Mathematics

JETTS

JETTS released generator response pool: per-(generator model, query) correctness over 7 math/code/instruction-following datasets, 10 samples per query.

5,135items
8subjects
apache-2.0license
mathematicsdomain
software_engineeringdomain
reasoningdomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

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

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

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1Qwen2.5-72B-Instruct0.7108
  2. 2Qwen2.5-Math-7B-Instruct0.7084
  3. 3Qwen2.5-32B-Instruct0.6805
  4. 4Llama-3.1-70B-Instruct0.6253
  5. 5Qwen2.5-Coder-7B-Instruct0.4857
  6. 6Llama-3.1-8B-Instruct0.4736
  7. 7deepseek-math-7b-instruct0.464
  8. 8deepseek-coder-6.7b-instruct0.4257