GomParam-v1 / scripts /fix_duplicates.py
Nikame Agent
fix: removed all duplicate candidates across the benchmark using rigorous multi-pass review
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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()