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README.md

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+---
+viewer: false
+---
+
+# 
+
+## Overview
+- `Vision question Answer (VQA) dataset`: VQA is a new dataset containing open-ended questions about images. 
+These questions require an understanding of vision, language and commonsense knowledge to answer.
+- `Reference`: Split into small-train & small-val dataset from https://huggingface.co/datasets/Graphcore/vqa validation dataset
+
+## Dataset Structure
+
+### Data Instances
+
+A data point comprises an image and its object annotations.
+
+```
+{'question': 'Where is he looking?',
+ 'question_type': 'none of the above',
+ 'question_id': 262148000,
+ 'image_id': 'images/COCO_val2014_000000262148.jpg',
+ 'answer_type': 'other',
+ 'label': {'ids': ['at table', 'down', 'skateboard', 'table'],
+  'weights': [0.30000001192092896,
+   1.0,
+   0.30000001192092896,
+   0.30000001192092896]}}
+```
+
+### Data Fields
+
+- `question`: the question to be answered from the image
+- `question_type`: 
+- `image_id`: the path to the image the question refers to
+- `answer_type`: 
+- `label`: the annotations
+  - `ids`: 
+  - `weights`: 
+
+  
+### Data Splits
+
+- `Training dataset` (1169)
+- `Val dataset` (100)
+
+
+## Usage
+```
+from datasets import load_dataset
+dataset = load_dataset("SIS-2024-spring/coco_vqa_small_dataset")
+```