Natural Questions

Natural Questions is a large-scale question-answering dataset designed to improve machine reading comprehension and natural language processing capabilities. The dataset consists of natural questions posed by real users in the Google search engine, each of which corresponds to a Wikipedia page with annotated answers and relevant sentences. Its goal is to train and evaluate models on their accuracy and robustness in handling complex and diverse natural language questions. By solving Natural Questions, researchers can advance natural language processing technology, enhance the performance of information retrieval systems, and increase the naturalness and efficiency of human-computer interaction.