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---
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This dataset contains two manually pre-labeled datasets:
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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.
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<a href="mailto:[email protected]">[email protected]</a>
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---
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[![Paper Page](https://img.shields.io/badge/Paper_Page-j.jfds.2023.100114-green)](https://doi.org/10.1016/j.jfds.2023.100114)
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This dataset contains two manually pre-labeled datasets:
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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.
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<a href="mailto:[email protected]">[email protected]</a>
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### BibTeX entry and citation info
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```bibtex
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@article{Pfeifer2023,
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title = {CentralBankRoBERTa: A fine-tuned large language model for central bank communications},
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journal = {The Journal of Finance and Data Science},
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volume = {9},
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pages = {100114},
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year = {2023},
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issn = {2405-9188},
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doi = {https://doi.org/10.1016/j.jfds.2023.100114},
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url = {https://www.sciencedirect.com/science/article/pii/S2405918823000302},
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author = {Moritz Pfeifer and Vincent P. Marohl},
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}
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```
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