> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/code-generation/robust-pass-k.md).
# Robust Pass\@k
**Objective:**
Robust Pass\@k assesses model robustness by evaluating generated code’s ability to pass test cases across multiple perturbations of the input prompt. This metric provides insights into a model’s stability and robustness when faced with variations, enhancing its reliability for critical tasks.
**Required Columns in Dataset:**
`Original Prompt`, `Perturbed Prompt`, `Generated Code`
**Interpretation:**
* **High Robust Pass\@k:** Suggests that the model-generated code maintains functional accuracy across varied prompts, indicating robustness.
* **Low Robust Pass\@k:** Reveals potential instability in code generation, as output varies in functional quality across perturbations.
**Execution via UI:**
**Execution via SDK:**
```python
metrics=[
{"name": "Robust Pass@k", "schema_mapping": {"original_prompt": "Original Prompt", "perturbed_prompts": "Perturbed Prompts", "generated_code": "Generated Code"}}
]
```
---
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