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Dataset: wmt19 🏷
Update wmt19.py on GitHub

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from datasets import load_dataset dataset = load_dataset("wmt19")

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Models trained or fine-tuned on wmt19



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

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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"
}