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Sudoku Puzzles with Difficulty Metrics by Human Players

The dataset contains difficulty ratings of Sudoku puzzles experienced by human players, intended for evaluating Sudoku difficulty‑rating algorithms. It is built from human gameplay time and success rate, providing two difficulty metrics: $D_{TO}$ (time‑only) and $D_{TR}$ (time and completion rate).

Updated 5/1/2024
github

Description

Dataset Overview

Dataset Name

A Dataset of Sudoku Puzzles with Difficulty Metrics by Human Players

Dataset Purpose

To construct a dataset containing human‑experienced difficulty metrics for Sudoku puzzles, facilitating evaluation of Sudoku difficulty‑rating algorithms.

Dataset Characteristics

  • Based on actual game records from human players.
  • Includes two difficulty metrics:
    • $D_{TO}$: considers solving time only.
    • $D_{TR}$: considers both solving time and completion rate.

Data Collection Method

Data were collected via an Android application named Cloud Sudoku.

Related Publications

  • Y.C. Lin, W.Y. Kuo, and S.W. Wang, “Cloud Sudoku: A Sudoku Application to Collect Game Records by Human Players,” in IEEE International Conference On Consumer Electronics – Taiwan (IEEE ICCE‑TW 2024), Taichung, Taiwan, July 9‑11, 2024.

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Topics

Sudoku
Game Difficulty Assessment

Source

Organization: github

Created: 4/11/2024

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