princeton-nlp/SWE-bench_Verified
Viewer • Updated • 500 • 172k • 409
How you find out whether an agent is any good: held-out splits, trajectory-level scoring, and leaderboards that publish their method.
Note Human-validated subset. The verification step is the interesting part — the original split scored tasks that were not solvable.
Note Contamination-resistant variant.
Note General assistant tasks with unambiguous answers — hard to game, easy to score.
Note Trajectory-level evaluation. Scoring only the final answer misses agents that were right for fabricated reasons.
Note Agent security — the failure mode that does not show up in accuracy.
Ranking of LLMs for agentic tasks
Note Tool-calling leaderboard.
Unified memory evaluation · Results expected August 12.
Note Memory-focused agent evaluation.