README.md

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Dataset Card for "xsum"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/EdinburghNLP/XSum/tree/master/XSum-Dataset
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 245.38 MB
• Size of the generated dataset: 507.60 MB
• Total amount of disk used: 752.98 MB

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

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

@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.