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FB15k (Freebase 15K)
The FB15k dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs. It has a total of 592,213 triplets with 14,951 entities and 1,345... -
A Benchmark Suite for Federated Semantic Data Query Processing (FedBench)
A comprehensive benchmark suite for testing and analyzing the performance of federated query processing strategies on semantic data. This benchmark is flexible enough to cover a... -
Berlin SPARQL Benchmark (BSBM)
The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are implemented by a growing number of storage systems and are used within enterprise and open web settings. As... -
The Lehigh University Benchmark (LUBM)
The Lehigh University Benchmark is developed to facilitate the evaluation of Semantic Web repositories in a standard and systematic way. The benchmark is intended to evaluate... -
Waterloo SPARQL Diversity Test Suite (WatDiv) Benchmark
WatDiv is a benchmark designed to measure how an RDF data management system performs across a wide spectrum of SPARQL queries with varying structural characteristics and... -
WN18RR Benchmark
WN18RR is a link prediction dataset created from WN18, which is a subset of WordNet. WN18 consists of 18 relations and 40,943 entities. However, many text triples are obtained... -
FB15k-237 Benchmark
FB15k-237 is a link prediction dataset created from FB15k. While FB15k consists of 1,345 relations, 14,951 entities, and 592,213 triples, many triples are inverses that cause... -
Monash Time Series Forecasting Repository
All datasets contain univariate time series and they are available in a new format that we name as .tsf, pioneered by the sktime .ts format. -
KGQA-Datasets
This dataset is a collection of existing KGQA datasets in the form of the huggingface datasets library, aiming to provide an easy-to-use access to them. -
GTFS-Madrid-Bench
A benchmark to evaluate declarative KG construction engines that can be used to provide access mechanisms to (virtual) knowledge graphs. Our proposal introduces several...
