Teaching-Feedback Classification - Spanish Sentiment (Few-Shot): leaderboard
This benchmark re-runs a validated protocol for classifying open-ended teaching-evaluation comments, holding the annotation guide, splits and held-out evaluation fixed while varying the model. This board sorts Spanish university comments into negative, neutral and positive sentiment with examples in the prompt. The score is weighted F1, and the prompt carries the label definitions from the annotation guide.
Metric: Weighted F1 (%; three-way sentiment classification (negative, neutral, positive) of open-ended teaching-evaluation comments, over the 233-comment held-out split of 1,165 annotated Spanish comments from the SIIAU teaching-evaluation system (single stratified split, seed 20260616); few-shot prompting with the annotation guide's label definitions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Haiku 4.5 | 92.2 | #568 |
| 2 | Claude Opus 4.8 | 91 | #56 |
| 3 | Qwen 2.5 1.5B Instruct | 81.9 | #7470 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=teaching-feedback-classification-spanish-sentiment-few-shot · How It Works · Data refreshed daily, snapshot 2026-11-13.