24 Useful Open Datasets for Natural Language Processing

Natural language processing forms the foundation of innovation in artificial intelligence. We want machines that sound like us, understand us, and take on tasks previously only possible through human interaction. Until then, developers can build and train with these open-source NLP datasets specific to natural language processing. Wikipedia Links Data: With around 13 million documents and corresponding hyperlinks, this massive NLP dataset treats each page as an entity. Penn Treebank: The corpus was taken from the Wall Street Journal and remains one of the most popular sets for the evaluation of sequence labeling models.