SciQA
收藏arXiv2025-09-30 收录
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该数据集是在 Scholarly-QALD-23 挑战赛中使用的基准数据集,旨在评估知识图谱问答系统的性能。该数据集包含了测试模型根据书目自然语言问题生成正确SPARQL查询能力的问题。任务领域为知识图谱问答。
This benchmark dataset was utilized in the Scholarly-QALD-23 challenge, with the purpose of evaluating the performance of knowledge graph question answering systems. This dataset comprises questions that test a model's ability to generate correct SPARQL queries based on bibliographic natural language questions. The task domain is knowledge graph question answering.



