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Dataset Card for "wmt19"

Table of Contents

Dataset Description

Dataset Summary

Translate dataset based on the data from statmt.org.

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(
    version="0.0.1",
    language_pair=("fr", "de"),
    subsets={
        datasets.Split.TRAIN: ["commoncrawl_frde"],
        datasets.Split.VALIDATION: ["euelections_dev2019"],
    },
)
builder = datasets.builder("wmt_translate", config=config)

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

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

Data Instances

cs-en

  • Size of downloaded dataset files: 1924.57 MB
  • Size of the generated dataset: 1254.62 MB
  • Total amount of disk used: 3179.19 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 Sample Size

name train validation
cs-en 7270695 2983

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

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.