A common application of utilizing naturally occurring data involves collecting question-and-answer pairs from public websites to fine-tune Large Language Models for open-domain question-answering tasks. Because there are so many different types of questions that it is impossible for a small group of people to independently think of them all, many QA benchmarks are constructed using this method. Sourcing data directly from these websites ensures that the fine-tuning dataset reaches an acceptable level in terms of both quantity and quality.