def tokenize_example(
        self,
        prompt_and_fewshot: str,
        ctxt: str,
        example: dict,
    ) -> dict[str, Any]:
        """Run text through the tokenizer and handle special cases.

        Args:
            prompt_and_fewshot (str): The collection of the prompt and fewshot examples that belongs before the example's context
            ctxt (str): The specific example's derived context
            example (Dict): The example as a dictionary.

        Returns:
            Dict: Dictionary with the tokenized data
        """
        tokenized_example = super().tokenize_example(
            prompt_and_fewshot,
            ctxt,
            example,
        )
        tokenized_example['aliases'] = list(example.get('aliases', []))
        return tokenized_example
Run text through the tokenizer and handle special cases.

        Args:
            prompt_and_fewshot (str): The collection of the prompt and fewshot examples that belongs before the example's context
            ctxt (str): The specific example's derived context
            example (Dict): The example as a dictionary.

        Returns:
            Dict: Dictionary with the tokenized data
        
llmfoundry/eval/datasets/in_context_learning_evaluation.py