Update README.md

README.md

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 ### Dataset Summary
 
 caBreu is a summarization dataset. 
- 
-The corpus consists of 3,000 articles and their extreme, abstractive and extractive summaries manually done by three annotators. 
 
-Articles were collected from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) and 
-the Catalan news portal [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/).
+It consists of 3,000 articles, each averaging about 700 words in length, along with extreme, abstractive and extractive summaries, 
+manually generated by three annotators.
+
+The source material for the articles was gathered from various Catalan news sources, including the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)), 
+ [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/).
  
 ### Supported Tasks and Leaderboards
 
@@ -135,15 +136,19 @@ We created this corpus to contribute to the development of language models in Ca
 
 #### Who are the source language producers?
 
-The Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) and the Catalan news portal [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/). 
+The Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)), [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/). 
 
 ### Annotations
 
-Each article contains extreme, abstractive and extractive summaries.
+Extractive, abstractive and extremes summaries.
 
 #### Annotation process
 
-Each article data was summarized by 3 annotators.
+Summaries were manually generated by three annotators, in accordance with explicit instructions.
+For the extractive summaries, annotators were asked to select  four sentences from the original text, encapsulating its most relevant information. 
+In the case of extreme summaries, annotators composed a concise 15 to 20-word sentence that encapsulated the text's primary theme, addressing the question of "What is this text about?" 
+Lastly, the abstractive summaries required annotators to generate a 50 to 60-word abstract, offering a succinct overview of the 
+text's key information in their own words. It was imperative that these summaries remained clear, objective, and devoid of personal opinions, ideas, or interpretations, while conforming to the text's tense, structure, and avoiding overly lengthy sentences.
 
 #### Who are the annotators?