Updated data card

README.md

@@ -19,7 +19,7 @@ size_categories:
 
 ### Dataset Summary
 
-We introduce FiReCS, the first sentiment-annotated corpus of product and service reviews involving Filipino-English code-switching. The final data set is composed of 10,487 reviews with a fairly balanced number per sentiment class. Inter-annotator agreement is high with a Kripendorffs’s α for ordinal metric of 0.83. Three human annotators were tasked to manually label reviews according to three polarity classes: Positive, Neutral, and Negative. 
+We introduce FiReCS, the first sentiment-annotated corpus of product and service reviews involving Filipino-English code-switching. The data set is composed of 10,487 reviews with a fairly balanced number per sentiment class. Inter-annotator agreement is high with a Kripendorffs’s α for ordinal metric of 0.83. Three human annotators were tasked to manually label reviews according to three polarity classes: Positive, Neutral, and Negative. 
 
 ### Supported Tasks and Leaderboards
 
@@ -34,8 +34,8 @@ Sentiment analysis of bilingual text with code-switching / code-mixing.
 
 ### Data Fields
 
-* review: a string containing the body of the review
-* label: an integer containing the label encoding of the gold-truth label provided by the human annotators
+* `review`: a string containing the body of the review
+* `label`: an integer containing the label encoding of the gold-truth label provided by the human annotators
 
 #### Label encoding
 * 2 - Positive