EvalCumo / MME /convert_answer_to_mme.py
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import os
import json
import argparse
from collections import defaultdict
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--experiment',
type=str,
required=True)
args = parser.parse_args()
return args
def get_gt(data_path):
GT = {}
for category in os.listdir(data_path):
category_dir = os.path.join(data_path, category)
if not os.path.isdir(category_dir):
continue
if os.path.exists(os.path.join(category_dir, 'images')):
image_path = os.path.join(category_dir, 'images')
qa_path = os.path.join(category_dir, 'questions_answers_YN')
else:
image_path = qa_path = category_dir
assert os.path.isdir(image_path), image_path
assert os.path.isdir(qa_path), qa_path
for file in os.listdir(qa_path):
if not file.endswith('.txt'):
continue
for line in open(os.path.join(qa_path, file)):
question, answer = line.strip().split('\t')
GT[(category, file, question)] = answer
return GT
if __name__ == "__main__":
args = get_args()
GT = get_gt(
data_path='MME_Benchmark_release_version'
)
experiment = args.experiment
result_dir = os.path.join('eval_tool', 'answers', experiment)
os.makedirs(result_dir, exist_ok=True)
answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
results = defaultdict(list)
for answer in answers:
category = answer['question_id'].split('/')[0]
file = answer['question_id'].split('/')[-1].split('.')[0] + '.txt'
question = answer['prompt']
results[category].append((file, answer['prompt'], answer['text']))
for category, cate_tups in results.items():
with open(os.path.join(result_dir, f'{category}.txt'), 'w') as fp:
for file, prompt, answer in cate_tups:
if 'Answer the question using a single word or phrase.' in prompt:
prompt = prompt.replace('Answer the question using a single word or phrase.', '').strip()
if 'Please answer yes or no.' not in prompt:
prompt = prompt + ' Please answer yes or no.'
if (category, file, prompt) not in GT:
prompt = prompt.replace(' Please answer yes or no.', ' Please answer yes or no.')
gt_ans = GT[category, file, prompt]
tup = file, prompt, gt_ans, answer
fp.write('\t'.join(tup) + '\n')