Update README.md

README.md

@@ -20,7 +20,7 @@ task_ids:
 - extractive-qa
 ---
 
-# ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia
+# ViquiQuAD, An extractive QA dataset for Catalan, from the Wikipedia
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -55,9 +55,9 @@ task_ids:
 
 ### Dataset Summary
 
-ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia.
+ViquiQuAD, An extractive QA dataset for Catalan, from the Wikipedia.
 
-This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment.
+This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "[Viquipèdia(ca.wikipedia.org)]", and 1 to 5 questions with their answer for each fragment.
 
 Viquipedia articles are used under [CC-by-sa](https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence. 
 
@@ -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.
@@ -111,7 +111,7 @@ Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for sq
 
 ### Methodology
 
-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](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.
 
 ### Curation Rationale
 
@@ -119,7 +119,7 @@ For compatibility with similar datasets in other languages, we followed as close
 
 ### Source Data
 
-- https://ca.wikipedia.org
+- [Catalan Wikipedia](https://ca.wikipedia.org)
 
 #### Initial Data Collection and Normalization
 
@@ -133,7 +133,7 @@ Volunteers who collaborate with [Catalan Wikipedia](ca.wikipedia.org).
 
 #### 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. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
 
 #### Who are the annotators?