Ronaldahmed Nwentfaithfulness

---
name: ronaldahmed-nwentfaithfulness
description: Compute ronaldahmed/nwentfaithfulness via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of ronaldahmed/nwentfaithfulness.
metadata:
  skill_kind: metric
  source_lib: huggingface-evaluate
  hf_module: ronaldahmed/nwentfaithfulness
  source: library_introspection
---

# ronaldahmed-nwentfaithfulness

> Metric `ronaldahmed/nwentfaithfulness` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `ronaldahmed/nwentfaithfulness` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("ronaldahmed/nwentfaithfulness")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

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