DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
Open accessAbstract
Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
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Cites
Zhang, K., Li, J., Li, G., Shi, X., & Jin, Z. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2024.acl-long.737 · Cited by 138 · see citing works
Flagged first, then by citations
- Authors
- Huang, Y., Luo, J., Yu, Y., Zhang, Y., Lei, F., Wei, Y., He, S., Huang, L., Liu, X., Zhao, J., & Liu, K.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of California, Davis (US)
- Microsoft Research Asia (China) (CN)
- Venue
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Published
- 2024
- Pages
- 13487-13521
- OpenAlex
- W4404782852
- Cited by
- 22
- References
- 1
- Citations by year
- 2026: 16 · 2025: 6
- FWCI
- 7.07
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference on Empirical Methods in Natural Language Processing (EMNLP) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Natural Science Foundation of China (62376270)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- code generation, large language models, benchmark, code generation evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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