Datasets:
ArXiv:
Tags:
License:
license: | |
- bsd-3-clause | |
train-eval-index: | |
- config: kmfoda--booksum | |
task: summarization | |
task_id: summarization | |
splits: | |
eval_split: test | |
col_mapping: | |
chapter: text | |
summary_text: target | |
# BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization | |
Authors: [Wojciech Kryściński](https://twitter.com/iam_wkr), [Nazneen Rajani](https://twitter.com/nazneenrajani), [Divyansh Agarwal](https://twitter.com/jigsaw2212), [Caiming Xiong](https://twitter.com/caimingxiong), [Dragomir Radev](http://www.cs.yale.edu/homes/radev/) | |
## Introduction | |
The majority of available text summarization datasets include short-form source documents that lack long-range causal and temporal dependencies, and often contain strong layout and stylistic biases. | |
While relevant, such datasets will offer limited challenges for future generations of text summarization systems. | |
We address these issues by introducing BookSum, a collection of datasets for long-form narrative summarization. | |
Our dataset covers source documents from the literature domain, such as novels, plays and stories, and includes highly abstractive, human written summaries on three levels of granularity of increasing difficulty: paragraph-, chapter-, and book-level. | |
The domain and structure of our dataset poses a unique set of challenges for summarization systems, which include: processing very long documents, non-trivial causal and temporal dependencies, and rich discourse structures. | |
To facilitate future work, we trained and evaluated multiple extractive and abstractive summarization models as baselines for our dataset. | |
## Links | |
- [paper](https://arxiv.org/abs/2105.08209) by SalesForce Research | |
- [GitHub repo](https://github.com/salesforce/booksum) | |
<p align="center"><img src="misc/book_sumv4.png"></p> | |
## Table of Contents | |
1. [Citation](#citation) | |
2. [Legal Note](#legal-note) | |
3. [License](#license) | |
## Citation | |
``` | |
@article{kryscinski2021booksum, | |
title={BookSum: A Collection of Datasets for Long-form Narrative Summarization}, | |
author={Wojciech Kry{\'s}ci{\'n}ski and Nazneen Rajani and Divyansh Agarwal and Caiming Xiong and Dragomir Radev}, | |
year={2021}, | |
eprint={2105.08209}, | |
archivePrefix={arXiv}, | |
primaryClass={cs.CL} | |
} | |
``` | |
## Legal Note | |
By downloading or using the resources, including any code or scripts, shared in this code | |
repository, you hereby agree to the following terms, and your use of the resources is conditioned | |
on and subject to these terms. | |
1. You may only use the scripts shared in this code repository for research purposes. You | |
may not use or allow others to use the scripts for any other purposes and other uses are | |
expressly prohibited. | |
2. You will comply with all terms and conditions, and are responsible for obtaining all | |
rights, related to the services you access and the data you collect. | |
3. We do not make any representations or warranties whatsoever regarding the sources from | |
which data is collected. Furthermore, we are not liable for any damage, loss or expense of | |
any kind arising from or relating to your use of the resources shared in this code | |
repository or the data collected, regardless of whether such liability is based in tort, | |
contract or otherwise. | |
## License | |
The code is released under the **BSD-3 License** (see `LICENSE.txt` for details). |