Logprob based multiple-choice question evals (callback) #18
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…le Choice Evaluation #### Log Probability Calculation (`logprobs.py`): - Refactored the results appending logic to include the entire dataset entry along with the `messages` key. This ensures that the output dictionary contains all necessary information from the dataset, not just the `messages`. #### Multiple Choice Question Evaluation (`mc_question.py`): - Added support for custom templates and context in the `Question` class. This allows for more flexibility when preparing questions for evaluation. - Improved the log probability summation to account for all messages and blocks, ensuring that the calculation is comprehensive and accurate - Fixed the `logp_correct` value to correctly reflect the log probability of the correct answer. - Introduced default values for `choice_template`, `question_template`, and `answer_template` in the `MultipleChoiceEvalFreeform` class to streamline the creation of freeform multiple-choice evaluations. These changes enhance the functionality and reliability of the log probability calculations and multiple-choice question evaluations.
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