updated readme.md to version 1

README.md

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+---
+language:
+- en
+tags:
+- basketball
+- nba
+- sports
+- tracking
+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. 
+
+## Dataset Details
+
+### Dataset Descriptions
+
+Tracking data is the finest level of basketball data, whereas play-by-play and box score data are also used. This dataset gives raw SportVU tracking data from each game of the 2015-2016 NBA season. This was the last season with publically available tracking data. This data has the coordinates of all players at all moments of the game, for each game in the season. There are also identifiers for player id and team id, so that further analysis can be performed.
+- **Collected By:** SportVU
+- **Shared By:** Kostya Linou, Dzmitryi Linou, Martijn De Boer
+
+### Dataset Source
+
+- **Repository:** https://github.com/linouk23/NBA-Player-Movements
+
+## 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). Even further, video data could be connected to each moment of collection to 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
+
+## Dataset Structure
+
+<!-- complete once data is uploaded, so that one can understand how it is formatted. -->
+
+## Dataset Creation
+
+### Curation Rationale
+
+The reason for uploading this data to huggingface, is that in its current .7z form, the data is less accessible, and requires unzipping many files and then combining to access. Also, more sources for easily accessible tracking data, even if also available elsewhere, increase the chances of long-term preservation and accessibility for future NBA fans.
+
+### Source Data
+
+From creator StatsPerform, "the SportVU camera system is installed in basketball arenas to track the real-time positions of players and the ball at 25 times per second." These methods were used to capture the data in this dataset.
+
+## 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.
+
+## Dataset Card Author
+
+Donald Cayton; dcayton9@gmail.com