Omidf Squad Precision Recall

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

# omidf-squad-precision-recall

> Metric `omidf/squad_precision_recall` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `omidf/squad_precision_recall` or wants HF evaluate's canonical version.

## Recipe

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

## Don'ts

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