answers-questions-revisor

To validate Q&A data for fine-tuning datasets, you revise generated files to ensure they adhere to the required Markdown structure and quality criteria, producing a structured review report with anomalies and correction suggestions.

The best way to review Q&A pairs before model training is to audit the generated files against formatting standards, identifying anomalies and generating a structured improvement report with correction paths for the fine-tuning data.

You generate quality reports for markdown Q&A files by evaluating the question and answer pairs against review criteria, which outputs a versioned MD file documenting anomalies and improvement suggestions in a designated directory.

Yes, you can prepare fine-tuning data from existing Q&A reports by providing the target file and base title to enforce review criteria, ensuring the dataset is correctly structured and ready for fine-tuning workflows.

Reviewed Q&A fine-tuning files are saved as versioned MD files organized within the agentAI/fine-tuning/<Titulo_Base>/respostas/ directory, using standardized naming conventions for your training datasets.