MSLR-WEB10K

RankingCustomIntroduced 2013-01-01

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.

Source: Dueling Bandits with Qualitative Feedback