Datasets in Athina can be organized in 2 ways.

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Projects:

Projects are a way to organize datasets into logical groups. You can think of projects as folders in your filesystem. Projects make it easier to organize datasets, and keep them in sync with your teammates. Projects are useful for:
  • Organizing datasets into logical groups.
  • Comparing metrics of related datasets quickly.
  • Keeping datasets in sync with your teammates.
  • Automating workflows that use datasets.
You can also configure project-specific automations:
  • Automatically run an eval on a dataset when it is created. (coming soon)
  • Automatically run a Flow on a dataset when it is updated. (coming soon)
  • Automatically delete a dataset after a certain amount of time.
When do Project Automations run?
  • On Dataset Creation: When a dataset is created using the SDK, and assigned to a project, the configured automation will be triggered.
  • When a Dataset is added to a project: When a dataset is moved to a project, the automation will run.

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Tags:

Tags are a way to categorize datasets.