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--- |
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license: cc-by-nc-4.0 |
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dataset_info: |
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features: |
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- name: SOURCE |
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dtype: string |
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- name: TARGET |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1724952 |
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num_examples: 5000 |
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download_size: 913357 |
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dataset_size: 1724952 |
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--- |
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# Dataset Card for CLARA-MeD-5000 |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Dataset Creation](#dataset-creation) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [https://clara-nlp.uned.es/home/med/](https://clara-nlp.uned.es/home/med/) |
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- **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) |
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- **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) |
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- **DOI:** [https://doi.org/10.20350/digitalCSIC/14644](https://doi.org/10.20350/digitalCSIC/14644) |
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- **Point of Contact:** [Leonardo Campillos-Llanos]([email protected]) |
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### Dataset Summary |
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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. |
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The corpus gathers 2 subsets: |
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- 3800 parallel sentences (149 862 tokens) semi-automatically aligned and revised by linguists. |
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- 1200 parallel sentences (144 019 tokens) manually simplified by linguists. |
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### Supported Tasks and Leaderboards |
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Medical text simplification |
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### Languages |
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Spanish |
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## Dataset Structure |
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### Data Instances |
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For each instance, there is a string for the source text (professional version), and a string for the target text (simplified version). |
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``` |
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{'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.' |
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'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.'} |
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``` |
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### Data Fields |
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- `SOURCE`: a string containing the professional version. |
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- `TARGET`: a string containing the simplified version. |
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## Dataset Creation |
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### Source Data |
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#### Who are the source language producers? |
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1. Drug leaflets and summaries of product characteristics from [CIMA](https://cima.aemps.es) |
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2. Cancer-related information summaries from the [National Cancer Institute](https://www.cancer.gov/) |
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3. Clinical trials announcements from [EudraCT](https://www.clinicaltrialsregister.eu/) |
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### Annotations |
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#### Annotation process |
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- 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). |
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- 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%). |
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#### Who are the annotators? |
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- 3800 sentences: <br> |
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Leonardo Campillos-Llanos<br> |
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Adrián Capllonch-Carrión<br> |
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Ana Rosa Terroba-Reinares<br> |
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Ana Valverde-Mateos<br> |
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Sofía Zakhir-Puig<br> |
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- 1200 sentences: <br> |
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Rocío Bartolomé-Rodríguez<br> |
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Leonardo Campillos-Llanos<br> |
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Ana Rosa Terroba-Reinares<br> |
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### Personal and Sensitive Information |
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No personal and sensitive information was used. |
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### Licensing Information |
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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. |
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### Citation Information |
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- 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. |
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``` |
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@article{2022claramedcorpus, |
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title={Building a comparable corpus and a benchmark for Spanish medical text simplification}, |
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author={Campillos-Llanos, Leonardo and Terroba Reinares, Ana R., and Zakhir Puig, Sofía, and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n}, |
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title={Procesamiento del Lenguaje Natural}, |
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volume={69}, |
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year={2022}, |
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pages={189--196}, |
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publisher={Sociedad Espa{\~n}ola para el Procesamiento del Lenguaje Natural} |
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} |
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``` |
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- 1200 sentences: Campillos-Llanos, L., Bartolomé-Rodríguez, R. & Terroba-Reinares, A. R. (2024) Enhancing the understanding of clinical trials with a sentence-level simplification dataset. *Procesamiento del Lenguaje Natural*, 72, pp. 31--43. |
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``` |
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@article{campillosetal2024, |
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title={Enhancing the understanding of clinical trials with a sentence-level simplification dataset}, |
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author={Campillos-Llanos, Leonardo and Bartolom{\'e}-Rodr{\'i}guez, Roc{\'i}o and Terroba Reinares, Ana R.}, |
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title={Procesamiento del Lenguaje Natural}, |
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volume={72}, |
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year={2024}, |
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pages={31--43}, |
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publisher={Sociedad Espa{\~n}ola para el Procesamiento del Lenguaje Natural} |
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} |
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``` |
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### Contributions |
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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. |
