Datasets:
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, orotherfor 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 eachsource_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.