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wmt14_translate

  • Description:

Translate dataset based on the data from statmt.org.

Versions exists for the different years using a combination of multiple data sources. The base wmt_translate allows you to create your own config to choose your own data/language pair by creating a custom tfds.translate.wmt.WmtConfig.

config = tfds.translate.wmt.WmtConfig(
    version="0.0.1",
    language_pair=("fr", "de"),
    subsets={
        tfds.Split.TRAIN: ["commoncrawl_frde"],
        tfds.Split.VALIDATION: ["euelections_dev2019"],
    },
)
builder = tfds.builder("wmt_translate", config=config)
  • Homepage: http://www.statmt.org/wmt14/translation-task.html
  • Source code: tfds.translate.wmt14.Wmt14Translate
  • Versions:
    • 1.0.0 (default): No release notes.
  • Dataset size: Unknown size
  • Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/manual/wmt14_translate/):
    Some of the wmt configs here, require a manual download. Please look into wmt.py to see the exact path (and file name) that has to be downloaded.
  • Auto-cached (documentation): No
  • 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
{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}
}

wmt14_translate/cs-en (default config)

  • Config description: WMT 2014 cs-en translation task dataset.
  • Download size: 1.58 GiB
  • Splits:
Split Examples
'test' 3,003
'train' 15,786,979
'validation' 3,000
  • Features:
Translation({
    'cs': Text(shape=(), dtype=tf.string),
    'en': Text(shape=(), dtype=tf.string),
})

wmt14_translate/de-en

  • Config description: WMT 2014 de-en translation task dataset.
  • Download size: 1.58 GiB
  • Splits:
Split Examples
'test' 3,003
'train' 4,508,785
'validation' 3,000
  • Features:
Translation({
    'de': Text(shape=(), dtype=tf.string),
    'en': Text(shape=(), dtype=tf.string),
})

wmt14_translate/fr-en

  • Config description: WMT 2014 fr-en translation task dataset.
  • Download size: 6.20 GiB
  • Splits:
Split Examples
'test' 3,003
'train' 40,836,876
'validation' 3,000
  • Features:
Translation({
    'en': Text(shape=(), dtype=tf.string),
    'fr': Text(shape=(), dtype=tf.string),
})

wmt14_translate/hi-en

  • Config description: WMT 2014 hi-en translation task dataset.
  • Download size: 44.65 MiB
  • Splits:
Split Examples
'test' 2,507
'train' 313,748
'validation' 520
  • Features:
Translation({
    'en': Text(shape=(), dtype=tf.string),
    'hi': Text(shape=(), dtype=tf.string),
})

wmt14_translate/ru-en

  • Config description: WMT 2014 ru-en translation task dataset.
  • Download size: 998.38 MiB
  • Splits:
Split Examples
'test' 3,003
'train' 2,486,965
'validation' 3,000
  • Features:
Translation({
    'en': Text(shape=(), dtype=tf.string),
    'ru': Text(shape=(), dtype=tf.string),
})