Verified80% confidenceFactTime unknown
SWE-Bench collected 2,294 real Issue–Pull Request pairs from 12 mainstream Python open-source projects on GitHub.
6
Sources
80%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSWE-bench由普林斯顿大学团队提出，包含2294个来自Django、Flask、Scikit-learn等12个Python开源仓库的真实GitHub Issue-Pull Request对83% similarUnverifiedSWE-Bench was proposed by the Princeton NLP team in 2023, crawling 2,294 real Issue-PR pairs from GitHub and covering 12 mainstream Python projects.81% similarUnverifiedSWE-Bench由普林斯顿大学团队发布，从GitHub上12个真实Python开源项目抽取近2300个真实Issue，2024年初顶级模型通过率仅约4%-5%，至2025年头部模型已突破60%80% similarUnverifiedSWE-Bench最初包含来自Django、Flask、Pandas、Scikit-learn等12个知名Python开源项目的2294个真实GitHub issue79% similarVerifiedSWE-bench was released in 2023 by a research team at Princeton University, collecting 2,294 real GitHub Issues and their corresponding Pull Request fixes from 12 well-known Python open-source projects.77% similar
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