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.
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.
Dataset Usage
Using the datasets
library:
from datasets import load_dataset
dset = load_dataset("Lichess/puzzles", split="train")
Dataset Details
Dataset Sample
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 Fields
Every row of the dataset contains the following fields:
PuzzleId
:FEN
:Moves
:Rating
:RatingDeviation
:Popularity
:NbPlays
:Themes
:GameUrl
:OpeningTags
: