A small, single-author whiteboard corpus for evaluating vision-language
models on handwritten OCR accuracy and for studying pseudotext
hallucination — the failure mode where a VLM invents plausible-but-wrong
words for ambiguous handwriting.
Every image is the same wall-mounted whiteboard, same marker, same author,
photographed with a phone. This is deliberate: the dataset exists to
measure whether a small number of human-authored ground-truth pairs can
improve… See the full description on the dataset page:
https://huggingface.co/datasets/danielrosehill/Whiteboards.