chunked/nltk_chunking/tasks_object_detection/chunk_5.txt

Start by loading the dataset:

from datasets import load_dataset
cppe5 = load_dataset("cppe-5")
cppe5
DatasetDict({
    train: Dataset({
        features: ['image_id', 'image', 'width', 'height', 'objects'],
        num_rows: 1000
    })
    test: Dataset({
        features: ['image_id', 'image', 'width', 'height', 'objects'],
        num_rows: 29
    })
})

You'll see that this dataset already comes with a training set containing 1000 images and a test set with 29 images.