<p>Alex Rogozhnikov keeps track of a few of datasets that you can use for learning to rank, check <a href="http://arogozhnikov.github.io/2015/06/26/learning-to-rank-software-datasets.html" rel="noreferrer">his blog post</a></p>

<p>You can also use the <a href="http://www.arnetminer.org/citation" rel="noreferrer">DBLP dataset</a>, which was also used in a Learning to Rank task, check this paper: <a href="https://arxiv.org/pdf/1501.05132.pdf" rel="noreferrer">https://arxiv.org/pdf/1501.05132.pdf</a></p>
Good query-document dataset for learning to rank algorithm?
<p>Recently I started working on a learning to rank algorithm which involves feature extraction as well as ranking. Famous learning to rank algorithm data-sets that I found on Microsoft research website had the datasets with query id and Features extracted from the documents. Can someone suggest me a good learning to rank Dataset which would have query-document pairs in their original form with good relevance judgment ??. </p>