Dataset:



Dataset Card for "xsum"

Dataset Summary

Extreme Summarization (XSum) Dataset.

There are three features:

  • document: Input news article.
  • summary: One sentence summary of the article.
  • id: BBC ID of the article.

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

default

  • Size of downloaded dataset files: 245.38 MB
  • Size of the generated dataset: 507.60 MB
  • Total amount of disk used: 752.98 MB

An example of 'validation' looks as follows.

{
    "document": "some-body",
    "id": "29750031",
    "summary": "some-sentence"
}

Data Fields

The data fields are the same among all splits.

default

  • document: a string feature.
  • summary: a string feature.
  • id: a string feature.

Data Splits Sample Size

name train validation test
default 204045 11332 11334

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

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

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Licensing Information

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Citation Information


@article{Narayan2018DontGM,
  title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
  author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.08745}
}

Contributions

Thanks to @thomwolf, @lewtun, @mariamabarham, @jbragg, @lhoestq, @patrickvonplaten for adding this dataset.

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Models trained or fine-tuned on xsum