| import json | |
| from glob import glob | |
| from random import shuffle, seed | |
| target = ['nell_relational_similarity', 'conceptnet_relational_similarity', 't_rex_relational_similarity'] | |
| for t in target: | |
| for i in glob(f"dataset/{t}/*.jsonl"): | |
| with open(i) as f: | |
| tmp = [json.loads(x) for x in f.read().split('\n') if len(x) > 0] | |
| for n, y in enumerate(tmp): | |
| answer_original = y['choice'][y['answer']] | |
| choice = y['choice'] | |
| seed(n) | |
| shuffle(choice) | |
| index = list(range(len(y['choice']))) | |
| seed(n) | |
| shuffle(index) | |
| answer = index.index(y['answer']) | |
| assert answer_original == choice[answer] | |
| y['choice'] = choice | |
| y['answer'] = answer | |
| with open(i, 'w') as f: | |
| f.write("\n".join([json.dumps(x) for x in tmp])) |