Update README.md

README.md

@@ -27,6 +27,14 @@ task_ids: []
 
 # Dataset Card for "scientific_lay_summarisation"
 
+- **Homepage:**
+- **Repository:** https://github.com/TGoldsack1/Corpora_for_Lay_Summarisation
+- **Paper:** [Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature](https://arxiv.org/abs/2210.09932)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 850.44 MB
+- **Size of the generated dataset:** 1.32 GB
+- **Total amount of disk used:** 2.17 GB
+
 ### 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
@@ -35,13 +43,15 @@ This repository contains the PLOS and eLife datasets, introduced in the EMNLP 20
 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.
 
 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".
+    - "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.
-
+  
+    
 ### 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).
@@ -54,15 +64,74 @@ English
 
 ### Data Instances
 
-[More Information Needed]
+#### plos
+
+- **Size of downloaded dataset files:** 425.22 MB
+- **Size of the generated dataset:** 1.05 GB
+- **Total amount of disk used:** 1.47 GB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+{
+    "summary": "In the kidney , structures known as nephrons are responsible for collecting metabolic waste . Nephrons are composed of a ...",
+    "article": "Kidney function depends on the nephron , which comprises a 'blood filter , a tubule that is subdivided into functionally ...",
+    "section_headings": "Abstract\nIntroduction\nResults\nDiscussion\nMaterials and Methods'",
+    "keywords": "developmental biology\ndanio (zebrafish)\nvertebrates\nteleost fishes\nnephrology",
+    "title": "The cdx Genes and Retinoic Acid Control the Positioning and Segmentation of the Zebrafish Pronephros",
+    "year": "2007"
+}
+
+
+#### elife
+
+- **Size of downloaded dataset files:** 425.22 MB
+- **Size of the generated dataset:** 275.99 MB
+- **Total amount of disk used:** 1.47 MB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+{
+    "summary": "In the USA , more deaths happen in the winter than the summer . But when deaths occur varies greatly by sex , age , cause of ...",
+    "article": "In temperate climates , winter deaths exceed summer ones . However , there is limited information on the timing and the ...",
+    "section_headings": "Abstract\nIntroduction\nResults\nDiscussion\nMaterials and methods",
+    "keywords": "epidemiology and global health",
+    "title": "National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016",
+    "year": "2018"
+}
+
 
 ### Data Fields
 
-[More Information Needed]
+The data fields are the same among all splits.
+
+#### plos
+
+- `article`: a `string` feature.
+- `section_headings`: a `string` feature.
+- `keywords`: a `string` feature.
+- `title` : a `string` feature.
+- `year` : a `string` feature.
+- `summary`: a `string` feature.
+
+
+#### elife
+
+- `article`: a `string` feature.
+- `section_headings`: a `string` feature.
+- `keywords`: a `string` feature.
+- `title` : a `string` feature.
+- `year` : a `string` feature.
+- `summary`: a `string` feature.
 
 ### Data Splits
 
-[More Information Needed]
+| name |train |validation|test|
+|------|-----:|---------:|---:|
+|plos  | 24773|      1376|1376|
+|elife |  4346|       241| 241|
+
 
 ## Dataset Creation
 
@@ -124,8 +193,4 @@ English
 "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.
+```