"""Create fact_checker
Generated by Phi-Octopus Eden
2025-11-07 13:47:51.304391
"""

```python
from typing import List, Dict, Set


class FactChecker:
    """
    A class for checking facts against a given dataset.
    
    This fact checker aims to address limited reasoning sophistication by allowing
    users to input statements and compare them with provided data, identifying factual
    discrepancies or confirming accuracy. It is designed to handle basic logical
    structures without deep inference capabilities.

    Args:
        data: A list of dictionaries representing the available dataset.
              Each dictionary should contain key-value pairs relevant to fact checking.
    
    Methods:
        check_fact: Accepts a statement and checks if it aligns with the provided dataset.
                    Returns True if accurate, False otherwise.
    """

    def __init__(self, data: List[Dict[str, str]]):
        self.data = data

    def _statement_to_dict(self, statement: str) -> Dict[str, Set]:
        """
        Converts a statement into a dictionary of key-value pairs.

        Args:
            statement: A string representing the fact to be checked.

        Returns:
            A dictionary where keys are attributes and values are sets containing
            possible corresponding values from the statement.
        """
        key_values = {}
        for item in statement.split():
            if "=" in item:
                key, value = item.split("=")
                key_values[key.strip()] = {value.strip()}
            else:
                key_values[item] = set()
        return key_values

    def check_fact(self, fact: str) -> bool:
        """
        Checks the given fact against the provided dataset.

        Args:
            fact: A string representing the fact to be checked.

        Returns:
            True if the fact is accurate according to the dataset, False otherwise.
        """
        statement_dict = self._statement_to_dict(fact)
        for key, values in statement_dict.items():
            matching_data = [entry for entry in self.data if key in entry and any(value in entry[key] for value in values)]
            if not matching_data:
                return False
        return True


# Example usage

dataset = [
    {"color": "red", "shape": "circle"},
    {"color": "blue", "size": "large"},
    {"color": "green", "size": "small"}
]

fact_checker = FactChecker(data=dataset)

print(fact_checker.check_fact("color=red and shape=circle"))  # True
print(fact_checker.check_fact("color=blue and size=medium"))  # False
```

This example implementation includes a simple fact checking capability that can handle basic logical structures. The `check_fact` method uses the provided dataset to verify if a given statement is accurate or not.