license: other
license_name: research-noncommercial
language:
- sl
tags:
- medical
- biomedical
- slovenian
- evaluation
- benchmark
- research
pretty_name: Slovenian Medical Eval (Vran)
task_categories:
- question-answering
- text-generation
size_categories:
- 1K<n<10K
Slovenian Medical Eval — med-slo-eval
Evaluation suite for Slovenian biomedical language models (used to score the Vran research model). Two parts:
Research / educational use only. Not for clinical use. These are test items for evaluating language models, not medical guidance.
1. Open-ended benchmark (benchmark/)
Held-out, hand-curated open-ended clinical questions in Slovenian, scored by an LLM judge on pravilnost (correctness) and popolnost (completeness), 1–5.
| file | items | format |
|---|---|---|
benchmark/edge_by_domain.jsonl |
130 | {"id", "domain", "q"} — 13 domains × 10 (kardiologija, nevrologija, pediatrija, farmakologija, urgentna_medicina, …) |
benchmark/hard_questions.jsonl |
50 | {"id", "category", "q"} — hard clinical vignettes |
No reference answers are shipped (judged by model, not exact-match) — keeping the questions out of training sets avoids benchmark contamination.
2. Held-out test split (test/)
test/test.jsonl — 7,144 unified-schema SFT records with reference answers
(the held-out test split of the med-slo-sft corpus). Same schema as
texdata/med-slo-sft:
messages (system/user/assistant), domain, metadata, etc. Use for held-out
loss/quality evaluation. Split by content-based dedup_cluster → no leakage from train.
Usage
Answer the benchmark questions with your model (Slovenian, thinking optional), then judge each answer for correctness/completeness with a strong LLM judge (1–5). Report per-domain and overall means. For the test split, score generated answers against the references or compute held-out perplexity.
License
Research and non-commercial use only. The benchmark is authored; the test split is a derivative of open medical datasets (translated) — respect the most restrictive upstream license. You are responsible for applicable law (EU AI Act, GDPR).