Red1bluelost Evaluate Genericify Cpp

---
name: red1bluelost-evaluate-genericify-cpp
description: Compute red1bluelost/evaluate_genericify_cpp via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of red1bluelost/evaluate_genericify_cpp.
metadata:
  skill_kind: metric
  source_lib: huggingface-evaluate
  hf_module: red1bluelost/evaluate_genericify_cpp
  source: library_introspection
---

# red1bluelost-evaluate-genericify-cpp

> Metric `red1bluelost/evaluate_genericify_cpp` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `red1bluelost/evaluate_genericify_cpp` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("red1bluelost/evaluate_genericify_cpp")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

- Don't assume your in-house `red1bluelost/evaluate_genericify_cpp` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.