angeluriot/Chess_games
A dataset of high level chess games for training machine learning models.
This is a massive collection of 14 million high-level chess games, complete with player Elo ratings, game outcomes, and move sequences in various notations. It’s designed for anyone looking to build or train chess AI models, analyze game strategies, or perform large-scale data visualization. Chess AI developers, researchers, and advanced chess strategists would find this dataset particularly useful.
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Use this if you need a large, structured dataset of professional and high-level chess games to develop or evaluate chess engines, create opening or endgame databases, or study player performance trends.
Not ideal if you're looking for real-time game data, a small set of games for casual analysis, or a dataset specifically focused on amateur play.
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MIT
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Last pushed
Nov 21, 2024
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