Viona Kendall Tau

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

# viona-kendall-tau

> Metric `Viona/kendall_tau` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `Viona/kendall_tau` or wants HF evaluate's canonical version.

## Recipe

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

## Don'ts

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