Galileo experiments: each dataset row becomes its own trace
When you run an experiment in Galileo, each row of your dataset is evaluated as a separate trace inside the experiment log stream; the stream is the unit of comparison, not the row. Create the project and log stream first through the UI or API, then log traces with those names. Keep the dataset small enough to read the per-row traces: a 500-row dataset produces 500 traces and the interesting failures drown in volume. Name the experiment after the change you are testing so the log stream stays comparable across runs.
Context: Official docs (docs.galileo.ai, Experiments): documents the experiment model that surprises newcomers: every dataset row becomes its own trace in the experiment log stream, and the project must exist before you log to it.Maintainer review
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