Create README.md

BloomVQA dataset, based on picture stories designed for educating young children, aims to facilitate comprehensive evaluation and characterization of vision-language models on comprehension tasks. The dataset contains tasks reflecting 6 different levels of comprehension and underlying cognitive processes, as laid out in Bloom's Taxonomy, a classic framework widely adopted in education research. This underlying hierarchical taxonomy enables graded model evaluation, automatic data augmentation and novel metrics characterizing model consistency. The dataset contains 1200 multiple-choice samples collected via Amazon Mechanical Turk based on 20 picture stories downloaded from Creative Commons resources [Book Dash](https://bookdash.org/) and [Storyweaver](https://storyweaver.org.in/en/).

Paper: [BloomVQA: Assessing Hierarchical Multi-modal Comprehension](https://arxiv.org/abs/2312.12716)

README.md

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+---
+task_categories:
+- visual-question-answering
+language:
+- en
+size_categories:
+- 1K<n<10K
+---