Supervised fine-tuning mixture for improving visual table question answering in small vision-language models — built for the MiniVLMDocEval project to lift Qwen3.5-0.8B on TableVQABench.

Why this mixture (data-driven targeting)

We measured Qwen3.5-0.8B per TableVQABench sub-domain and found the weakness is Wikipedia-style visual-table lookup, not financial tables:

sub-domain Qwen3.5-0.8B

vwtq (Wikipedia lookup) 27.8 weakest, and… See the full description on the dataset page: https://huggingface.co/datasets/savoji/minivlm-tablevqa-sft.