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README.md

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+
+# Dataset Card for CLARA-MeD-5000
+
+## 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/)
+- **Repositories:** [https://github.com/lcampillos/CLARA-MeD](https://github.com/lcampillos/CLARA-MeD), [https://digital.csic.es/handle/10261/269887](https://digital.csic.es/handle/10261/269887)
+- **Paper:** [http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6439](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6439)
+- **DOI:** [https://doi.org/10.20350/digitalCSIC/14644](https://doi.org/10.20350/digitalCSIC/14644)
+- **Point of Contact:** [Leonardo Campillos-Llanos](leonardo.campillos@csic.es)
+
+### Dataset Summary
+
+A parallel corpus with 5000 sentence pairs of professional and laymen variants 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.
+
+The corpus gathers 2 subsets:
+
+- 3800 sentences (149 862 tokens).
+- 1200 sentences (144 019) manually simplified by linguists.
+
+### 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?
+
+1. Drug leaflets and summaries of product characteristics from [CIMA](https://cima.aemps.es)
+2. Cancer-related information summaries from the [National Cancer Institute](https://www.cancer.gov/)
+3. Clinical trials announcements from [EudraCT](https://www.clinicaltrialsregister.eu/)
+
+### Annotations
+
+#### Annotation process
+
+- 3800 sentences: 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).
+- 1200 sentences: 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?
+
+- 3800 sentences: 
+Leonardo Campillos-Llanos<br>
+Adrián Capllonch-Carrión<br>
+Ana Rosa Terroba-Reinares<br>
+Ana Valverde-Mateos<br>
+Sofía Zakhir-Puig<br>
+
+1200 sentences: 
+Rocío Bartolomé-Rodríguez<br>
+Leonardo Campillos-Llanos<br>
+Ana Rosa Terroba-Reinares<br>
+
+### 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
+
+- 3800 sentences: 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}
+}
+```
+
+- 1200 sentences:
+
+```
+@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}
+}
+```
+
+### Contributions
+
+Thanks to [Jónathan Heras from Universidad de La Rioja](http://www.unirioja.es/cu/joheras) ([@joheras](https://github.com/joheras)) for formatting this dataset for Hugging Face.