File size: 2,438 Bytes
fd6b32a 5f37b0e fd6b32a 2373dd0 c81008d b9e4a60 c81008d b9e4a60 c81008d 2fce622 85f1b43 c81008d ac15fc3 f50eecf c81008d 2373dd0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
---
[![Paper Page](https://img.shields.io/badge/Paper_Page-j.jfds.2023.100114-green)](https://doi.org/10.1016/j.jfds.2023.100114)
This dataset contains two manually pre-labeled datasets:
In the **economic agents dataset**, we labeled 6,205 randomized sentences from a [Fed database](https://github.com/Moritz-Pfeifer/CentralBankRoBERTa/tree/main/Data/FED) containing speeches (1948-2023) as speaking either about households, firms, the financial sector, the government, or the central bank itself.
In the **sentiment dataset**, we labeled 6,683 randomized sentences from the same database, which are either labeled as being positive (1) or negative (0).
The datasets were used to train an [agent classifier](https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-agent-classifier) and a [sentiment classifier](https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier).
<table>
<tr>
<td colspan="2" style="border-top: 1px solid #ccc; padding: 5px; text-align: left;">
Please cite this model as Pfeifer, M. and Marohl, V.P. (2023) "CentralBankRoBERTa: A Fine-Tuned Large Language Model for Central Bank Communications". <em>Journal of Finance and Data Science </em> (forthcoming) <a href="https://doi.org/10.1016/j.jfds.2023.100114">https://doi.org/10.1016/j.jfds.2023.100114</a>
</td>
</tr>
<tr>
<td style="padding: 5px;">
Moritz Pfeifer<br>
Institute for Economic Policy, University of Leipzig<br>
04109 Leipzig, Germany<br>
<a href="mailto:[email protected]">[email protected]</a>
</td>
<td style="padding: 5px;">
Vincent P. Marohl<br>
Department of Mathematics, Columbia University<br>
New York NY 10027, USA<br>
<a href="mailto:[email protected]">[email protected]</a>
</td>
</tr>
</table>
### BibTeX entry and citation info
```bibtex
@article{Pfeifer2023,
title = {CentralBankRoBERTa: A fine-tuned large language model for central bank communications},
journal = {The Journal of Finance and Data Science},
volume = {9},
pages = {100114},
year = {2023},
issn = {2405-9188},
doi = {https://doi.org/10.1016/j.jfds.2023.100114},
url = {https://www.sciencedirect.com/science/article/pii/S2405918823000302},
author = {Moritz Pfeifer and Vincent P. Marohl},
}
```
|