pointerbench-pro/REPRODUCE.md

Reproducing Pointerbench-Pro

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

# 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.
• Icon-target instructions are rewritten with varied wrappers that explicitly ask for the icon itself, unless the original instruction already says "icon". This prevents nearby text labels from becoming plausible click targets.
• 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_ids 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.