国际象棋游戏数据集

这是从Lichess.org网站上的精选用户那里收集的20,000多个游戏的集合，以及如何收集更多游戏。将来，我还会收集更多游戏。
内容范围
游戏编号；
额定（T / F）；
开始时间;
时间结束;
转弯数量;
游戏状态；
优胜者;
时间增量；
白色玩家编号；
白人球员等级；
黑人玩家ID；
黑人球员等级；
标准象棋符号的所有动作；
开放的生态（任何给定开口的标准化代码，在此处列出）；
开幕名称；
开启层（开启阶段的移动次数）

探索方向
单个国际象棋游戏中包含许多信息，更不用说多个游戏的完整数据集了。它主要是一种模式游戏，而数据科学就是要检测数据模式，这就是为什么国际象棋是过去在AI领域投入最多的原因之一。该数据集收集了20,000个游戏中可用的所有信息，并以易于处理的格式进行了分析，例如，分析了允许玩家以黑白棋获胜的方式，多少元（游戏外）影响游戏的因素，黑白与空缺与胜利之间的关系等等。

数据来源
对于巫妖这些独立的游戏。我使用Lichess API收集了这些数据，该API可以收集任何给定用户的游戏历史记录。困难的部分是收集要使用的用户名，但是API还允许转储Lichess团队中的所有用户。Lichess上有几支球队，有1500多名玩家，因此这被证明是吸引用户从中收集游戏的有效方法。

This is a collection of over 20,000 chess games gathered from selected users on Lichess.org, alongside guidelines on how to collect additional games. More games will be collected in the future.

Content Scope
Game ID;
Rated (T/F);
Start time;
End time;
Number of turns;
Game status;
Winner;
Time increment;
White player ID;
White player rating;
Black player ID;
Black player rating;
All moves in Standard Algebraic Notation (SAN);
Opening ECO (standardized code for any given opening, listed herein);
Opening name;
Opening ply (number of moves in the opening phase)

Research Directions
A single chess game contains extensive information, let alone a complete dataset comprising multiple games. Chess is fundamentally a pattern-driven game, and data science focuses on detecting patterns within data, which is why chess has been one of the fields that has received the most significant investment in AI research over the years. This dataset compiles all available information from 20,000 games and analyzes it in a readily processable format. For instance, it analyzes the strategies that allow players to win as White or Black, how off-game factors influence game outcomes, the correlation between playing as White/Black and winning, and more.

Data Source
These standalone games were sourced from Lichess. I collected this data using the Lichess API, which enables retrieval of the game history for any specified user. The most challenging aspect was gathering eligible usernames for data collection, but the API also supports exporting all users within Lichess teams. There are multiple teams on Lichess with over 1,500 players each, which proved to be an efficient method for recruiting users from whom to collect games.

搜集汇总

背景与挑战

背景概述

该数据集从Lichess.org收集了20,000多个国际象棋游戏，包含游戏编号、时间、玩家信息、动作等详细字段，适用于数据模式分析。数据通过Lichess API从精选用户中获取，并以易于处理的格式提供。