--- license: cdla-permissive-2.0 language: [de, fr, it, en, rm] task_categories: [translation, text-generation] tags: [civil-protection, alerts, multilingual, switzerland, apertus, terminology, romansh, evaluation] pretty_name: Swiss Alert Fidelity (Sturmglocke) --- # Swiss Alert Fidelity — multilingual civil-protection alerts by Apertus 1.5 Evaluation data of the Hack Apertus 2026 Track 2B project *Sturmglocke* (Team Barry): 30 structured alert cases (natural hazard, zone, invented place names, order, deadline, assembly point, hotline) and 720 alert texts written by **Apertus 1.5 8B and 70B** in French, Italian, English and Romansh under three conditions, with per-text scores. ## Dataset Details - **Curated by:** Team Barry (Tushar Agarwal) - **Language(s):** French, Italian, English, Romansh (Rumantsch Grischun); German source/facts - **License:** CDLA-Permissive-2.0 (instance-level licences in `metadata.jsonl`) - **Git repository:** Sturmglocke (Track 2B submission), `track_2b/src/sturmglocke/evals` ## Uses ### Direct Use Benchmarking whether an LLM preserves safety-critical facts — above all the **official hazard term** — when producing multilingual public alerts; studying guard pipelines (C2) against plain translation (C0). ### Out-of-Scope Use Not a source of real alerts. Places and municipalities are invented. Not a measure of general translation quality. ### Specifications Conditions: **C0** Apertus writes the German alert from the facts, then plain-translates it; **C1** slot-first rendering with the official term locked; **C2** C1 + deterministic checks + read-back + repair (the shipped pipeline). ## Dataset Structure - `eval_cases.jsonl` — one structured case per line (`case_id`, hazard, zone, places, action, deadline, assembly point, hotline …) - `model_responses.jsonl` — one alert text per (case, model, condition, language) with: `hazard_class` (official / acceptable / wrong_process / missing), deterministic `checks`, `romansh_unknown_words` (official RG Hunspell), semantic verdicts of two independent open-weights judges (`judge_qwen3_235b`, `judge_llama33_70b`), and for Romansh a German `backtranslation_de` (ZurichNLP romansh-nllb-1.3b) with `backtranslation_meaning_ok`. - `metadata.jsonl` — instance-level source and licence. ## Dataset Creation ### Curation Rationale Translated alerts can preserve every number and time but swap the hazard process (debris flow → landslide/rockslide), which changes protective behaviour. We needed a reproducible, model-free way to measure this in Swiss languages. ### Source Data #### Data Collection Cases from a seeded generator (seed 42). Responses generated at temperature 0 via the CSCS inference API (Oct 2026). #### Source Data Producers and Data Subjects Structured facts authored by the team; texts produced by Apertus 1.5. No real persons; no data subjects. #### Ownership and Consent Management No personal data; no consent required. Official terminology is referenced by TERMDAT / Pledari Grond entry, single terms only. #### Data Processing and Quality Control Deterministic scoring with an official-terminology glossary (TERMDAT ids, Pledari Grond); Romansh vocabulary with the Lia Rumantscha RG Hunspell dictionary (MIT); semantic read-back by two independent open-weights judges; manual inspection of failure classes (see the project's technical report). #### Data Instance Licenses All instances CDLA-Permissive-2.0 (see `metadata.jsonl`). ### Annotations #### Annotation Process Automatic: deterministic checks + LLM judges (declared). No human labels; judge disagreement concentrates on Romansh, which neither judge reads reliably (documented). #### Judge agreement (semantic verdict "meaning preserved") | Languages | n | Agreement | Cohen's kappa | |---|---|---|---| | French / Italian / English | 540 | 95.6 % | 0.72 | | Romansh | 180 | 63.9 % | 0.22 | #### Annotator Details Qwen3-235B-A22B-Instruct-2507 and Llama-3.3-70B-Instruct via Hugging Face Inference Providers; ZurichNLP romansh-nllb-1.3b. ## Risks, Bias, and Limitations Invented names; 30 cases; five hazards. Acceptable-synonym lists are limited; unseen correct synonyms count as "missing". Romansh judged by dictionary and back-translation, not by native speakers. ### Personally Identifiable Information None. ### Sensitive Information None. ### Recommendations Use the deterministic checks as the primary metric; treat judge verdicts as secondary, especially for Romansh.