DFKI-SLT/kangaroo_math_benchmark

Känguruh Wettbewerb Dataset

This dataset is a German benchmark from the official Känguru der Mathematik competition materials covering 1998--2025 (Link). Each instance is a single multiple-choice problem with five options (A - E) from school grade levels 3 - 13. The benchmark targets curriculum-aligned mathematical reasoning in German with explicit visual grounding (diagrams, geometric figures, spatial arrangements) while enabling controlled analyzes by year, grade group, difficulty, math subdomain, and modality.

Processing

Collected PDFs are converted into benchmark-instances via the following four-step pipeline:

• 1. Task localization and cropping
• 2. Manual screening
• 3. Solution alignment
• 4. Structured fields and derived labels

Schema and Labels

Each instance contains:

• image: PNG crop
• answer: ground-truth option
• year: task year
• grade_level: targetet school year of task
• task_id: task id
• difficulty: diffulty classes A, B, C
• math_category: one of arithmetic, geometry, algebra, probability, unknown
• is_text_only: bool

Dataset Overview

Statistic	Value
Years	1998 - 2025
Grade levels	3 - 13 (grouped)
Source PDFs / pages	140 / 560
Answer format	5-way MC (A - E)
Total tasks N	3,557
Text-only / visually necessary	61% / 39%
Difficulty (A/B/C)	32.9 / 33.3 / 33.8%

Cite as

@inproceedings{hug2026kangaroobench,
  author    = {Hug, Dennis and Wolf, Ren\'e and Thomas, Philippe},
  title     = {KangarooBench: A Native German Benchmark for Evaluating the Modality Gap in Visual Mathematics},
  booktitle = {Conference and Labs of the Evaluation Forum (CLEF 2026)},
  year      = {2026},
  note      = {To appear}
}