license: cc-by-nc-4.0
Dataset Card for CLARA-MeD-1200
Table of Contents
Dataset Description
- Homepage: https://clara-nlp.uned.es/home/med/
- Repository: https://digital.csic.es/handle/10261/346579
- Paper: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6576/3976
- DOI: https://doi.org/10.20350/digitalCSIC/16110
- Point of Contact: Leonardo Campillos-Llanos
Dataset Summary
A parallel corpus with a subset of 1200 sentence pairs of professional and laymen variants (144 019 tokens), manually simplified by linguists, 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': 'Varones mayores de 18 años, diagnosticados de alopecia androgénica grados I-IV de Sinclair, que no estén realizando ningún tratamiento capilar en la actualidad ni lo hayan realizado en los últimos 3 meses.'
'TARGET': 'Hombres mayores de 18 años, diagnosticados de alopecia androgénica (calvicie) grados I-IV de Sinclair. Estos hombres no estarán realizando ningún tratamiento para el cabello en la actualidad ni lo habrán realizado en los últimos 3 meses.'}
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?
Clinical trials announcements from EudraCT
Annotations
Annotation process
Manual simplification technical medical sentences, both at the syntactic and lexical level. Three independent evaluators assessed the quality of the simplification by means of a 5-point Likert scale questionnaires. Human evaluators scored the simplified sentences according to grammar/fluency (average 4.8%), semantic adequacy/meaning coherence (average 4.9%) and overall simplification (average 4.3%).
Who are the annotators?
Rocío Bartolomé-Rodríguez
Leonardo Campillos-Llanos
Ana Rosa Terroba-Reinares
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., R. Bartolomé-Rodríguez & A. R. Terroba Reinares (2024). Enhancing the understanding of clinical trials with a sentence-level simplification dataset. Procesamiento del lenguaje natural, 72, pp. 31--43.
@article{campillosetal2024,
title={Enhancing the understanding of clinical trials with a sentence-level simplification dataset},
author={Campillos-Llanos, Leonardo and Bartolom{\'e}-Rodr{\'i}guez, Roc{\'i}o and Terroba Reinares, Ana R.},
title={Procesamiento del Lenguaje Natural},
volume={72},
year={2024},
pages={31--43},
publisher={Sociedad Espa{\~n}ola para el Procesamiento del Lenguaje Natural}
}