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FLARE-ES · FinanceES

📄 Paper · 🌐 The Fin AI

Part of FLARE-ES — Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English (arXiv:2402.07405).

Task sentiment analysis
Original dataset FinanceES (Fin, 2023)
Evaluation metric F1, Accuracy
Source license Public
Language es

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/es-financees", split="test")
print(ds[0])

Example prompt

¿Cuál es el sentimiento de esta oración? Responde solo negativo, positivo o neutral.Renfe afronta mañana un nuevo día de paros parciales de los maquinistas

Dataset Structure

Split Rows
test 6,359
Field Description
query Full instruction prompt given to the model
answer Gold answer / label text
text Raw input text (without instruction)
choices Label space
gold Index of the gold label in choices

License

The paper lists the original data as publicly available without a specific license (FLARE-ES paper, Tables 1-2); refer to the original source for its terms.

Citation

Please cite FLARE-ES and the original dataset (FinanceES (Fin, 2023)):

@misc{zhang2024dolaresdollarsunravelingbilingual,
      title={D\'olares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English},
      author={Xiao Zhang and Ruoyu Xiang and Chenhan Yuan and Duanyu Feng and Weiguang Han and Alejandro Lopez-Lira and Xiao-Yang Liu and Sophia Ananiadou and Min Peng and Jimin Huang and Qianqian Xie},
      year={2024},
      eprint={2402.07405},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2402.07405},
}
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