Update README.md

README.md

@@ -74,16 +74,16 @@ dataset_info:
 
 ### Dataset Summary
 
-It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)
+It is a large dataset of Android applications belonging to 23 different app categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)
 
 ### Supported Tasks and Leaderboards
 
-The dataset we provide comprises 395 different apps from F-Droid repository, including code quality indicators of 629 versions of these
+The dataset we provide comprises 395 different apps from the F-Droid repository, including code quality indicators of 629 versions of these
 apps. It also encloses app reviews related to each of these versions, which have been automatically categorized classifying types of user feedback from a software maintenance and evolution perspective.
 
 ### Languages
 
-The dataset is a monolingual dataset which has the messages English.
+The dataset is a monolingual dataset that has the messages in English.
 
 ## Dataset Structure
 
@@ -98,14 +98,14 @@ The dataset consists of a message in English.
 
 ### Data Fields
 
-* package_name : Name of the Software Application Package
-* review : Message of the user 
-* date : date when the user posted the review 
-* star : rating provied by the user for the application
+* package_name: Name of the Software Application Package
+* Review : Message of the user 
+* date: the date when the user posted the review 
+* star: rating provided by the user for the application
 
 ### Data Splits
 
-There is training data, with a total of : 288065
+There is training data, with a total of 288065
 
 ## Dataset Creation
 
@@ -141,11 +141,11 @@ There is training data, with a total of : 288065
 
 ### Social Impact of Dataset
 
-With the help of this dataset one can try to understand more about software applications and what are the views and opinions of the users about them. This helps to understand more about which type of software applications are prefeered by the users and how do these applications facilitate the user to help them solve their problems and issues. 
+With the help of this dataset, one can try to understand more about software applications and what are the views and opinions of the users about them. This helps to understand more about which type of software applications are prefeered by the users and how do these applications facilitate the user to help them solve their problems and issues. 
 
 ### Discussion of Biases
 
-The reviews are only for applications which are in the open-source software applications, the other sectors have not been considered here 
+The reviews are only for applications that are in open-source software applications, the other sectors have not been considered here 
 
 ### Other Known Limitations
 
@@ -164,7 +164,7 @@ Giovanni Grano - (University of Zurich), Sebastiano Panichella - (University of
 ### Citation Information
 
 @InProceedings{Zurich Open Repository and
-Archive:dataset,
+Archive: dataset,
 title = {Software Applications User Reviews},
 authors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;
 Panichella, Sebastiano},