chunked/nltk_chunking/tasks_visual_question_answering/chunk_53.txt

Let's see if it at least 
learned something from the data and take the first example from the dataset to illustrate inference:

example = dataset[0]
image = Image.open(example['image_id'])
question = example['question']
print(question)
pipe(image, question, top_k=1)
"Where is he looking?"