metadata
dataset_info:
features:
- name: PuzzleId
dtype: string
- name: FEN
dtype: string
- name: Moves
dtype: string
- name: Rating
dtype: int64
- name: RatingDeviation
dtype: int64
- name: Popularity
dtype: int64
- name: NbPlays
dtype: int64
- name: Themes
dtype: string
- name: GameUrl
dtype: string
- name: OpeningTags
dtype: string
splits:
- name: train
num_bytes: 888854149
num_examples: 4062423
download_size: 423300746
dataset_size: 888854149
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc0-1.0
pretty_name: Lichess puzzles
tags:
- chess
Dataset Card for Lichess Puzzles
4,062,423 chess puzzles, rated and tagged. See them in action on Lichess.
Dataset Usage
Using the datasets library:
from datasets import load_dataset
dset = load_dataset("Lichess/puzzles", split="train")
Dataset Details
One row of the dataset looks like this:
{'PuzzleId': '0009B',
'FEN': 'r2qr1k1/b1p2ppp/pp4n1/P1P1p3/4P1n1/B2P2Pb/3NBP1P/RN1QR1K1 b - - 1 16',
'Moves': 'b6c5 e2g4 h3g4 d1g4',
'Rating': 1112,
'RatingDeviation': 74,
'Popularity': 87,
'NbPlays': 569,
'Themes': 'advantage middlegame short',
'GameUrl': 'https://lichess.org/4MWQCxQ6/black#31',
'OpeningTags': 'Kings_Pawn_Game Kings_Pawn_Game_Leonardis_Variation'}
Dataset Creation
Generating these chess puzzles took more than 50 years of CPU time. We went through 300,000,000 analyzed games from the Lichess database, and re-analyzed interesting positions with Stockfish 12/13/14/15 NNUE at 40 meganodes. The resulting puzzles were then automatically tagged. To determine the rating, each attempt to solve is considered as a Glicko2 rated game between the player and the puzzle. Finally, player votes refine the tags and define popularity.