Data Analysis in the Wild Benchmarks LLMs on Messy Real-World Data

arXiv·medium signal

This benchmark evaluates LLMs on realistic, complex data-analysis tasks, arguing that current benchmarks are too clean to predict production behavior. It is directly useful for builders shipping LLM data-analysis or agent features who need honest capability estimates before deployment. The value is in exposing the gap between curated-benchmark scores and in-the-wild reliability.