The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for Paragraph-level Simplification of Medical Texts
This dataset is designed for the summarization NLP task. It is a collection of technical abstracts of biomedical systematic reviews and corresponding plain-language summaries (PLS) from the Cochrane Database of Systematic Reviews, which comprises thousands of evidence synopses (where authors provide an overview of all published evidence relevant to a particular clinical question or topic). The PLS are written by review authors; Cochrane’s PLS standards recommend that “the PLS should be written in plain English which can be understood by most readers without a university education”. PLS are not parallel with every sentence in the abstract; on the contrary, they are structured heterogeneously.
Citation Information
@inproceedings{devaraj-etal-2021-paragraph,
title = "Paragraph-level Simplification of Medical Texts",
author = "Devaraj, Ashwin and Marshall, Iain and Wallace, Byron and Li, Junyi Jessy",
booktitle = {Proceedings of the 2021 Conference of the North
American Chapter of the Association for Computational Linguistics},
month = jun,
year = "2021",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.naacl-main.395",
pages = "4972--4984",
}
- Downloads last month
- 41