conceptnet_relational_similarity / augment_negative.py
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import json
from glob import glob
from itertools import chain
for i in glob("dataset/*.jsonl"):
with open(i) as f:
tmp = [json.loads(o) for o in f.read().split('\n') if len(o) > 0]
for r in tmp:
r['negatives'] = r['negatives'] + list(
chain(*[o['positives'] for o in tmp if o['relation_type'] != r['relation_type']]))
with open(i, 'w') as f:
f.write('\n'.join([json.dumps(r) for r in tmp]))