CLARA-MeD/claramed3800

Dataset Card for CLARA-MeD-3800

Dataset Summary

A parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens) as a benchmark for medical text simplification. This dataset was collected in the CLARA-MeD project, with the goal of simplifying medical texts in the Spanish language and reducing the language barrier to patient's informed decision making.

Supported Tasks and Leaderboards

Medical text simplification

Languages

Spanish

Dataset Structure

Data Instances

For each instance, there is a string for the source text (professional version), and a string for the target text (simplified version).

{'SOURCE': 'adenocarcinoma ductal de páncreas'
 'TARGET': 'Cáncer de páncreas'}

Data Fields

• SOURCE: a string containing the professional version.
• TARGET: a string containing the simplified version.

Dataset Creation

Source Data

Who are the source language producers?

1. Drug leaflets and summaries of product characteristics from CIMA
2. Cancer-related information summaries from the National Cancer Institute
3. Clinical trials announcements from EudraCT

Annotations

Annotation process

Semi-automatic alignment of technical and patient versions of medical sentences. Inter-annotator agreement measured with Cohen's Kappa (average Kappa = 0.839 +- 0.076; very high agreement).

Who are the annotators?

Leonardo Campillos-Llanos Adrián Capllonch-Carriónb Ana Rosa Terroba-Reinares Ana Valverde-Mateos Sofía Zakhir-Puig

Personal and Sensitive Information

No personal and sensitive information was used.

Licensing Information

These data are aimed at research and educational purposes, and released under a Creative Commons Non-Commercial Attribution (CC-BY-NC-A) 4.0 International License.

Citation Information

Campillos Llanos, L., Terroba Reinares, A. R., Zakhir Puig, S., Valverde, A., & Capllonch-Carrión, A. (2022). Building a comparable corpus and a benchmark for Spanish medical text simplification. Procesamiento del lenguaje natural, 69, pp. 189--196.

@article{2022claramedcorpus,
  title={Building a comparable corpus and a benchmark for Spanish medical text simplification},
  author={Campillos-Llanos, Leonardo and Terroba Reinares, Ana R., and Zakhir Puig, Sofía, and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n},
  title={Procesamiento del Lenguaje Natural},
  volume={69},
  year={2022},
  pages={189--196},
  publisher={Sociedad Espa{\~n}ola para el Procesamiento del Lenguaje Natural}
}

Contributions

Thanks to Jónathan Heras from Universidad de La Rioja (@joheras) for formatting this dataset for Hugging Face.