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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - cs
  - de
  - en
  - fi
  - fr
  - gu
  - kk
  - lt
  - ru
  - zh
license:
  - unknown
multilinguality:
  - translation
size_categories:
  - 10M<n<100M
source_datasets:
  - extended|europarl_bilingual
  - extended|news_commentary
  - extended|opus_paracrawl
  - extended|un_multi
task_categories:
  - translation
task_ids: []
pretty_name: WMT19
paperswithcode_id: null
dataset_info:
  - config_name: cs-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - cs
              - en
    splits:
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        num_examples: 7270695
      - name: validation
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        num_examples: 2983
    download_size: 2018537046
    dataset_size: 1315568223
  - config_name: de-en
    features:
      - name: translation
        dtype:
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            languages:
              - de
              - en
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        num_examples: 38690334
      - name: validation
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      - name: translation
        dtype:
          translation:
            languages:
              - fi
              - en
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      - name: validation
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        num_examples: 3000
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  - config_name: gu-en
    features:
      - name: translation
        dtype:
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            languages:
              - gu
              - en
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      - name: validation
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  - config_name: kk-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - kk
              - en
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        num_examples: 126583
      - name: validation
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        num_examples: 2066
    download_size: 41558315
    dataset_size: 10004295
  - config_name: lt-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - lt
              - en
    splits:
      - name: train
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        num_examples: 2344893
      - name: validation
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        num_examples: 2000
    download_size: 411309952
    dataset_size: 513626314
  - config_name: ru-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - en
    splits:
      - name: train
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        num_examples: 37492126
      - name: validation
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        num_examples: 3000
    download_size: 4134147853
    dataset_size: 13722462774
  - config_name: zh-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - zh
              - en
    splits:
      - name: train
        num_bytes: 5584359748
        num_examples: 25984574
      - name: validation
        num_bytes: 1107522
        num_examples: 3981
    download_size: 2195879129
    dataset_size: 5585467270
  - config_name: fr-de
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - de
    splits:
      - name: train
        num_bytes: 2358413485
        num_examples: 9824476
      - name: validation
        num_bytes: 441426
        num_examples: 1512
    download_size: 757345846
    dataset_size: 2358854911

Dataset Card for "wmt19"

Table of Contents

Dataset Description

Dataset Summary

Warning: There are issues with the Common Crawl corpus data (training-parallel-commoncrawl.tgz):

  • Non-English files contain many English sentences.
  • Their "parallel" sentences in English are not aligned: they are uncorrelated with their counterpart.

We have contacted the WMT organizers.

Translation dataset based on the data from statmt.org.

Versions exist for different years using a combination of data sources. The base wmt allows you to create a custom dataset by choosing your own data/language pair. This can be done as follows:

from datasets import inspect_dataset, load_dataset_builder

inspect_dataset("wmt19", "path/to/scripts")
builder = load_dataset_builder(
    "path/to/scripts/wmt_utils.py",
    language_pair=("fr", "de"),
    subsets={
        datasets.Split.TRAIN: ["commoncrawl_frde"],
        datasets.Split.VALIDATION: ["euelections_dev2019"],
    },
)

# Standard version
builder.download_and_prepare()
ds = builder.as_dataset()

# Streamable version
ds = builder.as_streaming_dataset()

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

cs-en

  • Size of downloaded dataset files: 2.02 GB
  • Size of the generated dataset: 1.32 GB
  • Total amount of disk used: 3.33 GB

An example of 'validation' looks as follows.


Data Fields

The data fields are the same among all splits.

cs-en

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

Data Splits

name train validation
cs-en 7270695 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

Annotations

Annotation process

More Information Needed

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

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information


@ONLINE {wmt19translate,
    author = "Wikimedia Foundation",
    title  = "ACL 2019 Fourth Conference on Machine Translation (WMT19), Shared Task: Machine Translation of News",
    url    = "http://www.statmt.org/wmt19/translation-task.html"
}

Contributions

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