- Release Notes
- Before you begin
- Getting started
- Projects
- Datasets
- About datasets
- Managing datasets
- ML packages
- Pipelines
- ML Skills
- ML Logs
- Document Understanding in AI Center
- How To
- Basic Troubleshooting Guide
About datasets
A Dataset is a folder of storage containing arbitrary sub-folders and files. It allows machine learning models in your project to access new data points (either new files or folders uploaded from the application, or data from UiPath Robots at runtime). Datasets represent a local resource, meaning that they are available only within the project where they were created.
The Datasets page, accessible from the Datasets menu after selecting a project, enables you to view all the datasets within a project, along with their name, description, and creation time. You can create new datasets and then populate them with folders and with files, or you can directly upload entire folders to create a new dataset. Datasets along with their content can also be edited and deleted.
You can explore the content of a dataset as you do in a file system.