proxectonos/gl_MQA_artistas_mulleres_USC

glMQAartistasmulleresUSC

Dataset Description

gl_MQA_artistas_mulleres_USC is a Galician multiple-choice question-answering dataset focused on women artists and artistic heritage. It includes questions about authors, artworks, styles, techniques, and biographical or descriptive information related to women creators.

Dataset Summary

The dataset contains 85 examples. Each example consists of a multiple-choice question, four answer options, the correct answer, and a source identifier.

Data Fields

• —id: unique numeric identifier.
• —question: multiple-choice question in Galician.
• —answers: dictionary of answer options, usually a, b, c, and d.
• —correct: correct answer, including the option label.
• —source_id: identifier of the original source entry.

Dataset Creation

The dataset was generated from descriptive and cataloguing information related to women artists and artworks. Prompts were designed to produce multiple-choice questions in Galician with one correct answer and several distractors.

The generated examples were reviewed to check the accuracy of the correct option, the plausibility of the distractors, the fidelity to the source data, and the linguistic quality of the questions and answers.

Intended Uses

This dataset can be used for:

• —Evaluation of Galician models on women artists and artistic heritage.
• —Multiple-choice QA experiments.
• —Domain-specific evaluation of cultural heritage knowledge.
• —Educational resources related to women creators.
• —Testing model performance on specialized art-related questions in Galician.

Limitations

The dataset is small and focused on a specific thematic area. It should be used as a targeted evaluation resource rather than as a comprehensive benchmark of women artists or art history.

License

This dataset was created from cultural heritage and cataloguing data made available through institutional collaboration and transfer agreements with the entities responsible for the original collections and descriptions.

The source materials were processed and transformed into a question-answering dataset through automatic generation, review, cleaning, structuring, and normalization procedures. These processes were applied to make the information reusable for language model evaluation and cultural heritage question-answering tasks, without intentionally altering the semantic content of the original source records.

Reuse of the dataset must respect the conditions established by the original data providers and the applicable agreements or permissions. The structure, format, organization of the dataset, and the generation and normalization processes applied are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), unless specific source materials require additional conditions.

This license does not imply institutional endorsement by the entities responsible for the original collections or cataloguing data.

Acknowledgements

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 Desarrollo de Modelos ALIA. Esta publicación del proyecto Desarrollo de Modelos ALIA está financiada por el Ministerio para la Transformación Digital y de la Función Pública y por el Plan de Recuperación, Transformación y Resiliencia – Financiado por la Unión Europea – NextGenerationEU.