VisualMRC

VisualMRC is a visual machine reading comprehension dataset that proposes a task: given a question and a document image, a model produces an abstractive answer.

You can find more details, analyses, and baseline results in the paper,
VisualMRC: Machine Reading Comprehension on Document Images, AAAI 2021.

Statistics:
10,197 images
30,562 QA pairs
10.53 average question tokens (tokenizing with NLTK tokenizer)
9.53 average answer tokens (tokenizing wit NLTK tokenizer)
151.46 average OCR tokens (tokenizing with NLTK tokenizer)