metadata
license: mit
This dataset contains two manually pre-labeled datasets:
In the audience dataset, we labeled 6,205 randomized sentences from the Fed database as speaking either about households, firms, the financial sector, the government, or the central bank itself.
In the sentiment dataset, we labeled 6,683 sentences from the Fed database, which are either labeled as being positive (1) or negative (0).
| Please cite this model as Pfeifer, M. and Marohl, V.P. (2023) "CentralBankRoBERTa: A Fine-Tuned Large Language Model for Central Bank Communications" ADD SOURCE/LINK | |
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Moritz Pfeifer Institute for Economic Policy, University of Leipzig 04109 Leipzig, Germany [email protected] |
Vincent P. Marohl Department of Mathematics, Columbia University New York NY 10027, USA [email protected] |