AgenticDataBench: A Comprehensive Benchmark for Data Agents
Data science aims to derive actionable insights from heterogeneous raw data, unlocking the value of the massive amounts of data generated in modern society. Automating this process is essential to reducing labor-intensive efforts for data scientists and enabling scalable data-driven applications. Recently, large language model (LLM)-based data agents have emerged as a promising solution to automate data science workflows. However, the field lacks comprehensive benchmarks to rigorously evaluate t
Record details
Published: 2 July 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (2 July 2026), “AgenticDataBench: A Comprehensive Benchmark for Data Agents,” evidence record 336, https://ethics.ai/record/336 (originally published by arXiv).
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