chunked/nltk_chunking/tasks_document_question_answering/chunk_12.txt

from datasets import load_dataset
dataset = load_dataset("nielsr/docvqa_1200_examples")
dataset
DatasetDict({
    train: Dataset({
        features: ['id', 'image', 'query', 'answers', 'words', 'bounding_boxes', 'answer'],
        num_rows: 1000
    })
    test: Dataset({
        features: ['id', 'image', 'query', 'answers', 'words', 'bounding_boxes', 'answer'],
        num_rows: 200
    })
})

As you can see, the dataset is split into train and test sets already.