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  ---
 
 
 
 
 
 
 
 
 
 
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  configs:
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  - config_name: cervantes_ave
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  data_files:
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  - split: train
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- path: data/cervantes_ave/teleia_cervantes_ave_train.jsonl
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- - split: val
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- path: data/cervantes_ave/teleia_cervantes_ave_val.jsonl
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  - split: test
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- path: data/cervantes_ave/teleia_cervantes_ave_test.jsonl
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  - config_name: pce
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  data_files:
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  - split: train
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- path: data/pce/teleia_pce_train.jsonl
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- - split: val
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- path: data/pce/teleia_pce_val.jsonl
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  - split: test
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- path: data/pce/teleia_pce_test.jsonl
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  - config_name: siele
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  data_files:
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  - split: train
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- path: data/siele/teleia_siele_train.jsonl
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- - split: val
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- path: data/siele/teleia_siele_val.jsonl
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  - split: test
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- path: data/siele/teleia_siele_test.jsonl
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- license: mit
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- task_categories:
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- - question-answering
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- size_categories:
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- - n<1K
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- language:
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- - es
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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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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  configs:
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  - config_name: cervantes_ave
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  data_files:
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  - split: train
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+ path: "cervantes_ave/train_teleia_cervantes_ave.csv"
 
 
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  - split: test
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+ path: "cervantes_ave/test_teleia_cervantes_ave.csv"
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  - config_name: pce
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  data_files:
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  - split: train
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+ path: "pce/train_teleia_pce.csv"
 
 
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  - split: test
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+ path: "pce/test_teleia_pce.csv"
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  - config_name: siele
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  data_files:
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  - split: train
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+ path: "siele/train_teleia_siele.csv"
 
 
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  - split: test
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+ path: "siele/test_teleia_siele.csv"
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+ ---
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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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+
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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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+
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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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+
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+ ## Description
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+
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+ The dataset contains test questions to evaluate LLMs in Spanish
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+
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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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+
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+
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+ ## Citation
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+
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+ ```
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+ @dataset{spanish_benchmark_teleia,
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+ author = {Mayor-Rocher, M. and
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+ Melero, N. and
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+ Merino-Gómez, E. and
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+ González, M. and
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+ Ferrando, R. and
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+ Conde, J. and
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+ Reviriego, P.},
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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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  ---
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+ license: cc-by-4.0
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+ ---