ASSISTment is a large open-source dataset that aims to evaluate and improve text-based question answering systems. It contains over a million question-answer pairs, covering a wide range of subject areas and question types. The dataset can be used to train and test question answering systems, and supports the development of more effective natural language processing models. It includes questions and answers from real-world sources, making it a valuable resource for researchers and developers in the field of question answering systems.