--- license: cc-by-nc-4.0 --- # Dataset Card for CLARA-MeD-1200 ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Dataset Creation](#dataset-creation) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://clara-nlp.uned.es/home/med/](https://clara-nlp.uned.es/home/med/) - **Repository:** [https://digital.csic.es/handle/10261/346579](https://digital.csic.es/handle/10261/346579) - **Paper:** [http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6576/3976](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6576/3976) - **DOI:** [https://doi.org/10.20350/digitalCSIC/16110](https://doi.org/10.20350/digitalCSIC/16110) - **Point of Contact:** [Leonardo Campillos-Llanos](leonardo.campillos@csic.es) ### 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](https://www.clinicaltrialsregister.eu/) ### 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} } ```