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mertkayacs/jevalt-bench

JevAlt benchmark: English, Turkish and German decision models Test data and recorded results for text classification, routing and decisions with probabilities. Deem-4B scores 94.7% against Kev-4B's 84.7% on held-out English decisions. The test and training rows share a data pipeline, so this measures performance on JevAlt's target task. Quick facts Item Value Languages English, Turkish, German Test rows 3,116 (English 1,277, Turkish 1,019, German 820)… See the full description on the dataset page: https://huggingface.co/datasets/mertkayacs/jevalt-bench.

Author / organizationmertkayacs
License (as declared)other
Downloads1.5K (as reported by Hugging Face)
Likes1
Created1 October 2026
Last updated at source15 October 2026
benchmarkevaluationtext-classificationdecision-modelcalibrationturkishgermanjevllm-evaluationprompt-injection
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