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README.md
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license: mit
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---
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---
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license: mit
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---
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This dataset contains two manually pre-labeled datasets:
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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.
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In the sentiment dataset, we labeled 6,683 sentences from the Fed database, which are either labeled as being positive (1) or negative (0).
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<table>
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<tr>
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<td colspan="2" style="border-top: 1px solid #ccc; padding: 5px; text-align: center;">
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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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</td>
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</tr>
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<tr>
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<td style="padding: 5px;">
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Moritz Pfeifer<br>
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Institute for Economic Policy, University of Leipzig<br>
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04109 Leipzig, Germany<br>
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<a href="mailto:[email protected]">[email protected]</a>
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</td>
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<td style="padding: 5px;">
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Vincent P. Marohl<br>
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Department of Mathematics, Columbia University<br>
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New York NY 10027, USA<br>
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<a href="mailto:[email protected]">[email protected]</a>
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</td>
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</tr>
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</table>
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