# 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:**

<figure><img src="/files/henI9AiWqHzluki5T9iG" alt=""><figcaption></figcaption></figure>

**Execution via SDK:**

```python
metrics=[
    {"name": "ChrF", "schema_mapping": {"generated_code": "Generated Code", "reference_code": "Reference Code"}}
]

```


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