Update README.md

README.md

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 ### Dataset Summary
 
-caBreu is a summarization dataset. 
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-It consists of 3,000 articles, each averaging about 700 words in length, along with extreme, abstractive and extractive summaries, 
+caBreu is a summarization dataset. 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/).
+
+This work is licensed under a [Creative Commons Attribution Non-commercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).
+
  
 ### Supported Tasks and Leaderboards
 
@@ -145,8 +146,11 @@ Extractive, abstractive and extremes summaries.
 #### Annotation process
 
 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. 
+
+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.