langfuse-dataset-management

To create a regression testing dataset, you curate production traces into structured test sets. You can create new datasets with descriptive names and add individual traces or batches while specifying expected scores and outputs for quality assurance.

Yes, you can batch add traces to a Langfuse dataset for experiment validation by loading traces from files. This allows you to specify expected outcomes and efficiently build structured test sets for quality assurance.

The best way to curate low-scoring production traces is to filter traces below a specific score threshold, such as 7.0, from a recent time window and add them to a named dataset. This facilitates automated regression test set creation.

Yes, Langfuse dataset management supports listing existing datasets and retrieving their items for review. This dataset inspection capability allows you to verify the contents and quality of your structured test sets.

When adding individual traces or batches from files to a Langfuse dataset, you can specify expected scores and outputs. This ensures your curated production traces have defined outcomes for accurate experiment validation and regression testing.