index / uran-lajci/system-one-multilingual-sentiment
system-one-multilingual-sentiment
Benchmark of five System One (decision) models: Jev, Clef, Clef-flash, Laya and Laya-multilingual. Three-class sentiment analysis across 36 high-, medium- and low-resource languages, zero-shot and few-shot, compared with five LLMs and task-specific baselines from Kastrati et al. (2026).
Research and EvalsFeature ScoringListedPython
Repository
Stars0
LanguagePython
LicenseCC0-1.0
Created2026-11-02
Last pushed2026-11-08
Officialno
Judgment
Genuine Jev project0.95
gate 0.5
Uses Jev at runtime0.75
Is a meta list0.03
Is a reimplementation0.06
Quality scales
Substance1.70 / 3
gate 0.5
Docs1.78 / 3
Novelty2.10 / 3
Composite score0.61
Category distribution
Research and Evals1.00
SDKs and Clients0.00
Integrations0.00
Agent and Dev Tooling0.00
Applications0.00
Games and Simulation0.00
Learning0.00
Other0.00
Assigned categoryResearch and Evals
Category probability1.00
Category confidence1.00
PatternFeature Scoring
Pattern confidence0.52
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:"system one" jev
Provenance
Modeljev-1.14.0
Question setv2
Judged at2026-11-09 14:58 UTC