DS-Arena-Code
Data Science Arena Code benchmark for evaluating LLMs on realistic data science code generation tasks. Tests capabilities in complex data processing, analysis, and programming across popular Python libraries used in data science workflows.
DeepSeek-V2.5 from DeepSeek currently leads the DS-Arena-Code leaderboard with a score of 0.631 across 1 evaluated AI models.
What DS-Arena-Code measures
DS-Arena-Code is a text benchmark that evaluates large language models on reasoning tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.6.
Compare leaders on the best AI for reasoning leaderboards.
Publication
- Paper
- DSCodeBench: A Realistic Benchmark for Data Science Code Generation
- Authors
- Shuyin Ouyang, Dong Huang, Jingwen Guo, Zeyu Sun, and 2 others
- Published
- arXiv
- 2505.15621
Abstract
We introduce DSCodeBench, a new benchmark designed to evaluate large language models (LLMs) on complicated and realistic data science code generation tasks. DSCodeBench consists of 1,000 carefully constructed problems sourced from realistic problems from GitHub across ten widely used Python data science libraries. DSCodeBench offers a more challenging and representative testbed, more complex code solutions, more comprehensive data science libraries, clearer and better structured problem descriptions, and stronger test suites. To construct the DSCodeBench, we develop a robust pipeline that combines task scope selection, code construction, test case generation, and problem description synthesis. The process is paired with rigorous manual editing to ensure alignment and enhance the reliability of the evaluation. Experimental result shows that DSCodeBench exhibits robust scaling behavior, where larger models systematically outperform smaller ones, validating its ability to distinguish model capabilities. The best LLM we test, GPT-4o, has a pass@1 of 0.392, indicating that LLMs still have a large room to improve for realistic data science code generation tasks. We believe DSCodeBench will serve as a rigorous and trustworthy foundation for advancing LLM-based data science programming.
DeepSeek-V2.5 leads with 63.1%.
Progress Over Time
Interactive timeline showing model performance evolution on DS-Arena-Code
DS-Arena-Code Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | DeepSeek | 236B | — | — |
FAQ
Common questions about DS-Arena-Code.
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