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README.md

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+# Dataset Card for BloomVQA
+
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+BloomVQA is a dataset based on picture stories designed for educating young children. 
+It 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 core 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/).
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Paper:** [BloomVQA: Assessing Hierarchical Multi-modal Comprehension](https://arxiv.org/abs/2312.12716)
+
+
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+Each multiple-choice sample contains 1 question and 4 free-form answers including 1 correct answer and 3 incorrect answers. Each sample is labeled with the title of picture story and the level of comprehension as defined in Bloom's Taxonomy.