In this section, we explore Kolena's core concepts, focusing on the key features that facilitate model evaluation and testing. For a quick overview, refer to the Quickstart Guide.
A Dataset represents a structured assembly of datapoints, essential for model evaluation. Each datapoint within a dataset combines various data types, such as images or text, traditionally segmented into test samples and metadata.
A Quality Standard tracks a standardized process for how a team evaluates a model's performance on a dataset. Users may configure quality standards in Kolena Datasets by defining Test Cases and Metrics.