Datacard: Gomoku (Five in a Row) AI Dataset
Dataset Description
Dataset Summary
The Gomoku (Five in a Row) AI Dataset contains board states and moves from 875 self-played Gomoku games, totaling 26,378 training examples. The data was generated using WinePy, a Python implementation of the Wine Gomoku AI engine. Each example consists of a board state and the corresponding optimal next move as determined by an alpha-beta search algorithm with pattern recognition.… See the full description on the dataset page: https://huggingface.co/datasets/Karesis/Gomoku.