Text datasets are collections of written content used for various purposes, such as training machine learning models or conducting research. These datasets can include articles, books, social media posts, and more, providing a rich source of language data for analysis. Researchers and developers often use text datasets to improve natural language processing (NLP) applications, like chatbots and translation services. By analyzing patterns in the text, they can enhance the ability of computers to understand and generate human language, making technology more intuitive and effective.