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153 | class CorrectnessEvaluator(BaseEvaluator):
"""
Correctness evaluator.
Evaluates the correctness of a question answering system.
This evaluator depends on `reference` answer to be provided, in addition to the
query string and response string.
It outputs a score between 1 and 5, where 1 is the worst and 5 is the best,
along with a reasoning for the score.
Passing is defined as a score greater than or equal to the given threshold.
Args:
eval_template (Optional[Union[BasePromptTemplate, str]]):
Template for the evaluation prompt.
score_threshold (float): Numerical threshold for passing the evaluation,
defaults to 4.0.
"""
def __init__(
self,
llm: Optional[LLM] = None,
eval_template: Optional[Union[BasePromptTemplate, str]] = None,
score_threshold: float = 4.0,
parser_function: Callable[
[str], Tuple[Optional[float], Optional[str]]
] = default_parser,
) -> None:
self._llm = llm or Settings.llm
self._eval_template: BasePromptTemplate
if isinstance(eval_template, str):
self._eval_template = PromptTemplate(eval_template)
else:
self._eval_template = eval_template or DEFAULT_EVAL_TEMPLATE
self._score_threshold = score_threshold
self.parser_function = parser_function
def _get_prompts(self) -> PromptDictType:
"""Get prompts."""
return {
"eval_template": self._eval_template,
}
def _update_prompts(self, prompts: PromptDictType) -> None:
"""Update prompts."""
if "eval_template" in prompts:
self._eval_template = prompts["eval_template"]
async def aevaluate(
self,
query: Optional[str] = None,
response: Optional[str] = None,
contexts: Optional[Sequence[str]] = None,
reference: Optional[str] = None,
sleep_time_in_seconds: int = 0,
**kwargs: Any,
) -> EvaluationResult:
del kwargs # Unused
del contexts # Unused
await asyncio.sleep(sleep_time_in_seconds)
if query is None or response is None:
raise ValueError("query, and response must be provided")
eval_response = await self._llm.apredict(
prompt=self._eval_template,
query=query,
generated_answer=response,
reference_answer=reference or "(NO REFERENCE ANSWER SUPPLIED)",
)
# Use the parser function
score, reasoning = self.parser_function(eval_response)
return EvaluationResult(
query=query,
response=response,
passing=score >= self._score_threshold if score is not None else None,
score=score,
feedback=reasoning,
)
|
