Nanjing University team releases DSEBench, the first test collection supporting both keyword-plus-example dataset search and field-level explanations
The work formalizes Dataset Search with Examples (DSE) and its explainable extension (ExDSE), builds DSEBench as the first test collection with both dataset-level and field-level human annotations (141 test cases, 7,415 triples, plus 5,699 training cases and 122,585 triples), uses a large language model to generate large-scale training annotations, and adapts and evaluates a range of retrieval, reranking, and explanation methods to establish baselines.