Update README.md

README.md

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 This is a fine-tuned roBERTa-base model trained using as a base model Twitter-roBERTa-base for Sentiment Analysis, which was trained on ~58M tweets. The dataset used for training is a gold standard for protest events for toxicity and incivility in Spanish.
 
-The dataset comprises almost 5M data points from three Latin American protest events: (a) protests against the coronavirus and judicial reform measures in Argentina during August 2020; (b) protests against education budget cuts in Brazil in May 2019; and (c) the social outburst in Chile stemming from protests against the underground fare hike in October 2019. We are focusing on interactions in Spanish to elaborate a gold standard for digital interactions in this language, therefore, we prioritise Argentinian and Chilean data.
+The dataset comprises ~5M data points from three Latin American protest events: (a) protests against the coronavirus and judicial reform measures in Argentina during August 2020; (b) protests against education budget cuts in Brazil in May 2019; and (c) the social outburst in Chile stemming from protests against the underground fare hike in October 2019. We are focusing on interactions in Spanish to elaborate a gold standard for digital interactions in this language, therefore, we prioritise Argentinian and Chilean data.
 
 - [GitHub repository](https://github.com/training-datalab/gold-standard-toxicity).
 - [Dataset on Zenodo](zenodo.org/doi/10.5281/zenodo.12574288).