ESQAD: Educational Spanish Question-Answer Dataset

Spanish Question Answer Generation Dataset and Code

Description

This repository contains the dataset and source code developed for the article: "ESQAD: An Open Spanish Dataset for Curriculum-Aligned Question-Answer Generation in Educational Settings"

The resources include:- A Spanish QAG dataset aligned with national curricula (EVAU).- Automatically generated QAG pairs from literary and legal sources.- A pilot study subset with questions validated by teachers and students.

Dataset Structure

1. EVAU

- File: `evau/docs/EvAU_QA.csv`- Description: Manually curated questions and answers aligned with the Spanish *Evaluación para el Acceso a la Universidad (EVAU)*.- Columns: `question`, `answer`, `subject`, `difficulty`- Purpose: Benchmark for educational QAG tasks in Spanish.

2. Quijote

- File: `quijote/docs/Quijote_QA.csv`- Description: Automatically generated QAG pairs from *Don Quijote de la Mancha*.- Columns: `question`, `answer`, `chapter`, `difficulty`- Purpose: Evaluation of QAG performance on literary texts.

3. Legal FAQs

- File: `legal_faqs/docs/Legal_QA.csv`- Description: Questions and answers extracted and generated from FAQs related to Spanish laws (*Ley 39/2015* and *Ley 40/2015*).- Columns: `question`, `answer`, `law_reference`- Purpose: Testing QAG in legal and administrative contexts.

4. Exams (Pilot Study)

- File: `exams/exams_QA_validated.json`- Description: 923 automatically generated QAG pairs evaluated by teachers and students during a pilot study:- Ratings: Clarity, complexity, pedagogical value (1–3 scale).- Difficulty: Intended vs perceived difficulty levels.- Comments: Free-text feedback from users.- Purpose: Benchmark for evaluating QAG quality with human-validated data.

Citation

This dataset accompanies the article:

Badenes-Olmedo, C., Eyzaguirre-Barreda, P., Chu-Artzt, N., & Gayoso-Cabada, J. (2025).  "ESQAD: A Curriculum-Aligned Spanish Dataset for Educational Question Answering" submitted to Computer Speech & Language (Elsevier, 2025)

Please cite this resource using the article (once published), or refer to this Zenodo DOI in the meantime.

License

- Datasets: CC BY 4.0  - Source Code: MIT License

Contact

- Carlos Badenes-Olmedo: [e-mail]  - Noa Chu-Artzt: [e-mail]  - Paul Eyzaguirre-Barreda: [e-mail]- Joaquin Gayoso-Cabada: [e-mail]