yield t
def store(triples, full_path):
with open(full_path, 'w') as writer:
for t in triples:
s, p, o = t
t_str = s + '\t' + p + '\t' + o + '\n'
writer.write(t_str)
kg = ['WN18RR', 'FB15k-237', 'YAGO3-10']
for i in kg:
data_dir = f'KGs/{i}/'
clean_data_dir = f'KGs/{i}*/'
dataset = Dataset(data_dir=data_dir)
print(data_dir)
clean_valid_set = clean_dataset(
dataset.valid_data,
entities=dataset.get_entities(dataset.train_data),
relations=dataset.get_relations(dataset.train_data))
clean_test_set = clean_dataset(
dataset.test_data,
entities=dataset.get_entities(dataset.train_data),
relations=dataset.get_relations(dataset.train_data))
store(dataset.train_data, clean_data_dir + 'train.txt') # Train set
store(clean_valid_set, clean_data_dir + 'valid.txt') # Cleaned valid set
store(clean_test_set, clean_data_dir + 'test.txt') # Clean test set
from util.data import Dataset
kg = ['WN18RR', 'FB15k-237', 'YAGO3-10']
for i in kg:
dataset = Dataset(data_dir=f'KGs/{i}/')
# Get all entities from train set.
entities = set(dataset.get_entities(dataset.train_data))
dataset.describe_oov(dataset.test_data, entities, info=f'{i}-Test set')
dataset.describe_oov(dataset.valid_data, entities, info=f'{i}-Val set')
# Cleaned datasets
kg = ['WN18RR*', 'FB15k-237*', 'YAGO3-10*']
for i in kg:
dataset = Dataset(data_dir=f'KGs/{i}/')
# Get all entities from train set.
entities = set(dataset.get_entities(dataset.train_data))
dataset.describe_oov(dataset.test_data, entities, info=f'{i}-Test set')
dataset.describe_oov(dataset.valid_data, entities, info=f'{i}-Val set')
