PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?
Data preparation is a central and time-consuming stage in data analysis workflows. Traditionally, commercial tools have relied on graphical user interfaces (GUIs) to simplify data preparation, allowing users to define transformations through visual operators and workflows. Recent advances in large language models (LLMs) raise the possibility of a paradigm shift toward natural language (NL)-driven data preparation, in which users can specify preparation intents in NL directly. However, it remains unclear how far current LLM-based agents are from this paradigm shift in practice. Existing code generation benchmarks do not capture key characteristics of data preparation, including ambiguous u...
| Authors | Jingzhe Xu, Rui Wang, Jiannan Wang et al. |
|---|---|
| Primary category | cs.DB |
| Published | 9 May 2026 |
| Last updated at source | 9 May 2026 |
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