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README.md
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---
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license: cc-by-4.0
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task_categories:
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- multiple-choice
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language:
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- es
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tags:
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- spanish
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pretty_name: teleia
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size_categories:
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- n<1K
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---
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# Spanish Language Benchmark for Artificial Intelligence Models (TELEIA)
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## Authors and Affiliations
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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>
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1. Universidad Autónoma de Madrid
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2. Universidad Politécnica de Madrid
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3. New York University
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4. Universidad de Valladolid
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## Description
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The dataset contains test questions to evaluate LLMs in Spanish
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* **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.
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* **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).
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* **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).
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## Citation
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```
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@dataset{spanish_benchmark_teleia,
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author = {Marina-Ruiz, M. and
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Molinero, Nina and
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Martín-Gascón, Elena and
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Galar, Miguel and
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Fernández, Raquel and
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Camarero, Javier and
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Rodríguez, Pedro},
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title = {{Spanish Language Benchmark for Artificial Intelligence Models (TELEIA)}},
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month = jan,
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year = 2024,
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publisher = {Zenodo},
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version = {1.0},
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doi = {10.5281/zenodo.12571763},
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url = {https://doi.org/10.5281/zenodo.12571763}
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}
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```
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---
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license: cc-by-4.0
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---
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