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FLARE-ES · MultiFin (Spanish)

📄 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 classification
Original dataset MultiFin (Jørgensen et al., 2023)
Evaluation metric F1, Accuracy
Source license MIT License
Language es

Quick Start

from datasets import load_dataset

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

Example prompt

Lee el texto cuidadosamente y elige la etiqueta adecuada para el texto de las etiquetas de "Negocios y Gestión", "Finanzas", "Gobierno y Control", "Industria", "Impuestos y Contabilidad", "Tecnología".
Texto: Gracias - Transporte y logística
Respuesta:

Dataset Structure

Split Rows
test 230
Field Description
id Example id
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 original data is released under MIT License (FLARE-ES paper, Tables 1-2).

Citation

Please cite FLARE-ES and the original dataset (MultiFin (Jørgensen et al., 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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