Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Spanish
Size:
10K - 100K
ArXiv:
License:
Card: update repo id after rename (flare-es-instruction-tuning -> es-instruction-tuning)
d52303f verified |
Download README.md from TheFinAI/es-instruction-tuning: direct link, hf CLI and curl.
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- Download file 3.36 kB
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https://huggingface.co/datasets/TheFinAI/es-instruction-tuning/resolve/main/README.md
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metadata
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 · 🌐 The Fin AI
Part of FLARE-ES — Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English (arXiv: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
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):
@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},
}