FEINA: Spanish Financial Education Texts for Simplification

FEINA v1.0 is a Spanish-language dataset created for automatic text simplification research. The dataset was developed by researchers at the Instituto Tecnologico de Costa Rica and University Pompeu Fabra. Its primary purpose is to support the development of AI models for simplifying financial education materials.

Use Cases

• Train AI models for text simplification based on the described financial education texts.
• Benchmark simplification algorithms using Spanish-language financial documents.
• Analyze linguistic complexity in financial education materials.
• Develop educational tools that adapt financial content for different reading levels.

Strengths

• Dataset is part of a formal research project at Instituto Tecnologico de Costa Rica.
• Collaboration with University Pompeu Fabra suggests academic rigor.
• Platform tags indicate a specific focus on financial education and text simplification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2024-05-10 16:53:40; freshness should be verified.

Provenance

Source

Instituto Tecnologico de Costa Rica and University Pompeu Fabra

Collection Method

Developed within a research project on automatic text simplification.

Freshness

Last updated 2024-05-10 16:53:40