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Running
on
Zero
Running
on
Zero
| 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}%') | |