Data overview

Understand Data Space as the durable source and curation layer.

Data Space is where Unitlab keeps durable source resources independent from any one project. It supports ingestion, folders, lifecycle state, metadata, tags, grouping, filters, embeddings, similarity, duplicates, and outlier analysis.

Use this area when: you need to bring data into Unitlab, organize it, understand its distribution, or prepare an exact cohort for a dataset.

How this area fits into production

Unitlab Data Space Asset library

The Asset library separates folders from individual assets and supports list, grid, and embedding views for different operational questions.

What this area controls

Start with the right page

Decision	Production guidance
Bring in new data	Use Data upload or Cloud providers.
Organize durable resources	Use Data folders and Data assets.
Prepare a cohort	Use Data curation, metadata, tags, filters, and embeddings.
Preserve context	Use Data Groups and custom layouts.

Operating boundary

• Data lifecycle state is not project workflow state.

• A saved filter is personal navigation state, not immutable dataset membership.

• Grouping changes the unit of work; validate it before project attachment.

A production-ready handoff

The selected source cohort is processed, inspected, explainable, and ready to become a published dataset version.

Product context

Unitlab helps AI teams curate, annotate, manage, version, and prepare multimodal training data at enterprise scale.

See Unitlab’s multimodal data annotation platform for the commercial overview and Dataset Management for managed downstream data operations.

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Related Unitlab capability guides: cross-modal annotation workflows · multimodal data curation