| import json | |
| import os | |
| from itertools import chain | |
| from datasets import load_dataset | |
| os.makedirs('data', exist_ok=True) | |
| data_list = [ | |
| 'relbert/semeval2012_relational_similarity', | |
| 'relbert/nell_relational_similarity', | |
| 'relbert/t_rex_relational_similarity', | |
| 'relbert/conceptnet_relational_similarity', | |
| ] | |
| for d in data_list: | |
| if d == 'relbert/t_rex_relational_similarity': | |
| data = load_dataset(d, "filter_unified.min_entity_4_max_predicate_10") | |
| else: | |
| data = load_dataset(d) | |
| for k, v in data.items(): | |
| v = [i for i in v] | |
| for _v in v: | |
| _v['negatives'] = list(chain(*[x['positives'] for x in v if x['relation_type'] != _v['relation_type']])) + _v['negatives'] | |
| with open(f'data/{os.path.basename(d)}.{k}.jsonl', 'w') as f: | |
| f.write('\n'.join([json.dumps(x) for x in v])) | |