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)

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: http://www.statmt.org/wmt14/translation-task.html

• Source code: tfds.translate.Wmt14Translate

• Versions:

  • 1.0.0 (default): No release notes.

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  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.

• Figure (tfds.show_examples): Not supported.

• 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

• Dataset size: 2.89 GiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

Translation({
    'cs': Text(shape=(), dtype=string),
    'en': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('cs', 'en')

• Examples (tfds.as_dataframe):

wmt14_translate/de-en

• Config description: WMT 2014 de-en translation task dataset.

• Download size: 1.58 GiB

• Dataset size: 1.36 GiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

Translation({
    'de': Text(shape=(), dtype=string),
    'en': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('de', 'en')

• Examples (tfds.as_dataframe):

wmt14_translate/fr-en

• Config description: WMT 2014 fr-en translation task dataset.

• Download size: 6.20 GiB

• Dataset size: 14.65 GiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

Translation({
    'en': Text(shape=(), dtype=string),
    'fr': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('fr', 'en')

• Examples (tfds.as_dataframe):

wmt14_translate/hi-en

• Config description: WMT 2014 hi-en translation task dataset.

• Download size: 44.65 MiB

• Dataset size: 77.53 MiB

• Auto-cached (documentation): Yes

• Splits:

• Feature structure:

Translation({
    'en': Text(shape=(), dtype=string),
    'hi': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('hi', 'en')

• Examples (tfds.as_dataframe):

wmt14_translate/ru-en

• Config description: WMT 2014 ru-en translation task dataset.

• Download size: 998.38 MiB

• Dataset size: 839.40 MiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

Translation({
    'en': Text(shape=(), dtype=string),
    'ru': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('ru', 'en')

• Examples (tfds.as_dataframe):