Finance

WorldCentralBanks

WorldCentralBanks: 25,000 annotated sentences from 26 central banks for Stance Detection (Hawkish/Dovish/Neutral/Irrelevant), Temporal Classification, and Uncertainty (Certainty) Estimation. This build holds per-(model, sentence) zero-shot/few-shot LLM predictions released in the upstream repo, scored as binary correctness (predicted label vs the gold annotation), with the gold annotation as correct_answer.

9,575items
10subjects
CC-BY-NC-SA-4.0license
financedomain
nlp_taskdomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

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

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

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1Llama-3-70b-chat0.7571
  2. 2gpt-4.1-2025-04-140.7159
  3. 3DeepSeek-V30.7064
  4. 4Llama-4-Scout0.6986
  5. 5gpt-4.1-mini0.6945
  6. 6Qwen2.5-72B-Instruct-Turbo0.6761
  7. 7gemini-2.0-flash0.6706
  8. 8gpt-4o-2024-08-060.6686
  9. 9FinMA-7B-full0.4653
  10. 10Llama-4-Maverick0.0206