mlsanityData to 7 Oct 2026

A Novel Dataset for Financial Education Text Simplification in Spanish

arXiv 2312.09897 ↗First posted 15 Dec 2023cs.AIcited by 1

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Abstract (arXiv)

Text simplification, crucial in natural language processing, aims to make texts more comprehensible, particularly for specific groups like visually impaired Spanish speakers, a less-represented language in this field. In Spanish, there are few datasets that can be used to create text simplification systems. Our research has the primary objective to develop a Spanish financial text simplification dataset. We created a dataset with 5,314 complex and simplified sentence pairs using established simplification rules. We also compared our dataset with the simplifications generated from GPT-3, Tuner, and MT5, in order to evaluate the feasibility of data augmentation using these systems. In this manuscript we present the characteristics of our dataset and the findings of the comparisons with other systems. The dataset is available at Hugging face, saul1917/FEINA.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 14 of its 48 references that are in the map. First posted on arXiv 15 Dec 2023.

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14 of 48 references.

References · 14

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2 more
  1. 2021A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Ricacited by 3
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  1. 2025Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RLcited by 3