ampligraph.datasets.load_wn18(check_md5hash=False, add_reciprocal_rels=False)

Load the WN18 dataset


The dataset includes a large number of inverse relations that spilled to the test set, and its use in experiments has been deprecated. Use WN18RR instead.

WN18 is a subset of Wordnet. It was first presented by [BUGD+13].

The WN18 dataset is loaded from file if it exists at the AMPLIGRAPH_DATA_HOME location. If AMPLIGRAPH_DATA_HOME is not set the the default ~/ampligraph_datasets is checked.

If the dataset is not found at either location it is downloaded and placed in AMPLIGRAPH_DATA_HOME or ~/ampligraph_datasets.

The dataset is divided in three splits:

  • train: 141,442 triples
  • valid 5,000 triples
  • test 5,000 triples
Dataset Train Valid Test Entities Relations
WN18 141,442 5,000 5,000 40,943 18
  • check_md5hash (bool) – If True check the md5hash of the files. Defaults to False.
  • add_reciprocal_rels (bool) – Flag which specifies whether to add reciprocal relations. For every <s, p, o> in the dataset this creates a corresponding triple with reciprocal relation <o, p_reciprocal, s>. (default: False).

splits – The dataset splits {‘train’: train, ‘valid’: valid, ‘test’: test}. Each split is an ndarray of shape [n, 3].

Return type:



>>> from ampligraph.datasets import load_wn18
>>> X = load_wn18()
>>> X['test'][:3]
array([['06845599', '_member_of_domain_usage', '03754979'],
       ['00789448', '_verb_group', '01062739'],
       ['10217831', '_hyponym', '10682169']], dtype=object)