| 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") |
|
|
