Verified65% confidenceBenchmarkExact time
The SWE-bench benchmark was released in 2023 by Princeton University's NLP team, extracting 2,294 validated Issue-PR pairs from 12 real-world open-source Python projects.
3
Sources
65%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Claude Code Deep Dive: Why It's the Most Powerful AI Coding Tool
bilibili小码学IT7/2/2026
Related Claims
UnverifiedSWE-bench collected 2,294 GitHub Issues and their corresponding fix patches from 12 real Python open-source projects including Django, scikit-learn, and sympy.74% similarUnverifiedSWE-bench从12个流行的Python开源项目中提取了2,294个真实的Issue-Pull Request对71% similarPartially VerifiedThe SWE-Bench test set contains 2,294 real bug-fix tasks from 12 mainstream Python open-source projects.70% similarUnverifiedSWE-bench 的评测任务来自 12 个主流 Python 开源仓库,包括 Django、Flask、scikit-learn 等66% similar
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