Yes, Phoenix supports displaying metadata for each example in the experiment view. When you upload a dataset, you can specify metadata fields, and these are preserved and accessible in the experiment results, including in the UI and when exporting as a DataFrame. The experiment view allows you to see full metadata for each example, as recent updates have added the ability to view experiment metadata in full detail (changelog, PR #3686).To include metadata, ensure your dataset upload includes a metadata column, and Phoenix will propagate this to experiments. You can access this metadata in the UI or programmatically via the .as_dataframe() method on experiment or dataset objects (docs, example). Would you like more detail on how to upload or view metadata?Sources:
- Phoenix CHANGELOG.md
- PR: add the ability to view experiment metadata in full
- Llama Index Pairwise Eval Example
馃挕聽Hint: Mention RunLLM in the thread for followups.
The motivation is like for an exmple in an experiment, if the output doesn't match the reference, i'd like to understand why by looking at more info about the example.
That metadata is the metadata associated with the experiment run, I believe.
Each example has an editable metadata field. It doesn't look like we currently have affordances to view that metadata as part of the experiment run results, though.
