> 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/chrf.md).
# ChrF
**Objective:**
ChrF evaluates code generation models by calculating character-level n-gram overlaps between generated code and reference solutions. It is a token-agnostic metric that assesses the similarity in structure and detail, providing a character-level view of accuracy, ideal for detecting subtle code variations or formatting issues.
**Required Columns in Dataset:**
`Generated Code`, `Reference Code`
**Interpretation:**
* **High ChrF:** Indicates high similarity to the reference code, reflecting consistency in both syntax and function.
* **Low ChrF:** Shows potential differences in code structure, which may affect readability or correctness.
**Execution via UI:**
**Execution via SDK:**
```python
metrics=[
{"name": "ChrF", "schema_mapping": {"generated_code": "Generated Code", "reference_code": "Reference Code"}}
]
```
---
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