Luo2003/DA-Code

[EMNLP2024] DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models DA-Code is a comprehensive evaluation dataset designed to assess the data analysis and code generation capabilities of LLM in agent-based data science tasks. Our papers and experiment reports have been published on Arxiv. Dataset Overview 500 complex real-world data analysis tasks across Data Wrangling (DW), Machine Learning (ML), and Exploratory Data Analysis (EDA). Tasks… See the full description on the dataset page: https://huggingface.co/datasets/Luo2003/DA-Code.