… for retrieving datasets according to user queries. We define dataset retrieval as a specialization
of information retrieval. … In this paper, we present an approach for retrieving datasets …

… This test collection consists of dataset collections derived from … relevance judgments for
datasets retrieved by 74 search … , and (3) large topic variability in the dataset retrieval task. …

… 46 participants we focussed on data set retrieval for a specific domain, the Social Sciences.
… our data set retrieval system, this is a task such as “Find one or more relevant data sets that …

… IR solutions, evaluating dataset retrieval methods on a common benchmark is vital. In this
article, we provide an overview of the 2016 bioCADDIE Dataset Retrieval Challenge, including …

… From a dataset perspective, classification methods can be developed and evaluated
using image retrieval datasets but not vice versa. Image retrieval images should not have …

… We believe this dataset can further facilitate the research on legal case retrieval. … Also,
compared with other legal case retrieval datasets that randomly sample queries, we propose a …

… can benefit from one single dataset equally. Extensive research in var… datasets outperform
strong baselines such as BM25 as well as recently proposed self-supervised dense retrieval …

… features of biomedical dataset retrieval as a task. The resulting benchmark set has been
made publicly available to advance research in the area of biomedical dataset retrieval. …

… Therefore, it would be very beneficial, if benchmark datasets for … dataset named LETOR.
We have extracted features from two widely-used data collections in information retrieval (the …

… dataset retrieval approach, it is necessary to first gain a better understanding of different
characteristics during dataset retrieval. … on comparing dataset retrieval with document retrieval …