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import json
import os
from datasets import load_dataset
def process(split, output):
data = load_dataset("relbert/nell", split=split)
df = data.to_pandas()
rel_sim_data = [{
"relation_type": pred,
"positives": [list(y) for y in zip(g['head'], g['tail'])],
"negatives": []
} for pred, g in df.groupby("relation") if len(g) >= 2]
with open(output, "w") as f_writer:
f_writer.write('\n'.join([json.dumps(i) for i in rel_sim_data]))
if __name__ == '__main__':
os.makedirs("data", exist_ok=True)
for s in ['train', 'validation', 'test']:
process(split=s, output=f"data/{s}.jsonl")
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