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Reproducing Pointerbench-Text

The benchmark is generated programmatically from the text-coordinate-grounding generator in the source repository.

# from the generator directory in the source repo:
python3 build_textbench.py --n 500 --seed 90211 --out /path/to/pointerbench-text
  • Seed 90211 is disjoint from the training-data seed (7), so every benchmark page is unseen during training.
  • The build renders one distinct page per example, saves it as data/test/<i>.png, and writes one data/test/metadata.jsonl row with the instruction, the pixel bbox, a reference point, answer_type, eval, and the data_type / category / surface / language / difficulty tags.
  • Target kinds follow the generator's native KIND_WEIGHTS; bbox-answer kinds are preserved instead of being filtered out.
  • Language mix is fixed by the builder: 50% English, then 10% each of German, French, Spanish, Italian, Dutch.
  • Rendering is deterministic given the seed (pure PIL), and each instruction is re-resolved by an independent verifier to confirm a single matching target, so the box coordinates are pixel-exact.

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