Update README.md

README.md

@@ -1,3 +1,123 @@
 ---
-license: unknown
+annotations_creators:
+- found
+language:
+- en
+language_creators:
+- found
+license:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: scientific_lay_summarisation
+size_categories:
+- 10K<n<100K
+- 1K<n<10K
+source_datasets:
+- original
+tags:
+- scientific papers
+- lay summarization
+- PLOS
+- eLife
+task_categories:
+- summarization
+task_ids: []
 ---
+
+# Dataset Card for "scientific_lay_summarisation"
+
+### Dataset Summary
+
+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
+](https://arxiv.org/abs/2210.09932)" . 
+
+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)](https://plos.org/), whereas eLife articles are derived from the [eLife](https://elifesciences.org/) journal. More details/anlaysis on the content of each dataset are provided in the paper.
+
+### Supported Tasks and Leaderboards
+
+Papers with code - [PLOS](https://paperswithcode.com/sota/lay-summarization-on-plos) and [eLife](https://paperswithcode.com/sota/lay-summarization-on-elife).
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+"Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature"
+Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton
+EMNLP 2022
+```
+
+### Contributions
+
+Thanks to [@TGoldsack1](https://github.com/TGoldsack1) for adding this dataset.