"""Create fact_checker
Generated by Phi-Octopus Eden
2025-11-06 17:52:05.273012
"""

```python
from typing import List, Dict

class FactChecker:
    """
    A simple fact checking class that validates facts against a given dataset.
    
    Attributes:
        data: A list of dictionaries representing the dataset to check facts against.
              Each dictionary should have 'subject' and 'claim' keys.
              
    Methods:
        check_facts: Takes a list of claims and checks them against the provided dataset.
                     Returns a dictionary with boolean values indicating if each claim is supported by the data.
    """
    
    def __init__(self, data: List[Dict[str, str]]):
        self.data = data
    
    def check_facts(self, claims: List[str]) -> Dict[str, bool]:
        """
        Check given facts against the provided dataset.

        Args:
            claims: A list of string claims to be checked.
        
        Returns:
            A dictionary with claim as key and boolean value indicating if it is supported by the data.
        """
        fact_check_results = {}
        for claim in claims:
            for entry in self.data:
                if claim == entry['claim'] and entry['subject']:
                    fact_check_results[claim] = True
                    break
            else:
                # If loop did not find a match, set to False by default.
                fact_check_results[claim] = False

        return fact_check_results


# Example usage:
data = [
    {'subject': 'Apple', 'claim': 'is a fruit'},
    {'subject': 'Watermelon', 'claim': 'is a vegetable'}
]

checker = FactChecker(data)
claims_to_check = ['is a fruit', 'is not a vegetable', 'is sweet']

results = checker.check_facts(claims_to_check)
print(results)
```

This Python code defines a `FactChecker` class that checks claims against provided data. The example usage demonstrates how to create an instance of the class and use it to check multiple claims, printing out the results.