This repository contains the PLOS and eLife datasets, introduced in the EMNLP 2022 paper "
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
".
Each dataset contains full biomedical research articles paired with expert-written lay summaries (i.e., non-technical summaries). PLOS articles are derived from various journals published by
the Public Library of Science (PLOS), whereas eLife articles are derived from the
eLife journal. More details/anlaysis on the content of each dataset are provided in the paper.
Both "elife" and "plos" have 6 features:
- "article": the body of the document (including the abstract), sections seperated by "/n".
- "section_headings": the title of each section, seperated by "/n".
- "keywords": keywords describing the topic of the article, seperated by "/n".
- "title" : the title of the article.
- "year" : the year the article was published.
- "summary": the lay summary of the document.