arXiv:2508.17157cs.CL2025-08Proceedings of The…

用自然语言实时查询英超数据,自动生成表格和图表。

SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization

  • 将用户问题转为可执行SQL,基于实时幻象联赛数据
  • 支持1700+带答案的动态体育问答测试,准确率高
  • 适合不懂代码的球迷,轻松探索比赛数据变化

我们提出一个模块化、交互式的系统SPORTSQL,用于对动态体育数据进行自然语言查询与可视化,聚焦英格兰足球超级联赛(EPL)。该系统将用户问题转化为可在实时时间索引数据库上执行的SQL,该数据库由实时幻象英超(FPL)数据构建。系统支持表格与可视化输出,利用大语言模型(LLMs)的符号推理能力完成查询解析、模式链接和可视化选择。为评估系统性能,我们引入动态体育问答基准(DSQABENCH),包含1700多个标注有SQL程序、正确答案和数据库快照的问题。演示表明,非专家用户可通过自然对话界面无缝探索不断变化的体育统计数据。

原文摘要 · Abstract (English)

We present a modular, interactive system, SPORTSQL, for natural language querying and visualization of dynamic sports data, with a focus on the English Premier League (EPL). The system translates user questions into executable SQL over a live, temporally indexed database constructed from real-time Fantasy Premier League (FPL) data. It supports both tabular and visual outputs, leveraging the symbolic reasoning capabilities of Large Language Models (LLMs) for query parsing, schema linking, and visualization selection. To evaluate system performance, we introduce the Dynamic Sport Question Answering benchmark (DSQABENCH), comprising 1,700+ queries annotated with SQL programs, gold answers, and database snapshots. Our demo highlights how non-expert users can seamlessly explore evolving sports statistics through a natural, conversational interface.

体育分析自然语言查询实时数据LLM应用

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