generate_real_mapping.py

from collections import defaultdict
import requests
jsons__ = requests.get(
    "https://huggingface.co/datasets/SimulaMet/Kvasir-VQA-test/resolve/main/imagen-test").json()
test_prompts = [c for qa in jsons__.values()
                for pair in qa.values() for c in pair]

jsons__
q_a_pairs = [(question, answer) for question, options in jsons__.items() for answer in options]
q_a_2_pairs = [item for item in q_a_pairs for _ in range(2)]
q_a_2_pairs


# all images in real val dataset
q_a_imgs_real = dict((lambda d: (list(map(lambda x: d[(x[0], x[1].lower())].append(x[2]), zip(val_dataset['question'], val_dataset['answer'], val_dataset['img_id']))), d)[1])(defaultdict(list)))
final_requied = {str(idx): q_a_imgs_real[tpl] for idx, tpl in enumerate(q_a_2_pairs)}

with open("real_mapping", "w") as f:
    json.dump(final_requied, f, indent=2)