When preparing a training dataset to fine-tune Amazon Bedrock foundation models for text-to-text tasks, which data format should be used?

For fine-tuning Amazon Bedrock foundation models for text-to-text tasks, a JSON file containing labeled examples is the correct format. This is because fine-tuning requires pairs of input prompts and their desired output responses, which JSON is well-suited to represent as structured objects. Each object typically contains a "prompt" and a "completion" field. CSV files with unlabeled examples or plain text files with unlabeled text are unsuitable as they lack the necessary input-output pairing for supervised fine-tuning. A CSV file with tabular data is also incorrect because text-to-text fine-tuning focuses on sequence generation, not tabular data analysis.