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---
dataset_info:
features:
- name: image
dtype: image
- name: question
dtype: string
- name: ground_truth
dtype: string
- name: is_text_only
dtype: bool
- name: year
dtype: int32
- name: class
dtype: string
- name: task_id
dtype: string
- name: math_category
dtype: string
- name: difficulty
dtype: string
splits:
- name: train
num_bytes: 158221288
num_examples: 3557
download_size: 152844456
dataset_size: 158221288
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- visual-question-answering
language:
- de
tags:
- Känguruh-Wettberwerb
- math
- vlm
- school
---
# Känguruh Wettbewerb Dataset
This dataset is a German benchmark from the official _Känguru der Mathematik_ competition materials covering 1998--2025 [(Link)](https://www.mathe-kaenguru.de).
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}
}
```