DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
EMNLP 2026. Accepted.
† Equal contribution (co-first authors).
Overview
A real-world data science agent benchmark with 641 tasks across 285 datasets, incorporating multimodal perception, multi-query interactions, and multidimensional evaluation of 13 advanced LLM agents.
