Dataset Workspace overview
The Dataset Workspace is where you and your team manage everything you're working with. Open it from Workspace in the left menu.
The pill at the top left is your workspace switcher. Open it to see every workspace you belong to, switch between them, Manage members, or Create workspace. You can run several — one per team, client, or product line — and each one carries its own datasets, AI projects and recipes.
Next to the switcher are the two workspace tabs, My Datasets and My AI Projects, each showing a live count. AI Recipes, the shared community library, opens from the button on the right.
My Datasets
Every dataset your workspace has bookmarked from search or added by hand, each with its own status, notes, and tags so the team can see where it stands.
My AI Projects
Shared project records: model, linked datasets, evaluation, compliance, documentation, and a project health score.
AI Recipes
A community library of end-to-end blueprints you can browse, vote on, save, clone into your workspace, and publish back.
The three work together: you bookmark datasets into My Datasets, build them into My AI Projects with evaluation and compliance tracking, and start new work by cloning a blueprint from AI Recipes.
Workspaces & your team
A workspace is a shared container for your team's research. Rather than everyone keeping a private list of bookmarks, you create a workspace and invite the people you work with into it.
- Create workspace — from the workspace switcher, set one up for a team, a client, or a product line. You can belong to several and switch between them at any time.
- Invite team members — open Manage members from the same menu to invite people and see who's in each workspace. The switcher shows the member count next to every workspace.
- Roles — each workspace shows your role on it. An Owner manages the workspace and its members; a Viewer can see the shared datasets, projects, and recipes.
- Work from a shared library — bookmarks, statuses, notes, and tags are visible to everyone in the workspace, so two people don't evaluate the same dataset twice.
- Keep projects together — AI projects belong to the workspace, not to one person, so work continues when someone is away or changes role.
What your team can track
Bookmarked datasets
Every dataset saved from search lands in the workspace library, with status (Candidate, In use, and so on), notes, and tags your team maintains together.
Cloned recipes
Use ⧉ Use this Recipe to clone a community blueprint into your workspace and adapt it — datasets, model config, and workflow come with it.