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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - cs
  - de
  - en
  - fi
  - lv
  - ru
  - tr
  - zh
license:
  - unknown
multilinguality:
  - translation
size_categories:
  - 10M<n<100M
source_datasets:
  - extended|europarl_bilingual
  - extended|news_commentary
  - extended|setimes
  - extended|un_multi
task_categories:
  - translation
task_ids: []
pretty_name: WMT17
paperswithcode_id: null
dataset_info:
  - config_name: cs-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - cs
              - en
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        num_examples: 1018291
      - name: validation
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        num_examples: 2999
      - name: test
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        num_examples: 3005
    download_size: 1784240523
    dataset_size: 302080731
  - config_name: de-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - de
              - en
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      - name: validation
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      - name: test
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    dataset_size: 1717002478
  - config_name: fi-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fi
              - en
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      - name: validation
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        num_examples: 6000
      - name: test
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        num_examples: 6004
    download_size: 434531933
    dataset_size: 746655868
  - config_name: lv-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - lv
              - en
    splits:
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        num_examples: 3567528
      - name: validation
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        num_examples: 2003
      - name: test
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        num_examples: 2001
    download_size: 169634544
    dataset_size: 518494178
  - config_name: ru-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - en
    splits:
      - name: train
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        num_examples: 24782720
      - name: validation
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        num_examples: 2998
      - name: test
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        num_examples: 3001
    download_size: 3582640660
    dataset_size: 11002166394
  - config_name: tr-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - tr
              - en
    splits:
      - name: train
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        num_examples: 205756
      - name: validation
        num_bytes: 732436
        num_examples: 3000
      - name: test
        num_bytes: 752773
        num_examples: 3007
    download_size: 62263061
    dataset_size: 61901826
  - config_name: zh-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - zh
              - en
    splits:
      - name: train
        num_bytes: 5529286149
        num_examples: 25134743
      - name: validation
        num_bytes: 589591
        num_examples: 2002
      - name: test
        num_bytes: 540347
        num_examples: 2001
    download_size: 2314906945
    dataset_size: 5530416087

Dataset Card for "wmt17"

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("wmt17", "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: 1.78 GB
  • Size of the generated dataset: 302.09 MB
  • Total amount of disk used: 2.09 GB

An example of 'train' 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 test
cs-en 1018291 2999 3005

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


@InProceedings{bojar-EtAl:2017:WMT1,
  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       = {http://www.aclweb.org/anthology/W17-4717}
}

Contributions

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