Context This dataset has been generated by Dr Fadi Fayez, Jonathan Chueh and Kevin Liu based on an AI game application. The dataset contains the moves for each played Tictac toe game using the developed mobile app game. For each game, all moves orders by the players are recorded along with the final result of the game (win/lost/draw). Some games have 1 instance but others have 2 instances as we recorded the moves for both players per game. The game terminates after 3 up to 9 moves as indicated int he data observations. The dataset can be explored using classification algorithms in machine learning, regression, time series and also clustering. Researchers can use it to develop games tactics as well as predict the outcome of the game. Below are detailed information about the project and the apps developed during the project. The website is tictactoegame.wordpress.com Google Play Store :https://play.google.com/store/apps/details?id=com.mit.tictactoeai Apple Store: https://itunes.apple.com/us/app/tic-tac-toe-ai/id1419451065?mt=8 Github: https://github.com/jchu521/React_Native_TicTacToe Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration Your data will be in front of the world's largest data science community. What questions do you want to see answered?