| # Document VQA Dataset | |
| This dataset contains question-answer pairs for document visual question answering tasks. | |
| ## Dataset Structure | |
| - `image`: URL to the document image | |
| - `question`: Question in English | |
| - `answers`: Answers in Bengali | |
| - `questionId`: Unique identifier for each question | |
| - `question_types`: Type of question (extraction) | |
| - `docId`: Document identifier | |
| - `fonts`: Font information | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("nihalbaig/docvqa_syn") | |
| ``` | |
| ## Example | |
| You can view the images directly in the dataset viewer on HuggingFace. | |