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GalicianBench

Paper

GalicianBench is a benchmark for evaluating language models in Galician tasks. This is, it evaluates the ability of a language model to understand and generate Galician text. GalicianBench offers a combination of pre-existing, open datasets and datasets developed exclusivelly for this benchmark. All the details of GalicianBench will be published in a paper soon.

The new evaluation datasets included in GalicianBench are:

Task Category Homepage
Belebele_gl Reading Comprehension https://huggingface.co/datasets/proxectonos/belebele_gl
GalCoLA Linguistic Acceptability https://huggingface.co/datasets/proxectonos/galcola
MGSM_ca Math https://huggingface.co/datasets/proxectonos/mgsm_gl
Parafrases_gl Paraphrasing https://huggingface.co/datasets/proxectonos/parafrases_gl
PAWS-gl Paraphrasing https://huggingface.co/datasets/proxectonos/PAWS-gl
OpenBookQA_gl Question Answering https://huggingface.co/datasets/proxectonos/openbookqa_gl
Summarization_gl Summarization https://huggingface.co/datasets/proxectonos/summarization_gl
TruthfulQA_gl Truthfulness https://huggingface.co/datasets/proxectonos/truthfulqa_gl
xnli_gl NLI https://huggingface.co/datasets/proxectonos/xnli_gl
xstorycloze_gl Commonsense Reasoning https://huggingface.co/datasets/proxectonos/xstorycloze_gl

The datasets included in GalicianBench that have been made public in previous pubications are:

Task Category Paper title Homepage
FLORES_gl Translation The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation https://huggingface.co/datasets/facebook/flores

Citation

@inproceedings{baucells-etal-2025-iberobench,
    title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages",
    author = "Baucells, Irene  and
      Aula-Blasco, Javier  and
      de-Dios-Flores, Iria  and
      Paniagua Su{\'a}rez, Silvia  and
      Perez, Naiara  and
      Salles, Anna  and
      Sotelo Docio, Susana  and
      Falc{\~a}o, J{\'u}lia  and
      Saiz, Jose Javier  and
      Sepulveda Torres, Robiert  and
      Barnes, Jeremy  and
      Gamallo, Pablo  and
      Gonzalez-Agirre, Aitor  and
      Rigau, German  and
      Villegas, Marta",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.coling-main.699/",
    pages = "10491--10519",
}

Groups and Tasks

Groups

  • galician_bench: All tasks included in GalicianBench.
  • flores_gl: All FLORES translation tasks from or to Galician.

Tasks

The following tasks evaluate tasks on GalicianBench dataset using various scoring methods.

  • belebele_glg_Latn
  • flores_gl
  • flores_gl-ca
  • flores_gl-de
  • flores_gl-en
  • flores_gl-es
  • flores_gl-eu
  • flores_gl-fr
  • flores_gl-it
  • flores_gl-pt
  • flores_ca-gl
  • flores_de-gl
  • flores_en-gl
  • flores_es-gl
  • flores_eu-gl
  • flores_fr-gl
  • flores_it-gl
  • flores_pt-gl
  • galcola
  • summarization_gl
  • parafrases_gl
  • paws_gl
  • openbookqa_gl
  • mgsm_direct_gl
  • truthfulqa_gl
  • xnli_gl
  • xstorycloze_gl

Checklist

  • Is the task an existing benchmark in the literature?
    • Have you referenced the original paper that introduced the task?
    • If yes, does the original paper provide a reference implementation?
      • Yes, original implementation contributed by author of the benchmark

If other tasks on this dataset are already supported:

  • Is the "Main" variant of this task clearly denoted?
  • Have you provided a short sentence in a README on what each new variant adds / evaluates?
  • Have you noted which, if any, published evaluation setups are matched by this variant?