StatAILab/DataSciEval

DataSciEval: A Data Science Benchmark for LLMs and Agents

DataSciEval is an open benchmark and interactive leaderboard for evaluating large language models (LLMs) and agents on data science. It covers data science theory and methods as well as end-to-end, real-world data analysis.

Open the live DataSciEval benchmark and leaderboard

What DataSciEval evaluates

• —Knowledge and reasoning across data science theory.
• —Understanding and application of data science methods.
• —End-to-end performance on real-world data analysis tasks.
• —Comparative performance of large language models and agents.

Explore DataSciEval

Use the live Hugging Face Space to explore the benchmark, review published evaluation results, and compare the performance of evaluated LLMs and agents.

DataSciEval is maintained by StatAI Lab.

About this Space

This Hugging Face Space serves the DataSciEval website from index.html.

Repository structure

• —index.html: Homepage layout, styles, benchmark tables, and interactions.
• —images/: Figures and task examples used by the homepage.