Dataset Card for MGSM-eu

• Point of Contact: hitz@ehu.eus

Dataset Description

Dataset Summary

MGSM (Shi et al., 2023) is a subset of 250 grade-school math problems from the GSM8K dataset (Cobbe et al., 2021) that has been manually translated into 10 typologically diverse languages. Here, we provide professional translations to yet another language: Basque.

Languages

• eu-ES

Dataset Structure

Data Instances

MGSM-eu train examples look like this:

{
  "question": "Galdera: Rogerrek 5 teniseko pilota ditu. Teniseko piloten 2 pote gehiago erosi ditu. Pote bakoitzak 3 teniseko pilota ditu. Zenbat teniseko pilota ditu orain?",
  "answer": "Erantzuna urratsez urrats: Roger 5 pilotarekin hasi zen. 2 pote, bakoitza 3 teniseko pilotakoa, 6 teniseko pilota dira. 5 + 6 = 11. Erantzuna 11 da.",
  "answer_number": 11,
  "equation_solution": "5 + 6 = 11."
}

MGSM-eu test examples look like this:

{
  "question": "Janeten ahateek 16 arrautza erruten dituzte eguneko. Berak hiru jaten ditu goizero gosaritan, eta, lagunentzako madalenak egiteko, lau erabiltzen ditu egunero. Geratzen dena baserritarren azokan saltzen du egunero, ahate-arrautza freskoa $2-ean. Zenbat irabazten du dolarretan egunero baserritarren azokan?",
  "answer": null,
  "answer_number": 18,
  "equation_solution": null
}

Data Fields

• question (str): The question string to a grade school math problem.
• answer (str): The full solution string to the question. It contains multiple steps of reasoning with calculator annotations and the final numeric solution.
• answer_number (int): The numeric solution to the question.
• equation_solution (str): The equation solution to the question.

Data Splits

name	train	test
default	8	250

Dataset Creation

This dataset is a professional translation of the English MGSM dataset into Basque, commissioned by HiTZ (UPV/EHU) within the ILENIA project. For more information on how MGSM and GSM8K were created, please refer to their articles (see above).

Additional Information

This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215335.

Licensing Information

The GSM8K dataset is licensed under the MIT License.

Citation Information

@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",
}