Data curation

The selection, organization and maintenance of data for a particular purpose.

Curation includes deciding what belongs in a dataset, checking its condition and preserving useful context. More data is not automatically more useful data. Coverage, relevance, duplicates and label quality all matter, and the right choices depend on the intended training or evaluation task.

In practice

A world model team selects clips with sustained object interactions and retains the context needed to interpret them.