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---
license: cc-by-4.0
task_categories:
- multiple-choice
language:
- es
tags:
- spanish
pretty_name: teleia
size_categories:
- n<1K
configs:
- config_name: cervantes_ave
data_files:
- split: train
path: "cervantes_ave/train_teleia_cervantes_ave.csv"
- split: test
path: "cervantes_ave/test_teleia_cervantes_ave.csv"
- config_name: pce
data_files:
- split: train
path: "pce/train_teleia_pce.csv"
- split: test
path: "pce/test_teleia_pce.csv"
- config_name: siele
data_files:
- split: train
path: "siele/train_teleia_siele.csv"
- split: test
path: "siele/test_teleia_siele.csv"
---
# Spanish Language Benchmark for Artificial Intelligence Models (TELEIA)
## Authors and Affiliations
Marina Mayor-Rocher<sup>1</sup> , Nina Melero<sup>2,3</sup> , Elena Merino-Gómez<sup>4</sup> , Miguel González<sup>2</sup> , Raquel Ferrando<sup>2</sup> , Javier Conde<sup>2</sup> and Pedro Reviriego<sup>2</sup>
1. Universidad Autónoma de Madrid
2. Universidad Politécnica de Madrid
3. New York University
4. Universidad de Valladolid
## Description
The dataset contains test questions to evaluate LLMs in Spanish
* **TELEIA_Cervantes_AVE.xlsx:** test questions on vocabulary and grammatical structures, following the format of the Cervantes AVE exam. The column "question" contains a sentence with a gap that must be filled in. The columns "option_a", "option_b", "option_c", "option_d" and "correct_answer" (A,B,C or D) represent the different possibilities for the gap and the correct one.
* **TELEIA_PCE.xlsx:** test on morphology and semantics resembling the style of the PCE exam, consisting of short questions or sentences to be completed. It is composed of the following columns: "question", "option_a", "option_b", "option_c" and "correct_answer" (A, B or C).
* **TELEIA_SIELE.xlsx:** different texts with questions related to them, based on the reading comprehension task of the SIELE exam. It is composed of the following columns: "question", "option_a", "option_b", "option_c" and "correct_answer" (A, B or C).
## Citation
```
@dataset{spanish_benchmark_teleia,
author = {Mayor-Rocher, M. and
Melero, N. and
Merino-Gómez, E. and
González, M. and
Ferrando, R. and
Conde, J. and
Reviriego, P.},
title = {{Spanish Language Benchmark for Artificial Intelligence Models (TELEIA)}},
month = jan,
year = 2024,
publisher = {Zenodo},
version = {1.0},
doi = {10.5281/zenodo.12571763},
url = {https://doi.org/10.5281/zenodo.12571763}
}
```
---
license: cc-by-4.0
--- |