DataGovBench is a new benchmark using 178 large multi-tabular government datasets showing state-of-the-art LLMs and agents achieve below 40% QA accuracy and below 50% insight scores, far from real-world data analysis demands.
In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities
DataGovBench is a new benchmark using 178 large multi-tabular government datasets showing state-of-the-art LLMs and agents achieve below 40% QA accuracy and below 50% insight scores, far from real-world data analysis demands.