---
license: cc-by-nc-4.0
dataset_info:
  features:
  - name: SOURCE
    dtype: string
  - name: TARGET
    dtype: string
  splits:
  - name: train
    num_bytes: 683732
    num_examples: 1200
  download_size: 0
  dataset_size: 683732
---

# 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<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

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}
}
```