Update README.md

README.md

@@ -164,6 +164,7 @@ if __name__ == "__main__":
 ## Training data
 
 In order to train the model, it's transformers were trained with five datasets, which were:
+
 - **Scientific Papers (arXiv + PubMed)**: Cohan et al. (2018) found out that there were only
 datasets with short texts (with an average of 600 words) or datasets with longer texts with
 extractive humam summaries. In order to fill the gap and to provide a dataset with long text
@@ -198,13 +199,15 @@ kind of ATS that is aimed at answering the question “What is the document abou
 was obtained from BBC articles and each one of them is accompanied by a short gold-standard
 summary often written by its very author.
 
+Each of their documents was summarized (through every summarization method applied in the code) and evaluated 
+in comparison with the gold-standard summaries.
 ## Training procedure
 
 
 ### Preprocessing
 [PERGUNTAR ARTHUR]
 
-Hey, look how easy it is to write LaTeX equations in here \\(Ax = b\\) or even $$Ax = b$$
+Hey, look how easy it is to write LaTeX equations in here \\(Ax = b\\) or even $$ Ax = b $$
 ## Evaluation results