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Thanks for the feature request @mmabrouk. This feature has been shipped with the release |
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Problem
Currently, it's difficult to reliably compare evaluation results. While two evaluations might link to the same test set, the underlying data in that test set could have changed between runs.
For example, a user might run an evaluation, add new data to the test set, and then run a second evaluation. This leads to the incorrect assumption that the results are comparable, when in fact they were generated from two different versions of the data. This lack of versioning can lead to inaccurate conclusions and undermines the reproducibility of experiments.
Proposed Solution
Introduce a version control system for test sets.
When an evaluation is run, it should be permanently linked to a specific, immutable version of the test set. This ensures that any comparison between evaluations is valid and based on a consistent data baseline.
Desired Workflow
Evaluation AonTest Set v1.Test Set v2.Evaluation Bon the updatedTest Set v2.The system should clearly show that
Evaluation Ausedv1andEvaluation Busedv2, preventing invalid comparisons. This makes the entire workflow more systematic, transparent, and scientifically sound.Beta Was this translation helpful? Give feedback.
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