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FEINA v1.0

A financial education text simplification dataset in Spanish.

This dataset has been developed within the context of the research project entitled "Generación de un modelo de simplificación automática de textos en español mediante inteligencia artificial" at the Instituto Tecnologico de Costa Rica in collaboration with the University Pompeu Fabra. Dataset authors:

  1. M.L. Nelson Perez (Instituto Tecnologico de Costa Rica).
  2. Dr. Martin Solis (Instituto Tecnologico de Costa Rica).
  3. Dr. Saul Calderon-Ramirez (Instituto Tecnologico de Costa Rica).
  4. Dr. Horacio Saggione (University Pompeu Fabra).

This dataset comprises around 5312 text segments, simplified following a set of simplification rules depicted in https://arxiv.org/pdf/2312.09897. For more details about the building process of this dataset please read the paper entitled "A Novel Dataset for Financial Education Text Simplification in Spanish".

How to cite: @article{perez2023novel, title={A Novel Dataset for Financial Education Text Simplification in Spanish}, author={Perez-Rojas, Nelson and Calderon-Ramirez, Saul and Solis-Salazar, Martin and Romero-Sandoval, Mario and Arias-Monge, Monica and Saggion, Horacio}, journal={arXiv preprint arXiv:2312.09897}, year={2023} }

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