Compute yuyijiong/quad_match_score via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of yuyijiong/quad_match_score.
Scanned 9/11/2026
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npx -y skills add qhjqhj00/research-skills-pool --skill yuyijiong-quad-match-score --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: yuyijiong-quad-match-score
description: Compute yuyijiong/quad_match_score via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of yuyijiong/quad_match_score.
metadata:
skill_kind: metric
source_lib: huggingface-evaluate
hf_module: yuyijiong/quad_match_score
source: library_introspection
---
# yuyijiong-quad-match-score
> Metric `yuyijiong/quad_match_score` from the HuggingFace `evaluate` library.
## When to invoke
User asks to compute `yuyijiong/quad_match_score` or wants HF evaluate's canonical version.
## Recipe
```python
import evaluate
metric = evaluate.load("yuyijiong/quad_match_score")
result = metric.compute(predictions=preds, references=refs)
print(result)
```
## Don'ts
- Don't assume your in-house `yuyijiong/quad_match_score` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.
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