Amazon patents system to organize and share data for AI models

1. A system, comprising: at least one processor; and a memory, storing program instructions that when executed by the at least one processor, cause the at least one processor to: store, by a machine learning data set management system, a plurality of data sets respectively comprising a plurality of data objects with respective labels and respective metadata describing the one or more data sets; receive, via an interface of the machine learning data set management system, a request to search the plurality of data sets according to one or more search criteria; provide, via the interface of the machine learning data set management system, one or more data sets of the plurality of data sets identified based, at least in part on: respective access rights of the plurality of data sets that allow sharing of the one or more data sets with an identity associated with the request to search the plurality of data sets; and one or more search criteria; receive, via the interface of the machine learning data set management system, a request to create a new data set to be made available for access by one or more machine learning applications, the new data set to be a subset of the one or more data sets, wherein the request specifies one or more labels used to identify one or more data objects from the plurality of data objects in the one or more data sets to create the new data set; responsive to the request: determine, by the machine learning data set management system, that the one or more data sets allow creation of the new data set based at least in part on the respective access rights and the identity: search, by the machine learning data set management system, the respective metadata describing the one or more data sets and the respective labels of the plurality of data objects included in the one or more data sets according to the specified one or more labels, wherein to search, the machine learning data set management system: compares the respective labels of the plurality of data objects to identify the one or more data objects that match at least one of the specified one or more labels to include in the new data set; create, by the machine learning data set management system, the new data set that includes the identified one or more data objects from the one or more data sets; and after creation of the new data set, make, by the machine learning data set management system, the new data set available for access by the one or more machine learning applications.