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Datasets:
wmt
/
wmt19

Tasks:
Translation
Languages:
Czech
German
English
Multilinguality:
translation
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
extended|europarl_bilingual
extended|news_commentary
extended|opus_paracrawl
Tags:
License:
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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
dataset_info:
  - config_name: cs-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - cs
              - en
    splits:
      - name: train
        num_bytes: 1314866170
        num_examples: 7270695
      - name: validation
        num_bytes: 696221
        num_examples: 2983
    download_size: 665590448
    dataset_size: 1315562391
  - config_name: de-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - de
              - en
    splits:
      - name: train
        num_bytes: 7645655677
        num_examples: 34782245
      - name: validation
        num_bytes: 757641
        num_examples: 2998
    download_size: 4079732256
    dataset_size: 7646413318
  - config_name: fi-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fi
              - en
    splits:
      - name: train
        num_bytes: 1422916995
        num_examples: 6587448
      - name: validation
        num_bytes: 691833
        num_examples: 3000
    download_size: 739629820
    dataset_size: 1423608828
  - config_name: fr-de
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - de
    splits:
      - name: train
        num_bytes: 2358405621
        num_examples: 9824476
      - name: validation
        num_bytes: 441418
        num_examples: 1512
    download_size: 1261830726
    dataset_size: 2358847039
  - config_name: gu-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - gu
              - en
    splits:
      - name: train
        num_bytes: 590747
        num_examples: 11670
      - name: validation
        num_bytes: 774613
        num_examples: 1998
    download_size: 730223
    dataset_size: 1365360
  - config_name: kk-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - kk
              - en
    splits:
      - name: train
        num_bytes: 9157334
        num_examples: 126583
      - name: validation
        num_bytes: 846849
        num_examples: 2066
    download_size: 5759291
    dataset_size: 10004183
  - config_name: lt-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - lt
              - en
    splits:
      - name: train
        num_bytes: 513082481
        num_examples: 2344893
      - name: validation
        num_bytes: 541945
        num_examples: 2000
    download_size: 284890393
    dataset_size: 513624426
  - config_name: ru-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - en
    splits:
      - name: train
        num_bytes: 13721347178
        num_examples: 37492126
      - name: validation
        num_bytes: 1085588
        num_examples: 3000
    download_size: 6167016481
    dataset_size: 13722432766
  - config_name: zh-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - zh
              - en
    splits:
      - name: train
        num_bytes: 6391177013
        num_examples: 25984574
      - name: validation
        num_bytes: 1107514
        num_examples: 3981
    download_size: 3615575187
    dataset_size: 6392284527
configs:
  - config_name: cs-en
    data_files:
      - split: train
        path: cs-en/train-*
      - split: validation
        path: cs-en/validation-*
  - config_name: de-en
    data_files:
      - split: train
        path: de-en/train-*
      - split: validation
        path: de-en/validation-*
  - config_name: fi-en
    data_files:
      - split: train
        path: fi-en/train-*
      - split: validation
        path: fi-en/validation-*
  - config_name: fr-de
    data_files:
      - split: train
        path: fr-de/train-*
      - split: validation
        path: fr-de/validation-*
  - config_name: gu-en
    data_files:
      - split: train
        path: gu-en/train-*
      - split: validation
        path: gu-en/validation-*
  - config_name: kk-en
    data_files:
      - split: train
        path: kk-en/train-*
      - split: validation
        path: kk-en/validation-*
  - config_name: lt-en
    data_files:
      - split: train
        path: lt-en/train-*
      - split: validation
        path: lt-en/validation-*
  - config_name: ru-en
    data_files:
      - split: train
        path: ru-en/train-*
      - split: validation
        path: ru-en/validation-*
  - config_name: zh-en
    data_files:
      - split: train
        path: zh-en/train-*
      - split: validation
        path: zh-en/validation-*

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, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded, primarily by CCMatrix, and to some extent, by ParaCrawl datasets.

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.