The dataset for Title Generation comprises a collection of articles along with their corresponding titles and subjects. Each entry in the dataset includes the full text of an article, its subject category, and the title that summarizes its content. This dataset serves as a valuable resource for natural language processing tasks, particularly in the domain of text summarization and headline generation. Researchers, developers, and enthusiasts can leverage this dataset to train machine learning models for automatic title generation, headline summarization, and related applications. With a diverse range of subjects and article texts, this dataset offers ample opportunities for experimentation and innovation in the field of natural language processing.