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---
pretty_name: FLARE-ES · Spanish instruction-tuning data
license: other
license_name: public-source
language:
- es
task_categories:
- text-generation
size_categories:
- 10K<n<100K
source_datasets:
- extended
tags:
- finance
- benchmark
- thefinai
- flare-es
- flare
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 41354500
num_examples: 14851
- name: valid
num_bytes: 6718150
num_examples: 2226
download_size: 23259291
dataset_size: 48072650
extra_gated_heading: Request access to FLARE-ES · Spanish instruction-tuning data
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 · Spanish instruction-tuning data
📄 [Paper](https://arxiv.org/abs/2402.07405) · 🌐 [The Fin AI](https://thefin.ai)
> Part of **FLARE-ES** — *Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English* ([arXiv:2402.07405](https://arxiv.org/abs/2402.07405)).
Instruction-tuning conversations used to train the FinMA-ES models; prompts follow the Spanish templates in the paper (Table 3).
| | |
|---|---|
| Task | instruction tuning (training data, not an evaluation set) |
| Original dataset | FLARE-ES instruction data built from the Spanish tasks in Table 1 |
| Source license | Public |
| Language | es |
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("TheFinAI/es-instruction-tuning", split="valid")
print(ds[0])
```
## Dataset Structure
| Split | Rows |
|---|---|
| `train` | 14,851 |
| `valid` | 2,226 |
| Field | Description |
|---|---|
| `id` | Example id |
| `conversations` | Instruction-tuning dialogue turns (`from`, `value`) |
## 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 (FLARE-ES instruction data built from the Spanish tasks in Table 1):
```bibtex
@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},
}
```