Datasets:
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- visual-question-answering
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language:
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- de
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tags:
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- Känguruh-Wettberwerb
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- math
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- vlm
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- school
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---
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# Känguruh Wettbewerb Dataset
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This dataset is a German benchmark from the official _Känguru der Mathematik_ competition materials covering 1998--2025 [(Link)](https://www.mathe-kaenguru.de).
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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.
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### Processing
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Collected PDFs are converted into benchmark-instances via the following four-step pipeline:
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* 1. Task localization and cropping
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* 2. Manual screening
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* 3. Solution alignment
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* 4. Structured fields and derived labels
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### Schema and Labels
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Each instance contains:
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* _image_: PNG crop
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* _answer_: ground-truth option
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* _year_: task year
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* _grade_level_: targetet school year of task
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* _task_id_: task id
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* _difficulty_: diffulty classes A, B, C
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* _math_category_: one of arithmetic, geometry, algebra, probability, unknown
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* _is_text_only_: bool
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## Dataset Overview
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| Statistic | Value |
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| --- | --- |
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| Years | 1998 - 2025 |
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| Grade levels | 3 - 13 (grouped) |
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| Source PDFs / pages | 140 / 560 |
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| Answer format | 5-way MC (A - E) |
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| Total tasks N | 3,557 |
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| Text-only / visually necessary | 61% / 39% |
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| Difficulty (A/B/C) | 32.9 / 33.3 / 33.8% |
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## Cite as
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[added later]
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