Source code for camel.datasets.models

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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
from typing import Any, Dict, Optional

from pydantic import BaseModel, Field


[docs] class DataPoint(BaseModel): r"""A single data point in the dataset. Attributes: question (str): The primary question or issue to be addressed. final_answer (str): The final answer. rationale (Optional[str]): Logical reasoning or explanation behind the answer. (default: :obj:`None`) metadata Optional[Dict[str, Any]]: Additional metadata about the data point. (default: :obj:`None`) """ question: str = Field( ..., description="The primary question or issue to be addressed." ) final_answer: str = Field(..., description="The final answer.") rationale: Optional[str] = Field( default=None, description="Logical reasoning or explanation behind the answer.", ) metadata: Optional[Dict[str, Any]] = Field( default=None, description="Additional metadata about the data point." )
[docs] def to_dict(self) -> Dict[str, Any]: r"""Convert DataPoint to a dictionary. Returns: Dict[str, Any]: Dictionary representation of the DataPoint. """ return self.dict()
[docs] @classmethod def from_dict(cls, data: Dict[str, Any]) -> 'DataPoint': r"""Create a DataPoint from a dictionary. Args: data (Dict[str, Any]): Dictionary containing DataPoint fields. Returns: DataPoint: New DataPoint instance. """ return cls(**data)