A synthetic turn-level dataset that mimics the raw output returned by
run_ai_on_chapters() in per-group mode. It is intended for examples,
documentation, and testing the full workflow from raw turns to derived
metrics with compute_run_ai_metrics().
Format
A tibble with 128 rows and 11 variables:
- book
Book title.
- chapter
Chapter identifier.
- sim
Simulation index.
- identity
Simulated respondent identity.
- party
Political party grouping.
- turn_index
Conversation turn index.
- turn_type
Whether the row comes from the
baselineorpostturn.- target_group
Group being rated on that row.
- rating
Synthetic rating on a 0-100 scale.
- baseline_prompt
Stored baseline prompt preview.
- post_prompt
Stored post prompt preview.