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Datasets:
wmt
/
wmt18

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
Czech
German
English
Size:
100M - 1B
Libraries:
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License:
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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - cs
  - de
  - en
  - et
  - fi
  - kk
  - ru
  - tr
  - zh
license:
  - unknown
multilinguality:
  - translation
size_categories:
  - 10M<n<100M
source_datasets:
  - extended|europarl_bilingual
  - extended|news_commentary
  - extended|opus_paracrawl
  - extended|setimes
  - extended|un_multi
task_categories:
  - translation
task_ids: []
pretty_name: WMT18
paperswithcode_id: wmt-2018
dataset_info:
  - config_name: cs-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - cs
              - en
    splits:
      - name: train
        num_bytes: 1461016186
        num_examples: 11046024
      - name: validation
        num_bytes: 674430
        num_examples: 3005
      - name: test
        num_bytes: 696229
        num_examples: 2983
    download_size: 2030359086
    dataset_size: 1462386845
  - config_name: de-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - de
              - en
    splits:
      - name: train
        num_bytes: 8187552108
        num_examples: 42271874
      - name: validation
        num_bytes: 729519
        num_examples: 3004
      - name: test
        num_bytes: 757649
        num_examples: 2998
    download_size: 3808612335
    dataset_size: 8189039276
  - config_name: et-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - et
              - en
    splits:
      - name: train
        num_bytes: 647992667
        num_examples: 2175873
      - name: validation
        num_bytes: 459398
        num_examples: 2000
      - name: test
        num_bytes: 489394
        num_examples: 2000
    download_size: 524534404
    dataset_size: 648941459
  - config_name: fi-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fi
              - en
    splits:
      - name: train
        num_bytes: 857171881
        num_examples: 3280600
      - name: validation
        num_bytes: 1388828
        num_examples: 6004
      - name: test
        num_bytes: 691841
        num_examples: 3000
    download_size: 491874780
    dataset_size: 859252550
  - config_name: kk-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - kk
              - en
    splits:
      - name: train
      - name: validation
      - name: test
    download_size: 0
    dataset_size: 0
  - config_name: ru-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - en
    splits:
      - name: train
        num_bytes: 13665367647
        num_examples: 36858512
      - name: validation
        num_bytes: 1040195
        num_examples: 3001
      - name: test
        num_bytes: 1085596
        num_examples: 3000
    download_size: 4195144356
    dataset_size: 13667493438
  - config_name: tr-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - tr
              - en
    splits:
      - name: train
        num_bytes: 60416617
        num_examples: 205756
      - name: validation
        num_bytes: 752773
        num_examples: 3007
      - name: test
        num_bytes: 770313
        num_examples: 3000
    download_size: 62263061
    dataset_size: 61939703
  - config_name: zh-en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - zh
              - en
    splits:
      - name: train
        num_bytes: 5536169801
        num_examples: 25160346
      - name: validation
        num_bytes: 540347
        num_examples: 2001
      - name: test
        num_bytes: 1107522
        num_examples: 3981
    download_size: 2259428767
    dataset_size: 5537817670

Dataset Card for "wmt18"

Table of Contents

Dataset Description

Dataset Summary

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("wmt18", "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: 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.

cs-en

  • 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

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:2018:WMT1,
  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       = {http://www.aclweb.org/anthology/W18-6401}
}

Contributions

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