wmt15_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/wmt15/translation-task.html

• Source code: tfds.translate.Wmt15Translate

• 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.

• Auto-cached (documentation): No

• Figure (tfds.show_examples): Not supported.

• Citation:

@InProceedings{bojar-EtAl:2015:WMT,
  author    = {Bojar, Ond
{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Haddow, Barry  and  Huck, Matthias  and  Hokamp, Chris  and  Koehn, Philipp  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Post, Matt  and  Scarton, Carolina  and  Specia, Lucia  and  Turchi, Marco},
  title     = {Findings of the 2015 Workshop on Statistical Machine Translation},
  booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation},
  month     = {September},
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  pages     = {1--46},
  url       = {http://aclweb.org/anthology/W15-3001}
}

wmt15_translate/cs-en (default config)

• Config description: WMT 2015 cs-en translation task dataset.

• Download size: 1.62 GiB

• Dataset size: 2.89 GiB

• Splits:

Split	Examples
'test'	2,656
'train'	15,793,126
'validation'	3,003

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	Translation
cs	Text		string
en	Text		string

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

• Examples (tfds.as_dataframe):

wmt15_translate/de-en

• Config description: WMT 2015 de-en translation task dataset.

• Download size: 1.62 GiB

• Dataset size: 1.37 GiB

• Splits:

Split	Examples
'test'	2,169
'train'	4,522,998
'validation'	3,003

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	Translation
de	Text		string
en	Text		string

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

• Examples (tfds.as_dataframe):

wmt15_translate/fi-en

• Config description: WMT 2015 fi-en translation task dataset.

• Download size: 260.51 MiB

• Dataset size: 623.22 MiB

• Splits:

Split	Examples
'test'	1,370
'train'	2,073,394
'validation'	1,500

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	Translation
en	Text		string
fi	Text		string

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

• Examples (tfds.as_dataframe):

wmt15_translate/fr-en

• Config description: WMT 2015 fr-en translation task dataset.

• Download size: 6.24 GiB

• Dataset size: 14.65 GiB

• Splits:

Split	Examples
'test'	1,500
'train'	40,853,298
'validation'	4,503

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	Translation
en	Text		string
fr	Text		string

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

• Examples (tfds.as_dataframe):

wmt15_translate/ru-en

• Config description: WMT 2015 ru-en translation task dataset.

• Download size: 1.02 GiB

• Dataset size: 843.90 MiB

• Splits:

Split	Examples
'test'	2,818
'train'	2,495,081
'validation'	3,003

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	Translation
en	Text		string
ru	Text		string

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

• Examples (tfds.as_dataframe):