FinBen-FOMC is a financial sentiment classification dataset adapted from FOMC (Shah et al., 2023a). The dataset is designed for training and evaluating large language models (LLMs) on classifying central bank policy stances as Hawkish, Dovish, or Neutral.
Supported Tasks and Leaderboards
Task: Hawkish-Dovish Classification
Evaluation Metric: F1 Score, Accuracy
Test Size: 496 instances
