FLARE-ES · TSA (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 |
sentiment analysis |
| Original dataset |
TSA (Pan et al., 2023) |
| Evaluation metric |
F1, Accuracy |
| Source license |
Public |
| Language |
es |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/es-tsa", split="test")
print(ds[0])
Example prompt
Para el siguiente texto, por favor elija una etiqueta de clasificación de sentimiento (positivo, negativo, neutral)El sueldo medio alcanza máximos desde 2006, pero el 30% de los asalariados cobra menos de 1.336 euros
Dataset Structure
| 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 (TSA (Pan 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},
}
