Tag
The article introduces DataGovBench, a benchmark derived from governmental open data, designed to evaluate LLMs on real-world data analysis tasks including table question answering and insight discovery. Experiments show current LLMs still underperform in complex data analytics scenarios.
AI agents often fail in production because they lack access to real business data, internal docs, and live customer context. To succeed, they need actual content, live data integration, clear handoffs, and human oversight.
A discussion on the scarcity of realistic datasets for AI agent workflows, noting that existing benchmarks fail to capture messy production scenarios like tool failures, ambiguous requests, and long conversational drift, and seeking recommendations for better datasets.