Update README.md

README.md

@@ -90,7 +90,7 @@ The dataset is in Catalan (`ca-CA`).
 
 ### Data Fields
 
-Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for SQuAD v1 datasets.
+Follows [Rajpurkar, Pranav et al. (2016)](http://arxiv.org/abs/1606.05250) for SQuAD v1 datasets.
 
 - `id` (str): Unique ID assigned to the question.
 - `title` (str): Title of the Wikipedia article.
@@ -121,19 +121,19 @@ We hope this dataset contributes to the development of language models in Catala
 
 The source data are scraped articles from the [Catalan wikipedia](https://ca.wikipedia.org) site.
 
-From a set of high quality, non-translation, articles in the [Catalan Wikipedia](ca.wikipedia.org), 597 were randomly chosen, and from them 3111, 5-8 sentence contexts were extracted. We commissioned creation of between 1 and 5 questions for each context, following an adaptation of the guidelines from SQuAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.
+From a set of high quality, non-translation, articles in the [Catalan Wikipedia](http://www.ca.wikipedia.org), 597 were randomly chosen, and from them 3111, 5-8 sentence contexts were extracted. We commissioned creation of between 1 and 5 questions for each context, following an adaptation of the guidelines from SQuAD 1.0 ([Rajpurkar, Pranav et al. (2016)](http://arxiv.org/abs/1606.05250)). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.
 
 For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.
 
 #### Who are the source language producers?
 
-Volunteers who collaborate with [Catalan Wikipedia](ca.wikipedia.org). 
+Volunteers who collaborate with [Catalan Wikipedia](http://www.ca.wikipedia.org). 
 
 ### Annotations
 
 #### 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. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](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. (2016)](http://arxiv.org/abs/1606.05250)).
 
 #### Who are the annotators?