SUPIR / llava /eval /eval_science_qa_gpt4.py
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import argparse
import json
import os
import re
import random
from collections import defaultdict
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--base-dir', type=str)
parser.add_argument('--gpt4-result', type=str)
parser.add_argument('--our-result', type=str)
parser.add_argument('--split', type=str, default='test')
parser.add_argument('--options', type=list, default=["A", "B", "C", "D", "E"])
return parser.parse_args()
def convert_caps(results):
fakecaps = []
for result in results:
image_id = result['question_id']
caption = result['text']
fakecaps.append({"image_id": int(image_id), "caption": caption})
return fakecaps
def get_pred_idx(prediction, choices, options):
"""
Get the index (e.g. 2) from the prediction (e.g. 'C')
"""
if prediction in options[:len(choices)]:
return options.index(prediction)
else:
return random.choice(range(len(choices)))
if __name__ == "__main__":
args = get_args()
base_dir = args.base_dir
split_indices = json.load(open(os.path.join(base_dir, "pid_splits.json")))[args.split]
problems = json.load(open(os.path.join(base_dir, "problems.json")))
our_predictions = [json.loads(line) for line in open(args.our_result)]
our_predictions = {pred['question_id']: pred for pred in our_predictions}
split_problems = {idx: problems[idx] for idx in split_indices}
gpt4_predictions = json.load(open(args.gpt4_result))['outputs']
results = defaultdict(lambda: 0)
for prob_id, prob in split_problems.items():
if prob_id not in our_predictions:
continue
if prob_id not in gpt4_predictions:
continue
our_pred = our_predictions[prob_id]['text']
gpt4_pred = gpt4_predictions[prob_id]
pattern = re.compile(r'The answer is ([A-Z]).')
our_res = pattern.findall(our_pred)
if len(our_res) == 1:
our_answer = our_res[0] # 'A', 'B', ...
else:
our_answer = "FAILED"
gpt4_res = pattern.findall(gpt4_pred)
if len(gpt4_res) == 1:
gpt4_answer = gpt4_res[0] # 'A', 'B', ...
else:
gpt4_answer = "FAILED"
our_pred_idx = get_pred_idx(our_answer, prob['choices'], args.options)
gpt4_pred_idx = get_pred_idx(gpt4_answer, prob['choices'], args.options)
if gpt4_answer == 'FAILED':
results['gpt4_failed'] += 1
# continue
gpt4_pred_idx = our_pred_idx
# if our_pred_idx != prob['answer']:
# print(our_predictions[prob_id]['prompt'])
# print('-----------------')
# print(f'LECTURE: {prob["lecture"]}')
# print(f'SOLUTION: {prob["solution"]}')
# print('=====================')
else:
# continue
pass
# gpt4_pred_idx = our_pred_idx
if gpt4_pred_idx == prob['answer']:
results['correct'] += 1
else:
results['incorrect'] += 1
if gpt4_pred_idx == prob['answer'] or our_pred_idx == prob['answer']:
results['correct_upperbound'] += 1
correct = results['correct']
total = results['correct'] + results['incorrect']
print(f'Total: {total}, Correct: {correct}, Accuracy: {correct / total * 100:.2f}%')
print(f'Total: {total}, Correct (upper): {results["correct_upperbound"]}, Accuracy: {results["correct_upperbound"] / total * 100:.2f}%')
print(f'Total: {total}, GPT-4 NO-ANS (RANDOM): {results["gpt4_failed"]}, Percentage: {results["gpt4_failed"] / total * 100:.2f}%')