Datasets:
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
90211is 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 onedata/test/metadata.jsonlrow with the instruction, the pixelbbox, a referencepoint,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.