Compute DarrenChensformer/eval_keyphrase via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of DarrenChensformer/eval_keyphrase.
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---
name: darrenchensformer-eval-keyphrase
description: Compute DarrenChensformer/eval_keyphrase via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of DarrenChensformer/eval_keyphrase.
metadata:
skill_kind: metric
source_lib: huggingface-evaluate
hf_module: DarrenChensformer/eval_keyphrase
source: library_introspection
---
# darrenchensformer-eval-keyphrase
> Metric `DarrenChensformer/eval_keyphrase` from the HuggingFace `evaluate` library.
## When to invoke
User asks to compute `DarrenChensformer/eval_keyphrase` or wants HF evaluate's canonical version.
## Recipe
```python
import evaluate
metric = evaluate.load("DarrenChensformer/eval_keyphrase")
result = metric.compute(predictions=preds, references=refs)
print(result)
```
## Don'ts
- Don't assume your in-house `DarrenChensformer/eval_keyphrase` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.