SQuAD 2.0 (Stanford Question Answering Dataset) is a dataset created by researchers in 2018 at Stanford University and is considered to be one of the most widely used datasets in this domain with over 100,000 questions and answers on more than 500 Wikipedia articles. It's used in natural language processing and machine learning research for question-answering tasks. Unlike its predecessor, SQuAD 1.0, released in 2016, SQuAD 2.0 has challenging questions that require reasoning and reading comprehension skills, and it includes unanswerable questions. SQuAD 2.0 is annotated by human annotators and…