Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Spanish
Size:
10K - 100K
License:
license: cc-by-4.0 | |
# Dataset Card for CT-EBM-ES (Clinical Trials for Evidence-based Medicine in Spanish) | |
## 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) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** http://www.lllf.uam.es/ESP/nlpmedterm_en.html | |
- **Repository:** http://www.lllf.uam.es/ESP/nlpdata/wp2/CT-EBM-SP.zip | |
- **Paper:** Campillos-Llanos, L., Valverde-Mateos, A., Capllonch-Carrión, A., & Moreno-Sandoval, A. (2021). A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine. BMC medical informatics and decision making, 21(1), 1-19 | |
- **Point of Contact:** leonardo.campillos AT gmail.com | |
### Dataset Summary | |
The [Clinical Trials for Evidence-Based-Medicine in Spanish corpus](http://www.lllf.uam.es/ESP/nlpdata/wp2/) is a collection of 1200 texts about clinical trials studies and clinical trials announcements: | |
- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO) | |
- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos | |
If you use the CT-EBM-ES resource, please, cite as follows: | |
``` | |
@article{campillosetal-midm2021, | |
title = {A clinical trials corpus annotated with UMLS© entities to enhance the access to Evidence-Based Medicine}, | |
author = {Campillos-Llanos, Leonardo and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n, Adri{\'a}n and Moreno-Sandoval, Antonio}, | |
journal = {BMC Medical Informatics and Decision Making}, | |
volume={21}, | |
number={1}, | |
pages={1--19}, | |
year={2021}, | |
publisher={BioMed Central} | |
} | |
``` | |
### Supported Tasks | |
Medical Named Entity Recognition | |
### Languages | |
Spanish | |
## Dataset Structure | |
### Data Instances | |
- 292 173 tokens | |
- 46 699 entities of the following medical UMLS semantic groups: | |
- ANAT: 6728 entities | |
- CHEM: 9224 entities | |
- DISO: 13 067 entities | |
- PROC: 17 680 entities | |
### Data Splits | |
- Train: 175 203 tokens, 28 101 entities | |
- Development: 58 670 tokens, 9629 entities | |
- Test: 58 300 tokens, 8969 entities | |
## Dataset Creation | |
### Source Data | |
#### Initial Data Collection and Normalization | |
### Annotations | |
#### Who are the annotators? | |
- Leonardo Campillos-Llanos, Computational Linguist, Consejo Superior de Investigaciones Científicas | |
- Adrián Capllonch-Carrión, Medical Doctor, Centro de Salud Retiro, Hospital Universitario Gregorio Marañón | |
- Ana Valverde-Mateos, Medical Lexicographist, Spanish Royal Academy of Medicine | |
## Considerations for Using the Data | |
Disclosure: This dataset is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision. | |
This resource is intended for a generalist purpose, and may have bias and/or any other undesirable distortions. | |
The owner or creator of the models will in no event be liable for any results arising from the use made by third parties of this dataset. | |
Descargo de responsabilidad: Este conjunto de datos se encuentra en desarrollo y no debe ser empleada para la toma de decisiones médicas | |
La finalidad de este modelo es generalista, y puede tener sesgos y/u otro tipo de distorsiones indeseables. | |
El propietario o creador de los modelos de ningún modo será responsable de los resultados derivados del uso que las terceras partes hagan de estos datos. |