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.