README.md

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license: apache-2.0 task_categories: - question-answering tags: - sudoku - reasoning - hierarchical-reasoning-model - puzzle-solving pretty_name: Sudoku-Extreme & Augmented Datasets for HRM Reproduction

Sudoku-Extreme Datasets for HRM Reproduction

Preprocessed datasets used for reproducing the Hierarchical Reasoning Model (HRM) and Augmented HRM papers on the Sudoku-Extreme benchmark.

Datasets

Dataset	Description	Train Examples	Test Examples
sudoku-extreme-1k-aug-1000	Vanilla Sudoku-Extreme (1000 puzzles, 1000x augmented)	1,001,000	422,786
sudoku-extreme-1k-aug-1000-hint	Augmented version with easier puzzles mixed in	2,002,000	422,786

Source Papers

• HRM: Hierarchical Reasoning Model (Wang et al., 2025)
• Augmented HRM: Are Your Reasoning Models Reasoning or Guessing? (Ren & Liu, 2026)

Dataset Format

Each dataset contains train/ and test/ directories with:

• all__inputs.npy — Puzzle inputs, shape (N, 81), values 1-10
• all__labels.npy — Solution labels, shape (N, 81), values 2-10
• all__puzzle_indices.npy — Cumulative indices marking puzzle boundaries
• all__puzzle_identifiers.npy — Puzzle type IDs
• all__group_indices.npy — Cumulative group boundary indices
• dataset.json — Metadata (vocab_size=11, seq_len=81, pad_id=0)

How to Build From Scratch

# Vanilla dataset
python dataset/build_sudoku_dataset.py --output-dir data/sudoku-extreme-1k-aug-1000 --subsample-size 1000 --num-aug 1000

# Augmented (hint) dataset
python dataset/build_sudoku_dataset.py --output-dir data/sudoku-extreme-1k-aug-1000-hint --subsample-size 1000 --num-aug 1000 --hint