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Dataset: wmt17 🏷
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from datasets import load_dataset dataset = load_dataset("wmt17")


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Table of Contents

Dataset Description

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

More Information Needed


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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances


  • Size of downloaded dataset files: 1700.58 MB
  • Size of the generated dataset: 288.10 MB
  • Total amount of disk used: 1988.68 MB

An example of 'train' 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 Sample Size

name train validation test
cs-en 1018291 2999 3005

Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

  author    = {Bojar, Ond{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Graham, Yvette  and  Haddow, Barry  and  Huang, Shujian  and  Huck, Matthias  and  Koehn, Philipp  and  Liu, Qun  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Post, Matt  and  Rubino, Raphael  and  Specia, Lucia  and  Turchi, Marco},
  title     = {Findings of the 2017 Conference on Machine Translation (WMT17)},
  booktitle = {Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {169--214},
  url       = {}