--- 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} } ```