The introduction of direct dataset editing on the Hub marks a significant shift in dataset workflows for AI, eliminating the need for the traditional download, edit, and upload cycles. This new feature allows collaborative dataset curation, enabling multiple users within an organization to make commits, review changes, and enhance data quality with full versioning and traceability. Currently, editing is possible for datasets containing a single CSV file with textual columns where users have write access. The process involves inspecting the dataset for errors, toggling an edit mode to correct issues, and committing changes with descriptive messages, which are then versioned for easy traceability. The platform is expected to evolve, with future enhancements likely to include AI models that expedite and improve data curation directly in the browser.