What is the primary use of a dataset in AI Center?

The primary use of a dataset in AI Center is to store machine-readable data points. In the context of AI and machine learning, datasets are essential as they provide the foundational data that algorithms utilize for training, testing, and developing models. These data points serve as inputs for various AI processes, enabling the system to learn patterns, make predictions, and generate insights from the data.

While documenting processes is important for maintaining clear communication and understanding within projects, it does not directly relate to the core function of a dataset in this context. Validating robot outputs is typically a part of quality assurance but relies on the correct usage of data rather than being a primary function of datasets. Managing automation tasks encompasses a broader set of activities related to orchestration and deployment, but again, it does not pinpoint the specific purpose of datasets.