Update README.md

README.md

@@ -58,16 +58,15 @@ viewer: false
 ---
 # Dataset Card for LR-Sum
 
-<!-- Provide a quick summary of the dataset. -->
+LR-Sum is a automatic summarization dataset with a focus on less resourced languages
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 ## Dataset Details
 
 ### Dataset Description
 
 LR-Sum is a permissively-licensed dataset created with the goal of enabling further research in automatic summarization for less-resourced languages.
-LR-Sum contains human-written summaries for 40 languages, many of which are less-resourced. 
+LR-Sum contains human-written summaries for 39 languages, many of which are less-resourced. 
 The data is based on the collection of the Multilingual Open Text corpus where the source data is public domain newswire collected from from Voice of America websites.
 LR-Sum is released under a Creative Commons license (CC BY 4.0), making it one of the most openly-licensed multilingual summarization datasets. 
 
@@ -100,13 +99,18 @@ This dataset only includes newswire text, so models trained on the data may not
 
 
 ## Dataset Structure
-Each field is a string: 
 
+Each field is a string: 
+```
+{
   'id': Article unique id
   'url': URL for the news article
   'title': The title of the news article
   'summary': The summary of the article
   'text': The full text of the news article not including title
+}
+```
+
 
 ## Dataset Creation