Datasets:
File size: 2,436 Bytes
696b5d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | import json
import os
import glob
import random
DATA_DIR = '/mnt/data/projects/GomParam-v1/data'
def fix_duplicates(candidates, correct_idx):
# A generic list of safe distractors across different topics just in case
# we'll try to use distractors from the same file's other candidates first
pass
def process_file(filepath):
with open(filepath, 'r', encoding='utf-8') as f:
data = json.load(f)
# collect all possible candidates in this file to use as a pool
all_cands = set()
for item in data:
if 'candidates' in item:
for c in item['candidates']:
all_cands.add(c)
all_cands = list(all_cands)
modified = False
for item in data:
if 'candidates' in item:
cands = item['candidates']
correct_idx = item.get('correct')
# If duplicates exist
if len(set(cands)) != len(cands):
new_cands = []
seen = set()
# Keep the correct answer as is, and keep its position!
# To do this safely:
for i, c in enumerate(cands):
if i == correct_idx:
new_cands.append(c)
seen.add(c)
else:
new_cands.append(None) # placeholder
for i, c in enumerate(cands):
if i != correct_idx:
if c not in seen:
new_cands[i] = c
seen.add(c)
else:
# Need a replacement
while True:
repl = random.choice(all_cands)
if repl not in seen:
new_cands[i] = repl
seen.add(repl)
break
item['candidates'] = new_cands
modified = True
print(f"Fixed {item['id']}: {cands} -> {new_cands}")
if modified:
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=2)
def main():
for file in glob.glob(os.path.join(DATA_DIR, '*.json')):
process_file(file)
if __name__ == '__main__':
main()
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