README.md

---
annotations_creators: 
- found
language_creators: 
- expert-generated
language: 
- eu
license: 
- cc-by-sa-4.0
multilinguality: 
- monolingual
size_categories: 
- n<1K
source_datasets:
- extended|juletxara/mgsm
task_categories:
- text2text-generation
pretty_name: MGSM-eu
config_names:
- mgsm
language_details: eu-ES
tags:
  - math-word-problems
configs:
- config_name: mgsm
  data_files:
  - split: train
    path: mgsm_train.jsonl
  - split: test
    path: mgsm_test.jsonl
  default: true
dataset_info:
  config_name: mgsm
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: answer_number
    dtype: int32
  - name: equation_solution
    dtype: string
  splits:
  - name: train
    num_bytes: 2916
    num_examples: 8
  - name: test
    num_bytes: 70116
    num_examples: 250
  download_size: 86987
  dataset_size: 73032
---

# Dataset Card for MGSM-eu

- **Point of Contact:** [hitz@ehu.eus](mailto:hitz@ehu.eus)

## Dataset Description

### Dataset Summary

MGSM ([Shi et al., 2023](https://openreview.net/forum?id=fR3wGCk-IXp)) 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:

```json
{
  "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:

```json
{
  "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](https://proyectoilenia.es/) with reference 2022/TL22/00215335. 

### Licensing Information

The GSM8K dataset is licensed under the [MIT License](https://opensource.org/licenses/MIT).

### 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",
}
```