updated readme

README.md

@@ -7,7 +7,7 @@ tags:
 - sports
 - tracking
 - play-by-play
-pretty_name: 2015-2016 Raw Tracking Data from SportVU
+pretty_name: 15/16 NBA Season Raw Tracking Data from SportVU
 source_datasets: https://github.com/linouk23/NBA-Player-Movements
 ---
 # 2015-2016 Raw Tracking Data from SportVU
@@ -30,13 +30,13 @@ Tracking data is the finest level of basketball data, whereas play-by-play and b
 
 ## Uses
 
-This dataset has many potential uses. Primarily, visualization of plays, as illustrated in the initial repository is possible, creating a comprehensive view for analyzing actions on court. Beyond that, models could be trained to recognize certain play types or actions, as illustrated in previous papers (see Stephanos et al., 2022). Analysis of defensive control could be performed by examining the data spatially. Even further, a broadcast tracking model could be creater if video data could be obtained and connected to each moment of collection. This would create a model where video frames are mapped to tracked coordinates, increasing the accessibility of tracking data as only publically available video footage is necessary. 
+This dataset has many potential uses. Primarily, visualization of plays, as illustrated in the initial repository is possible, creating a comprehensive view for analyzing actions on court. Beyond that, models could be trained to recognize certain play types or actions, which can increase efficiency of video scouting. Analysis of defensive control could be performed by examining the data spatially. Even further, a broadcast tracking model could be creater if video data could be obtained and connected to each moment of collection. This would create a model where video frames are mapped to tracked coordinates, increasing the accessibility of tracking data as only publically available video footage is necessary. 
 
-- Stephanos et al.: https://www.sloansportsconference.com/research-papers/using-hex-maps-to-classify-cluster-dribble-hand-off-variants-in-the-nba
+- An example of action identification shown here: https://colab.research.google.com/drive/1x_v9c5yzUnDvSsH9d-2m3FjFXMp8A-ZF?usp=sharing
 
 ## Dataset Structure
 
-The data is in the format of a dictionary:
+The data is in the following dictionary format:
 
 - 'gameid': str
 - 'gamedate': str