|
--- |
|
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: data/cervantes_ave/teleia_cervantes_ave_train.jsonl |
|
- split: val |
|
path: data/cervantes_ave/teleia_cervantes_ave_val.jsonl |
|
- split: test |
|
path: data/cervantes_ave/teleia_cervantes_ave_test.jsonl |
|
- config_name: pce |
|
data_files: |
|
- split: train |
|
path: data/pce/teleia_pce_train.jsonl |
|
- split: val |
|
path: data/pce/teleia_pce_val.jsonl |
|
- split: test |
|
path: data/pce/teleia_pce_test.jsonl |
|
- config_name: siele |
|
data_files: |
|
- split: train |
|
path: data/siele/teleia_siele_train.jsonl |
|
- split: val |
|
path: data/siele/teleia_siele_val.jsonl |
|
- split: test |
|
path: data/siele/teleia_siele_test.jsonl |
|
--- |
|
|
|
# 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:** 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:** 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:** 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 |
|
--- |