CLARA-MeD/claramed3800

---
license: cc-by-nc-4.0
---

# Dataset Card for CLARA-MeD-3800

## 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]([e-mail])

### 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.

```
@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}
}
```

### 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.

原始信息汇总

数据集概述

数据集名称

CLARA-MeD-3800

数据集摘要

CLARA-MeD-3800是一个包含3800对专业和非专业（简化）版本的西班牙语医学文本的平行语料库。该数据集旨在简化医学文本，减少患者理解医学信息的语言障碍。

支持的任务

医学文本简化

语言

西班牙语

数据集结构

数据实例

每个实例包含两个字段：

• SOURCE: 包含专业版本的字符串。
• TARGET: 包含简化版本的字符串。

数据字段

• SOURCE: 专业版本的医学文本。
• TARGET: 简化版本的医学文本。

数据集创建

源数据

• 来源包括药品传单、产品特性概要、癌症相关信息摘要和临床试验公告。

标注过程

• 采用半自动方式对技术版本和患者版本的医学句子进行对齐。
• 标注者间一致性通过Cohens Kappa测量，平均Kappa值为0.839。

标注者

• Leonardo Campillos-Llanos
• Adrián Capllonch-Carrión
• Ana Rosa Terroba-Reinares
• Ana Valverde-Mateos
• Sofía Zakhir-Puig

个人和敏感信息

• 数据集中不包含个人和敏感信息。

许可证信息

• 数据集遵循Creative Commons Non-Commercial Attribution (CC-BY-NC-A) 4.0国际许可证。

引用信息

@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} }