Describe the enhancement you'd like
- Fixed issues related to Gemini batch processing to ensure stable and reliable execution during AI assessment workflows.
- Enhanced the dataset ID endpoint by adding a
limit_row query parameter, enabling dataset preview responses to return only a limited number of rows.
Why is this enhancement needed?
- The Gemini batch processing fix is required to support accurate and consistent AI assessment testing workflows.
- Previously, fetching large datasets caused the frontend browser to freeze or lag due to excessive row rendering on the client side. The newly added
limit_row functionality allows the frontend to request only a small preview set (for example, 5 rows), improving performance, reducing UI lag, and providing a smoother user experience.
Describe the enhancement you'd like
limit_rowquery parameter, enabling dataset preview responses to return only a limited number of rows.Why is this enhancement needed?
limit_rowfunctionality allows the frontend to request only a small preview set (for example, 5 rows), improving performance, reducing UI lag, and providing a smoother user experience.