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import json
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import os
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from collections import defaultdict
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import numpy as np
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import argparse
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def parse_args():
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parser = argparse.ArgumentParser(description='ChatGPT-based QA evaluation.')
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parser.add_argument('-d', '--dir', default=None)
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parser.add_argument('-v', '--version', default=None)
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parser.add_argument('-s', '--select', nargs='*', default=None)
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parser.add_argument('-f', '--files', nargs='*', default=[])
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parser.add_argument('-i', '--ignore', nargs='*', default=[])
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return parser.parse_args()
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if __name__ == '__main__':
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args = parse_args()
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if args.ignore is not None:
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args.ignore = [int(x) for x in args.ignore]
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if len(args.files) > 0:
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review_files = args.files
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else:
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review_files = [x for x in os.listdir(args.dir) if x.endswith('.jsonl') and (x.startswith('gpt4_text') or x.startswith('reviews_') or x.startswith('review_') or 'review' in args.dir)]
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for review_file in sorted(review_files):
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config = os.path.basename(review_file).replace('gpt4_text_', '').replace('.jsonl', '')
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if args.select is not None and any(x not in config for x in args.select):
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continue
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if '0613' in config:
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version = '0613'
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else:
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version = '0314'
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if args.version is not None and args.version != version:
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continue
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scores = defaultdict(list)
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print(config)
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with open(os.path.join(args.dir, review_file) if args.dir is not None else review_file) as f:
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for review_str in f:
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review = json.loads(review_str)
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if review['question_id'] in args.ignore:
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continue
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if 'category' in review:
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scores[review['category']].append(review['tuple'])
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scores['all'].append(review['tuple'])
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else:
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if 'tuple' in review:
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scores['all'].append(review['tuple'])
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else:
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scores['all'].append(review['score'])
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for k, v in sorted(scores.items()):
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stats = np.asarray(v).mean(0).tolist()
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stats = [round(x, 3) for x in stats]
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print(k, round(stats[1]/stats[0]*100, 1), round(stats[0] * 10, 1), round(stats[1] * 10, 1))
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print('=================================')
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