Update README.md

README.md

@@ -55,11 +55,11 @@ task_ids:
 
 ### Dataset Summary
 
-VilaQuAD, An extractive QA dataset for Catalan, from [VilaWeb](www.vilaweb.cat) newswire text.
+VilaQuAD, An extractive QA dataset for Catalan, from [VilaWeb](https://www.vilaweb.cat/) newswire text.
 
 This dataset contains 2095 of Catalan language news articles along with 1 to 5 questions referring to each fragment (or context).
 
-VilaQuad articles are extracted from the daily [VilaWeb](www.vilaweb.cat) and used under [CC-by-nc-sa-nd](https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence. 
+VilaQuad articles are extracted from the daily [VilaWeb](https://www.vilaweb.cat/) and used under [CC-by-nc-sa-nd](https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence. 
 
 This dataset can be used to build extractive-QA and Language Models.
 
@@ -92,7 +92,7 @@ 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 VilaWeb article.
@@ -117,25 +117,25 @@ We created this dataset to contribute to the development of language models in C
 
 ### Source Data
 
-- [VilaWeb site](www.vilaweb.cat)
+- [VilaWeb site](https://www.vilaweb.cat/)
 
 #### Initial Data Collection and Normalization
 
 The source data are scraped articles from archives of Catalan newspaper website [Vilaweb](https://www.vilaweb.cat). 
 
-From a the online edition of the newspaper [VilaWeb](https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, 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, 6282 pairs of a question and an extracted fragment that contains the answer were created.
+From a the online edition of the newspaper [VilaWeb](https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, following an adaptation of the guidelines from SQuAD 1.0 ([Rajpurkar, Pranav et al. (2016)](http://arxiv.org/abs/1606.05250)). In total, 6282 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. We also created [another QA dataset with wikipedia](https://huggingface.co/datasets/projecte-aina/viquiquad) to ensure thematic and stylistic variety.
 
 #### Who are the source language producers?
 
-Professional journalists from the Catalan newspaper [VilaWeb](https://www.vilaweb.cat).
+Professional journalists from the Catalan newspaper [VilaWeb](https://www.vilaweb.cat/).
 
 ### Annotations
 
 #### Annotation process
 
-We comissioned 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 comissioned 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?