A Data Mining Adventure into the World of Lichess Puzzle Database
The article explores the intricacies of Backrank Mates using data from the Lichess Puzzle Database. It discusses how to identify and analyze these checkmate scenarios through data mining techniques. The author emphasizes the importance of feedback on the GofChess Language used for this analysis.
- ▪The Lichess Puzzle Database contains over 4 million puzzles, which are analyzed for Backrank Mate scenarios.
- ▪The analysis identifies 5674 puzzles that represent a simple Backrank Mate in one move.
- ▪The article highlights various cases where the opponent can block the check, leading to further puzzle filtering.
Opening excerpt (first ~120 words) tap to expand
CommunityBy monthBy topicBy LichessMy likesMidjourneyHow many different BackRank Mates are there?herokuMay 24, 20261126 viewsEnglish (US)ChessPuzzleTacticsChess engineSoftware DevelopmentA Data Mining Adventure into the world of Lichess Puzzle DatabaseIf you have read the first chapter of the book Bobby Fischer Teaches Chess, you are familiar with the title. Bobby Fischer discusses different special cases of how a Backrank Mate can be present in real games. In this post we are going to start with the very basics and delve deeper into those different special cases. So that once we think about it, we can appreciate how the most basic checkmate can get so involved.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at lichess.org.
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