kangaroo_dataset / evaluation_protocol.md
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Initial anonymized dataset release
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# Evaluation Protocol
The benchmark is designed for single-turn exam-mode evaluation.
Each item is presented once with:
- German problem text,
- five answer choices `A`--`E`,
- any question image,
- any image-based answer options.
The model must return either one final answer letter or an explicit abstention token such as `Declined`.
Scoring follows the original contest rules:
- correct answer: `+points`,
- wrong answer: `-points / 4`,
- abstention: `0`.
Accuracy treats abstentions as incorrect so that solving performance and abstention policy can be analyzed separately.
Exam-level results should report both raw contest points and normalized percent maximum score:
```text
percent_max = total_points / maximum_possible_points * 100
```
Evaluation should avoid tool use, retrieval, multi-turn correction, or item revisiting unless explicitly reported as a separate protocol.