Once datasets are labeled and validated, the dissemination process organizes them into a catalog enriched with metadata, making them traceable and reusable. The labeled datasets are then converted into client-specified formats, or other required structures, and securely delivered to the client. This process ensures that the datasets are ready for immediate integration into AI/ML pipelines, facilitating seamless utilization.