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Currently, it's possible to create a "model" dataset, and try to evaluate a "flow" with that dataset. Fundamentally, these are incompatible and will cause an error.
User goal(s)
Help choosing relevant datasets.
Requirements
At minimum, we should scope the target under test to datasets of the same type.
Within the same type (particularly flows) we should consider looking for schema compatibility as well.
Acceptance Criteria
1 When running an evaluation, only relevant/compatible datasets are available
Designs
Inlined screenshots
Notes
After choosing a flow, model datasets are still available in the drop down:
Running the evaluation shows success, but it is really a failure:
The text was updated successfully, but these errors were encountered:
Overview
Currently, it's possible to create a "model" dataset, and try to evaluate a "flow" with that dataset. Fundamentally, these are incompatible and will cause an error.
User goal(s)
Help choosing relevant datasets.
Requirements
Acceptance Criteria
Designs
Inlined screenshots
Notes
After choosing a flow, model datasets are still available in the drop down:
Running the evaluation shows success, but it is really a failure:
The text was updated successfully, but these errors were encountered: