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README.md

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+# Dataset Card for CLARA-MeD
+
+## 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://github.com/lcampillos/CLARA-MeD](https://github.com/lcampillos/CLARA-MeD)
+- **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]([email protected])
+
+### 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](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
+
+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. 
+
+### Contributions
+
+Thanks to [@joheras](https://github.com/joheras) for formatting this dataset for Hugging Face.