A machine learning team plans to generate a large dataset to train a language model. Their method involves taking an existing, structured collection of input-output pairs and automatically inserting each pair into a fixed instructional phrase. For example, using a dataset of questions and answers, they could generate training examples like 'Answer the following question: [question]' paired with the corresponding '[answer]'. For which of the following tasks would this specific data generation strategy be the LEAST suitable?

A developer has a large, pre-existing dataset of input-output pairs for a specific text-based task (e.g., a list of questions and their corresponding answers). They want to use this dataset to create thousands of training examples to teach a language model how to perform this task. Arrange the following actions into the correct chronological order to achieve this efficiently.

Efficient Dataset Generation for a Custom NLP Task