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| from estimator.estimator_llm import LLMEstimator | |
| def set_function_from_iterrow(func): | |
| def wrapper(dataset): | |
| dataset['score'] = dataset.apply(func, axis=1) | |
| return dataset | |
| return wrapper | |
| def set_ranking_function(params): | |
| evaluator = LLMEstimator(params) | |
| evaluator.init_chain(params.label_schema) | |
| evaluator.mode = 'score' | |
| def wrapper(dataset): | |
| generation_dataset = dataset.copy() | |
| generation_dataset['text'] = '###User input:\n' + generation_dataset['text'] + '\n####model prediction:\n' + generation_dataset['prediction'] | |
| generation_dataset = evaluator.apply_dataframe(generation_dataset) | |
| generation_dataset.score = generation_dataset.score.astype(int) | |
| dataset.score = generation_dataset.score | |
| return dataset | |
| return wrapper | |