Datasets:

TheFinAI
/

es-tsa

pretty_name: FLARE-ES · TSA (Spanish)
license: other
license_name: public-source
language:
  - es
task_categories:
  - text-classification
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
tags:
  - finance
  - benchmark
  - thefinai
  - flare-es
  - flare
dataset_info:
  features:
    - name: query
      dtype: string
    - name: answer
      dtype: string
    - name: text
      dtype: string
    - name: choices
      sequence: string
    - name: gold
      dtype: int64
  splits:
    - name: test
      num_bytes: 1316673
      num_examples: 3829
  download_size: 483832
  dataset_size: 1316673
extra_gated_heading: Request access to FLARE-ES · TSA (Spanish)
extra_gated_description: >-
  This FLARE-ES task is released by The Fin AI for research. Access is granted
  automatically after you complete this short form.
extra_gated_button_content: Agree and access
extra_gated_prompt: >-
  By accessing this dataset you agree to the license of the original source
  (Public) and to cite the FLARE-ES paper and the original dataset in any
  resulting publication.
extra_gated_fields:
  Full name: text
  Affiliation: text
  Country: country
  Intended use:
    type: select
    options:
      - Research
      - Education
      - Commercial evaluation
      - Other
  I agree to the terms above and will cite the papers: checkbox

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

Split	Rows
`test`	3,829

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},
}