原文：
Chess Game Dataset (Lichess)
20,000+ Lichess Games, including moves, victor, rating, opening details and more
General Info
This is a set of just over 20,000 games collected from a selection of users on the site Lichess.org, and how to collect more. I will also upload more games in the future as I collect them. This set contains the:
- 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 Chess Notation;
- Opening Eco (Standardised Code for any given opening, list here);
- Opening Name;
- Opening Ply (Number of moves in the opening phase)
For each of these separate games from Lichess. I collected this data using the Lichess API, which enables collection of any given users game history. The difficult part was collecting usernames to use, however the API also enables dumping of all users in a Lichess team. There are several teams on Lichess with over 1,500 players, so this proved an effective way to get users to collect games from.
Possible Uses
Lots of information is contained within a single chess game, let alone a full dataset of multiple games. It is primarily a game of patterns, and data science is all about detecting patterns in data, which is why chess has been one of the most invested in areas of AI in the past. This dataset collects all of the information available from 20,000 games and presents it in a format that is easy to process for analysis of, for example, what allows a player to win as black or white, how much meta (out-of-game) factors affect a game, the relationship between openings and victory for black and white and more.
译：
国际象棋游戏数据集（Lichess）
20000+巫妖王游戏，包括移动，维克多，评分，开场细节等等
信息概述
这是一组从网站上精选的用户中收集的两万多个游戏Lichess.org网站，以及如何收集更多。我也会上传更多的游戏，因为我收集他们。此集合包含：
●游戏ID；
●额定值（T/F）；
●开始时间；
●结束时间；
●匝数；
●游戏状态；
●获胜者；
●时间增量；
●白色玩家ID；
●白人球员等级；
●黑色玩家ID；
●黑玩家等级；
●所有棋步均采用标准象棋记数法；
●开口Eco（任何给定开口的标准化代码，请在此列出）；
●开业名称；
●开口层（开口阶段的移动次数）
从巫妖王那里得到的每一个游戏。任何一个给定的游戏API都能让用户收集到历史数据。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。在Lichess上有几个团队有超过1500名玩家，所以这证明是一种让用户收集游戏的有效方法。
可能的用途
很多信息都包含在一个象棋游戏中，更不用说多个游戏的完整数据集了。它主要是一个模式游戏，而数据科学是关于检测数据中的模式的，这就是为什么国际象棋在过去一直是人工智能领域投资最多的领域之一。这个数据集收集了20000场比赛的所有可用信息，并以一种易于处理的格式呈现出来，例如，是什么让玩家以黑或白获胜，有多少元（游戏外）因素影响游戏，黑白游戏的开场白和胜利之间的关系等等。
链接：获取数据集