# Reproducing Pointerbench-Pro

The benchmark is assembled from the `dream_click` generator's professional-app
click pools in the source repository.

```bash
# from the generator directory in the source repo:
python3 build_progui.py --n 500 --seed 90311 --out /path/to/pointerbench-pro
```

- Targets are sampled from the labeled professional-icon pool
  (`clicks_icons_pro_3k.ndjson`) and the general dreamed-GUI intent pool
  (`clicks_dreamed_gui_intent.ndjson`).
- Targets are labeled as `icon`, `text`, or `other` for analysis, but the public
  set does not force a fixed icon/text ratio.
- Candidates are balanced across applications by round-robin selection with a
  fixed seed, then shuffled. The current 500-example set contains 190 icon, 154
  text, and 156 other targets across 100 applications.
- Each application's name, slug, category, and platform come from the dreamed-GUI
  scenario indexes under `shared/data/dreamed_gui*/index.jsonl`, joined by the
  scene slug parsed from each `source_id`.

## Held-out usage

The examples are selected from existing generated pools, so they can overlap a
training set built from the same generator. The selected `source_id`s are
written to `heldout_source_ids.txt`. Exclude those IDs from training to keep the
benchmark held out.

Regenerating with the same seed reproduces the identical 500 examples. To grow
or refresh the set, change `--n` / `--seed` and bump the dataset version.