--- 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-Rocher1 , Nina Melero2,3 , Elena Merino-Gómez4 , Miguel González2 , Raquel Ferrando2 , Javier Conde2 and Pedro Reviriego2 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 = {Marina-Ruiz, M. and Molinero, Nina and Martín-Gascón, Elena and Galar, Miguel and Fernández, Raquel and Camarero, Javier and Rodríguez, Pedro}, 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 ---