Datasets:
Tasks:
Summarization
Modalities:
Text
Sub-tasks:
news-articles-summarization
Languages:
English
Size:
100K - 1M
ArXiv:
License:
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:[email protected]) | |
- **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 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:** 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 | |
| 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. |