# Bridgeai Lab Semf1

> Compute BridgeAI-Lab/SemF1 via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of BridgeAI-Lab/SemF1.

- Skill: `qhjqhj00/bridgeai-lab-semf1` (Agent Skill)
- Install (CLI): `npx skillmds add qhjqhj00/bridgeai-lab-semf1`
- Raw SKILL.md: https://api.skillmd.com/api/skills/qhjqhj00/bridgeai-lab-semf1/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: qhjqhj00 (https://skillmd.com/u/qhjqhj00)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/qhjqhj00/bridgeai-lab-semf1

---


# bridgeai-lab-semf1

> Metric `BridgeAI-Lab/SemF1` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `BridgeAI-Lab/SemF1` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("BridgeAI-Lab/SemF1")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

- Don't assume your in-house `BridgeAI-Lab/SemF1` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.