Basically the same capabilities that are offered for the unstructured data - ability to register files, keep track and manage them with links and ability to query into all of their metadata and then connect it to the experiment as a query on the metadata inside different versions - basically giving you a feature store.
I am of course over simplifying as the HyperDatasets feature is an extremely powerful tool for managing unstructured data.
Hi PerplexedRaccoon19 , HyperDatasets are built mainly for unstructured data since the problem itself is more difficult, but all features can be applied also to tabular data. Is there something specific you're looking for?
No specific feature, just curious about what hyperdatasets offers for tabular data
With respect to unstructured data, do hyperdatasets work well with audio data (and associated metadata) ?
basically ExuberantBat24 you can think of hyper-datasets as a "feature-store for unstructured data"