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Dataset Card for "wmt18"

Dataset Summary

Translate dataset based on the data from

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 datasets.translate.wmt.WmtConfig.

config = datasets.wmt.WmtConfig(
    language_pair=("fr", "de"),
        datasets.Split.TRAIN: ["commoncrawl_frde"],
        datasets.Split.VALIDATION: ["euelections_dev2019"],
builder = datasets.builder("wmt_translate", config=config)

Supported Tasks and Leaderboards

More Information Needed


More Information Needed

Dataset Structure

Data Instances


  • Size of downloaded dataset files: 1935.34 MB
  • Size of the generated dataset: 1394.65 MB
  • Total amount of disk used: 3329.99 MB

An example of 'validation' looks as follows.

Data Fields

The data fields are the same among all splits.


  • translation: a multilingual string variable, with possible languages including cs, en.

Data Splits

name train validation test
cs-en 11046024 3005 2983

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed


Annotation process

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Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

More Information Needed

Citation Information

  author    = {Bojar, Ond{r}ej  and  Federmann, Christian  and  Fishel, Mark
    and Graham, Yvette  and  Haddow, Barry  and  Huck, Matthias  and
    Koehn, Philipp  and  Monz, Christof},
  title     = {Findings of the 2018 Conference on Machine Translation (WMT18)},
  booktitle = {Proceedings of the Third Conference on Machine Translation,
    Volume 2: Shared Task Papers},
  month     = {October},
  year      = {2018},
  address   = {Belgium, Brussels},
  publisher = {Association for Computational Linguistics},
  pages     = {272--307},
  url       = {}


Thanks to @thomwolf, @patrickvonplaten for adding this dataset.

Update on GitHub
Papers with Code