Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
natural-language-inference
Languages:
Basque
Size:
< 1K
License:
Update README.md
Browse files
README.md
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@@ -116,4 +116,36 @@ This work is funded by the Ministerio para la Transformación Digital y de la Fu
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### Citation Information
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### Citation Information
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```
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@inproceedings{baucells-etal-2025-iberobench,
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title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages",
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author = "Baucells, Irene and
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Aula-Blasco, Javier and
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de-Dios-Flores, Iria and
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Paniagua Su{\'a}rez, Silvia and
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Perez, Naiara and
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Salles, Anna and
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Sotelo Docio, Susana and
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Falc{\~a}o, J{\'u}lia and
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Saiz, Jose Javier and
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Sepulveda Torres, Robiert and
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Barnes, Jeremy and
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Gamallo, Pablo and
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Gonzalez-Agirre, Aitor and
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Rigau, German and
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Villegas, Marta",
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editor = "Rambow, Owen and
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Wanner, Leo and
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Apidianaki, Marianna and
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Al-Khalifa, Hend and
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Eugenio, Barbara Di and
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Schockaert, Steven",
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booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
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month = jan,
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year = "2025",
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address = "Abu Dhabi, UAE",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.coling-main.699/",
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pages = "10491--10519",
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}
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```
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