Stanford Question Answering Dataset (SQuAD)

The Stanford Question Answering Dataset (SQuAD) is a collection of over 100,000 questions based on a set of Wikipedia articles. Its purpose is to train and evaluate AI models in understanding and extracting precise answers from texts. When given a passage, the AI is expected to find the exact segment that answers each question. SQuAD helps developers improve systems that can read and comprehend information, similar to how humans find relevant details in reading material. It is widely used in advancing natural language understanding in artificial intelligence research.