All of our free datasets are open-source, well-documented, and ready to support a variety of research, product development, and AI use cases.

In order to extract meaningful insights from data, it must be cleaned, structured, and labeled. This process is known as data annotation.

The Universal Math Exam explored whether artificial intelligence could generate valid, high-quality math questions that assess core reasoning skills.