Ola13 Precision At K

---
name: ola13-precision-at-k
description: Compute ola13/precision_at_k via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of ola13/precision_at_k.
metadata:
  skill_kind: metric
  source_lib: huggingface-evaluate
  hf_module: ola13/precision_at_k
  source: library_introspection
---

# ola13-precision-at-k

> Metric `ola13/precision_at_k` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `ola13/precision_at_k` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("ola13/precision_at_k")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

- Don't assume your in-house `ola13/precision_at_k` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.