Datasets:

EdinburghNLP
/

xsum

	---
	annotations_creators:
	- found
	language_creators:
	- found
	language:
	- en
	license:
	- unknown
	multilinguality:
	- monolingual
	pretty_name: Extreme Summarization (XSum)
	paperswithcode_id: xsum
	size_categories:
	- 100K<n<1M
	source_datasets:
	- original
	task_categories:
	- summarization
	task_ids:
	- news-articles-summarization
	train-eval-index:
	- config: default
	task: summarization
	task_id: summarization
	splits:
	train_split: train
	eval_split: test
	col_mapping:
	document: text
	summary: target
	metrics:
	- type: rouge
	name: Rouge
	dataset_info:
	features:
	- name: document
	dtype: string
	- name: summary
	dtype: string
	- name: id
	dtype: string
	splits:
	- name: train
	num_bytes: 479206608
	num_examples: 204045
	- name: validation
	num_bytes: 26292901
	num_examples: 11332
	- name: test
	num_bytes: 26756165
	num_examples: 11334
	download_size: 257302866
	dataset_size: 532255674
	---

	# Dataset Card for "xsum"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage:
	- Repository: https://github.com/EdinburghNLP/XSum
	- Paper: [Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization](https://arxiv.org/abs/1808.08745)
	- Point of Contact: [Shashi Narayan](mailto:shashi.narayan@ed.ac.uk)
	- Size of downloaded dataset files: 257.30 MB
	- Size of the generated dataset: 532.26 MB
	- Total amount of disk used: 789.56 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 and Leaderboards

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Dataset Structure

	### Data Instances

	#### default

	- Size of downloaded dataset files: 257.30 MB
	- Size of the generated dataset: 532.26 MB
	- Total amount of disk used: 789.56 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

	\| name \|train \|validation\|test \|
	\|-------\|-----:\|---------:\|----:\|
	\|default\|204045\| 11332\|11334\|

	## Dataset Creation

	### Curation Rationale

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@jbragg](https://github.com/jbragg), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.