Safety

SORRY-Bench

SORRY-Bench human-judgment verdicts: per-(model, instruction, prompt-style) binary human labels in {0=refusal, 1=fulfillment}. 31 models x 450 unsafe base instructions across ~20 linguistic mutation styles. Sparse human-annotated sample over the (model x prompt x style) cube.

450items
31subjects
otherlicense
safetydomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

SORRY-Bench response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1aurora-m-biden-harris-redteamed1
  2. 2mixtral-8x7b-instruct-v0.11
  3. 3yi-6b-chat1
  4. 4qwen1.5-7b-chat1
  5. 5vicuna-13b-v1.51
  6. 6qwen1.5-32b-chat1
  7. 7vicuna-33b-v1.31
  8. 8qwen1.5-1.8b-chat1
  9. 9dolphin-2.2.1-mistral-7b0.6098
  10. 10zephyr-7b-beta0.5957
  11. 11openchat-3.5-01060.5251
  12. 12mistral-7b-instruct-v0.20.5066
  13. 13qwen1.5-4b-chat0.5
  14. 14llama-2-13b-chat0.5
  15. 15gemini-pro0.3072
  16. 16vicuna-7b-v1.50.2937
  17. 17gemma-7b-it0.2804
  18. 18gpt-4-0125-preview0.2435
  19. 19gpt-3.5-turbo-01250.2339
  20. 20gpt-4-06130.2075
  21. 21llama-2-70b-chat0.1747
  22. 22llama-2-7b-chat0.1701
  23. 23gpt-4-1106-preview0.1697
  24. 24gpt-3.5-turbo-06130.1419
  25. 25claude-3-opus-202402290.0729
  26. 26claude-3-haiku-202403070.0727
  27. 27claude-3-sonnet-202402290.0699
  28. 28claude-instant-1.20.0608
  29. 29gpt-3.5-turbo-11060.0591
  30. 30claude-2.00.0486
  31. 31claude-2.10.0406