The MSLR-WEB10K dataset consists of 10,000 search queries over the documents from search results. The data also contains the values of 136 features and a corresponding user-labeled relevance factor on a scale of one to five with respect to each query-document pair. It is a subset of the MSLR-WEB30K dataset.
27 PAPERS • NO BENCHMARKS YET
The MQ2007 dataset consists of queries, corresponding retrieved documents and labels provided by human experts. The possible relevance labels for each document are “relevant”, “partially relevant”, and “not relevant”.
25 PAPERS • NO BENCHMARKS YET
The MQ2008 dataset is a dataset for Learning to Rank. It contains 800 queries with labelled documents.
23 PAPERS • NO BENCHMARKS YET
IMDB-WIKI-SbS is a new large-scale dataset for evaluation pairwise comparisons, building on the success of a well-known benchmark for computer vision systems IMDB-WIKI. This dataset uses the age information offered by IMDB-WIKI as ground truth while providing a balanced distribution of ages and genders of people in photos.
2 PAPERS • NO BENCHMARKS YET