Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K - 10K
License:
import json | |
import re | |
def sort_pairs_by_ai_image(input_path, output_path): | |
# '..._<์ซ์1>_<์ซ์2>.jpg' ํจํด: prefix๋ ์ซ์1 ์ ๊น์ง ์ ๋ถ | |
pattern = re.compile(r"(.+)_(\d+)_(\d+)\.jpg$") | |
entries = [] | |
# 1. ์ฝ์ด์ (prefix, num1, num2, entry)๋ก ์ ์ฅ | |
with open(input_path, 'r', encoding='utf-8') as infile: | |
for line in infile: | |
entry = json.loads(line) | |
ai_img = entry.get('ai_image', '') | |
m = pattern.match(ai_img) | |
if m: | |
prefix, num1, num2 = m.groups() | |
entries.append((prefix, int(num1), int(num2), entry)) | |
else: | |
# ํจํด ์ ๋ง์ผ๋ฉด ๋งจ ๋ค๋ก | |
entries.append((ai_img, float('inf'), float('inf'), entry)) | |
# 2. (prefix, num1, num2) ์์๋ก ์ ๋ ฌ | |
entries.sort(key=lambda x: (x[0], x[1], x[2])) | |
# 3. new_pairs.jsonl์ ๊ธฐ๋ก | |
with open(output_path, 'w', encoding='utf-8') as outfile: | |
for _, _, _, entry in entries: | |
outfile.write(json.dumps(entry, ensure_ascii=False) + '\n') | |
if __name__ == "__main__": | |
sort_pairs_by_ai_image("pairs.jsonl", "new_pairs.jsonl") | |
print("โ new_pairs.jsonl ์์ฑ ์๋ฃํ์ด! ๐") |