  Popel, Martin  and  Post, Matt  and  Rubino, Raphael  and  Scarton, Carolina  and  Specia, Lucia  and  Turchi, Marco  and  Verspoor, Karin  and  Zampieri, Marcos},
  title     = {Findings of the 2016 Conference on Machine Translation},
  booktitle = {Proceedings of the First Conference on Machine Translation},
  month     = {August},
  year      = {2016},
  address   = {Berlin, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {131--198},
  url       = {http://www.aclweb.org/anthology/W/W16/W16-2301}
}
"""

_LANGUAGE_PAIRS = [
    (lang, "en") for lang in ["cs", "de", "fi", "ro", "ru", "tr"]
]


class Wmt16Translate(wmt.WmtTranslate):
  """WMT 16 translation datasets for all {xx, "en"} language pairs."""

  BUILDER_CONFIGS = [
      wmt.WmtConfig(  # pylint:disable=g-complex-comprehension
          description="WMT 2016 %s-%s translation task dataset." % (l1, l2),
          url=_URL,
          citation=_CITATION,
          language_pair=(l1, l2),
          version=tfds.core.Version("1.0.0"),
      )
      for l1, l2 in _LANGUAGE_PAIRS
  ]

  @property
  def _subsets(self):
    return {
        tfds.Split.TRAIN: [
            "europarl_v7",
            "europarl_v8_16",
            "commoncrawl",
            "newscommentary_v11",
            "czeng_16pre",
            "yandexcorpus",
            "wikiheadlines_fi",
            "wikiheadlines_ru",
            "setimes_2",
        ],
        tfds.Split.VALIDATION: ["newsdev2016", "newstest2015"],
        tfds.Split.TEST: ["newstest2016", "newstestB2016"],
    }
