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.

Correct (1)Incorrect (0)Unobserved
Scale: 1 = correct · 0 = incorrect
Subjects
- 1Llama-3-70b-chat0.7571
- 2gpt-4.1-2025-04-140.7159
- 3DeepSeek-V30.7064
- 4Llama-4-Scout0.6986
- 5gpt-4.1-mini0.6945
- 6Qwen2.5-72B-Instruct-Turbo0.6761
- 7gemini-2.0-flash0.6706
- 8gpt-4o-2024-08-060.6686
- 9FinMA-7B-full0.4653
- 10Llama-4-Maverick0.0206