Datasets
Curated, annotated collections of data for model training/testing.
Definitions (3)
Curated, annotated collections of data made available for model training, testing and evaluation, maintained to unified formats and quality standards and catalogued for sharing. The Concept defines these as state and partner data assets subject to metadata, quality rules and access arrangements and sets quantitative targets for cumulative dataset delivery.
Curated collections of structured or unstructured data used to train, validate or run models, for which metadata, quality controls, provenance and privacy safeguards are required to ensure reliability and lawful use in AI development and deployment.
The collection of training, reference and operational data used by an AI or algorithmic system, including provenance information and any description of data sources, which must be documented in the register entry to support governance and risk assessment.
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dataset
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