updated readme

README.md

@@ -6,12 +6,13 @@ tags:
 - nba
 - sports
 - tracking
+- play-by-play
 pretty_name: 2015-2016 Raw Tracking Data from SportVU
 source_datasets: https://github.com/linouk23/NBA-Player-Movements
 ---
 # 2015-2016 Raw Tracking Data from SportVU
 
-The modern era of basketball is characterized by the use of data to analyze performance and make decisions both on and off the court. Using tracking data combined with traditional play-by-play can allow for expert analysis of games.
+The modern era of basketball is characterized by the use of data to analyze performance and make decisions both on and off the court. Using tracking data combined with traditional play-by-play can allow for in=depth analysis of games.
 
 ## Dataset Details
 
@@ -25,7 +26,7 @@ Tracking data is the finest level of basketball data, whereas play-by-play and b
 
 - **Repositories:**
   - https://github.com/linouk23/NBA-Player-Movements
-  - https://github.com/sumitrodatta/nba-alt-awards/tree/main
+  - https://github.com/sumitrodatta/nba-alt-awards
 
 ## Uses
 
@@ -81,6 +82,15 @@ To load the data, you must run
 
 `import py7zr`
 
+## Configurations
+
+The data here has multiple configurations corresponding to different size subsamples of the data. This is intended for quicker loading and increased manageability. The configurations are as follows:
+- 'tiny': a subsample of 5 games
+- 'small': a subsample of 25 games
+- 'medium': a subsample of 100 games
+- 'large': all games (600+) with tracking data from 2015-16 NBA season
+
+
 ## Dataset Creation
 
 ### Curation Rationale
@@ -95,7 +105,15 @@ From creator StatsPerform, "the SportVU camera system is installed in basketball
 
 ## Bias, Risks, and Limitations
 
-Since this data is not up-to-date, and the tracking data for the last eight seasons is private and unreleased, the continued spread of this specific data may not be representative of the current state of NBA tracking data. Thus, users that learn how to manipulate it may not be adequately prepared for work in basketball organizations. Further, analyses performed on the dataset may not be reflective of the current state of professional basketball. However, since this was the last iteration of publicly available tracking data, I believe increasing its availability is important.
+Technical limitations include the following: 
+
+Some events or moments included within events have no corresponding coordinates, which can cause trouble with continuity, however this is not a major problem as this only occurs on a very small number of events and the occurances can be handled on a case-by-case basis or ignored.
+
+The coordinates for each event often start before the labeled event and/or end after the event ends. This can also cause bleeding of data over to the next event, so care must be taken to acknowledge this when working with the data.
+
+Since this data is not up-to-date, and the tracking data for the last eight seasons is private and unreleased, the continued spread of this specific data may not be representative of the current state of NBA tracking data (provided by different companies). Thus, users that learn how to manipulate it may or may not be adequately prepared for work in basketball organizations. 
+
+Further, analyses performed on the dataset may not be reflective of the current state of professional basketball. This is because the game is constantly changing and evolving. However, since this was the last iteration of publicly available tracking data, I believe increasing its availability is important.
 
 ## Dataset Card Author