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 (<https://github.com/Arize-ai/phoenix/blob/main/CHANGELOG.md|changelog>, <https://github.com/Arize-ai/phoenix/pull/3686|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 (<https://docs.arize.com/phoenix/datasets-and-experiments/concepts-datasets|docs>, <https://github.com/Arize-ai/phoenix/blob/main/tutorials/experiments/llama-index/pairwise_eval.ipynb|example>). Would you like more detail on how to upload or view metadata?
Sources:
- <https://github.com/Arize-ai/phoenix/blob/main/CHANGELOG.md|Phoenix CHANGELOG.md>
- <https://github.com/Arize-ai/phoenix/pull/3686|PR: add the ability to view experiment metadata in full>
- <https://github.com/Arize-ai/phoenix/blob/main/tutorials/experiments/llama-index/pairwise_eval.ipynb|Llama Index Pairwise Eval Example>