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AlphaViT

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k-z commited on
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Add training datasets

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  1. README.md +8 -0
  2. training_dataset_for_the_first_iteration/Connect4_54_boards.npy +3 -0
  3. training_dataset_for_the_first_iteration/Connect4_54_probs.npy +3 -0
  4. training_dataset_for_the_first_iteration/Connect4_54_vs.npy +3 -0
  5. training_dataset_for_the_first_iteration/Connect4_65_boards.npy +3 -0
  6. training_dataset_for_the_first_iteration/Connect4_65_probs.npy +3 -0
  7. training_dataset_for_the_first_iteration/Connect4_65_vs.npy +3 -0
  8. training_dataset_for_the_first_iteration/Connect4_boards.npy +3 -0
  9. training_dataset_for_the_first_iteration/Connect4_probs.npy +3 -0
  10. training_dataset_for_the_first_iteration/Connect4_vs.npy +3 -0
  11. training_dataset_for_the_first_iteration/Gomoku66_boards.npy +3 -0
  12. training_dataset_for_the_first_iteration/Gomoku66_probs.npy +3 -0
  13. training_dataset_for_the_first_iteration/Gomoku66_vs.npy +3 -0
  14. training_dataset_for_the_first_iteration/Gomoku77_boards.npy +3 -0
  15. training_dataset_for_the_first_iteration/Gomoku77_probs.npy +3 -0
  16. training_dataset_for_the_first_iteration/Gomoku77_vs.npy +3 -0
  17. training_dataset_for_the_first_iteration/Gomoku_boards.npy +3 -0
  18. training_dataset_for_the_first_iteration/Gomoku_probs.npy +3 -0
  19. training_dataset_for_the_first_iteration/Gomoku_vs.npy +3 -0
  20. training_dataset_for_the_first_iteration/Othello66_boards.npy +3 -0
  21. training_dataset_for_the_first_iteration/Othello66_probs.npy +3 -0
  22. training_dataset_for_the_first_iteration/Othello66_vs.npy +3 -0
  23. training_dataset_for_the_first_iteration/Othello_boards.npy +3 -0
  24. training_dataset_for_the_first_iteration/Othello_probs.npy +3 -0
  25. training_dataset_for_the_first_iteration/Othello_vs.npy +3 -0
  26. training_dataset_for_the_first_iteration/TicTacToe_boards.npy +3 -0
  27. training_dataset_for_the_first_iteration/TicTacToe_probs.npy +3 -0
  28. training_dataset_for_the_first_iteration/TicTacToe_vs.npy +3 -0
README.md CHANGED
@@ -11,6 +11,14 @@ This repository contains the weights for the following configurations:
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  Each filename includes digits indicating the training iteration. For example, checkpoint_1000.model represents the model saved after 1000 training iterations.
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  ### GitHub Repository
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  The full source code for AlphaViT, including training scripts and detailed implementation, is available on GitHub:
 
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  Each filename includes digits indicating the training iteration. For example, checkpoint_1000.model represents the model saved after 1000 training iterations.
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+ ## training_dataset_for_the_first_iteration/
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+
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+ Initial training datasets for various games, organized by game type. Files include:
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+
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+ - Board states (*.boards.npy)
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+ - Move probabilities (*.probs.npy)
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+ - Value outputs (*.vs.npy)
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+
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  ### GitHub Repository
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  The full source code for AlphaViT, including training scripts and detailed implementation, is available on GitHub:
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