AYNEC-Datasets

AYNEC datasets used for evaluating graph completion techniques. The following datasets are included:

• WN18-A, generated from WN18.
• WN11-A, generated from WN11.
• FB13-A, generated from FB13.
• FB15K-AF, generated from FB15K.
• NELL-AF, generated from NELL.
• FB15K-AR, generated from FB15K, keeping relations that cover 95% of the graph.
• NELL-AR, generated from NELL, keeping relations that cover 95% of the graph.

In all datasets, we removed relations with only one instance, used 20% of each relation in the graph for test, generated one negative for each positive in both training and testing by replacing the target of the positive with a random entity. In WN11-A and WN18-A all entities are potential candidates. In the rest of datasets, only entities that have appeared as targets of the relation are candidates.

Each zip file contains the following files about a dataset:

• train.txt - triples used for training. Each line contains the source, the relation, the target, and the label (1 for positives and -1 for negatives).
• test.txt - triples used for testing, following the same format.
• relations.txt - a list of the relations in the dataset, each with its frequency.
• entities.txt - a list of the entities in the dataset, eac with its total degree, inwards degree, and output degree.
• inverses.txt - a list of the inverses in the original graph, whether or not they were removed. Each inverse relationship is represented by a pair of relations.
• summary.html - the visual summary of the relation frequencies and entity degrees (without removed inverses).
• dataset.gexf - the entire dataset in the open graph format "gexf", which can be opened by applications such as Gephi.

These datasets are presented in the article "AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs", sent for the ESWC19 conference and currently under revision.