Set Acquisition

A benchmark for modeling data markets designed for ML applications

Acquiring the appropriate datasets rather than selecting the model architectures has become  increasingly important in data-centric AI. While existing data marketplaces provide a plethora of datasets to purchase, it is often challenging for users to decide which combination of datasets to purchase given their own budget.

Task Owners

Lingjiao Chen

Bilge Acun

Carole-Jean Wu

Newsha Ardalani