Update README.md

README.md

@@ -147,9 +147,9 @@ This must be considered before training deep learning models with CATalog, speci
 
 ### Social Impact of Dataset
 
-CATalog promotes the Catalan language in the NLP field, enabling development of advanced applications and chatbots tailored to Catalan speakers, while improving access to information for better community understanding. However, most of the sources in the dataset are web-scraped, which may bring in biases and privacy issues, risking biased outcomes and potential misuse. Additionally, it might overlook the voices of low-resource communities, amplifying existing disparities in representation.
+CATalog promotes the Catalan language in the NLP field, enabling development of advanced applications and chatbots tailored to Catalan speakers, while improving access to information for better community understanding. However, most of the sources in the dataset are web-scraped, which may bring in biases and privacy issues, risking flawed outcomes and potential misuse.
 
-Given that Catalan is a mid-resourced language with low representation in digital sources, this dataset becomes crucial for building inclusive NLP applications. It addresses the language's underrepresentation, empowering communities with improved access to information in their native language. However, careful consideration of potential biases and privacy issues is essential to ensure responsible and equitable technology use.
+Given that Catalan is a mid-resourced language with low representation in digital sources, this dataset becomes crucial for building inclusive NLP applications. It addresses the language's underrepresentation, empowering the Catalan community with improved access to text resources in their native language. However, careful consideration of potential biases and privacy issues is essential to ensure responsible and equitable technology use.
 
 ### Discussion of Biases