> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.
# Camel.datagen.evol instruct.scorer
## BaseScorer
```python theme={"system"}
class BaseScorer(ABC):
```
### score
```python theme={"system"}
def score(self, reference_prompt: str, candidate_prompt: str):
```
Compare a candidate prompt against a reference prompt and
return a tuple of scores. The higher the score, the better.
For example, (diversity, difficulty, feasibility).
## MathScorer
```python theme={"system"}
class MathScorer(BaseScorer):
```
### **init**
```python theme={"system"}
def __init__(self, agent: Optional[ChatAgent] = None):
```
### score
```python theme={"system"}
def score(self, reference_problem: str, new_problem: str):
```
Evaluates the new math problem relative to the reference math
problem.
**Parameters:**
* **reference\_problem** (str): The reference math problem.
* **new\_problem** (str): The new or evolved math problem.
**Returns:**
Dict\[str, int]: A dictionary with scores for diversity, difficulty,
validity, and solvability.
## GeneralScorer
```python theme={"system"}
class GeneralScorer(BaseScorer):
```
### **init**
```python theme={"system"}
def __init__(self, agent: Optional[ChatAgent] = None):
```
### score
```python theme={"system"}
def score(self, reference_problem: str, new_problem: str):
```
Evaluates the new problem against the reference problem using
structured scoring.
**Parameters:**
* **reference\_problem** (str): The original problem.
* **new\_problem** (str): The evolved or new problem.
**Returns:**
Dict\[str, int]: A dictionary with scores for diversity, complexity,
and validity.