Update README.md

README.md

@@ -30,12 +30,12 @@ SQAC is an extractive QA dataset for the Spanish language.
 
 ### Dataset Summary
 
-This dataset contains 6,247 contexts and 18,817 questions with their respective answers, 1 to 5 for each fragment.
+Contains 6,247 contexts and 18,817 questions with their respective answers, 1 to 5 for each fragment.
 
 The sources of the contexts are:
 * Encyclopedic articles from the [Spanish Wikipedia](https://es.wikipedia.org/), used under [CC-by-sa licence](https://creativecommons.org/licenses/by-sa/3.0/legalcode). 
 * News articles from [Wikinews](https://es.wikinews.org/), used under [CC-by licence](https://creativecommons.org/licenses/by/2.5/). 
-* Text from the [AnCora corpus](http://clic.ub.edu/corpus/en), which is a mix from several newswire and literature sources, used under [CC-by licence](https://creativecommons.org/licenses/by/4.0/legalcode). 
+* Newswire and literature text from the [AnCora corpus](http://clic.ub.edu/corpus/en), used under [CC-by licence](https://creativecommons.org/licenses/by/4.0/legalcode). 
 
 ### Supported Tasks and Leaderboards
 
@@ -107,7 +107,7 @@ Extractive-QA
 
 ### Lexical variation
 
-46.38 % of the words in the Question can be found in the Context.
+46.38% of the words in the Question can be found in the Context.
 
 ### Question type 
 
@@ -150,7 +150,7 @@ Contributors to the aforementioned sites.
 
 #### Annotation process
 
-We commissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 [Rajpurkar, Pranav et al.](http://arxiv.org/abs/1606.05250).
+We commissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 [(Rajpurkar, Pranav et al.)](http://arxiv.org/abs/1606.05250).
 
 #### Who are the annotators?