Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Spanish
Size:
1K - 10K
License:
language: | |
- es | |
tags: | |
- biomedical | |
- clinical | |
- spanish | |
multilinguality: | |
- monolingual | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
license: | |
- cc-by-4.0 | |
pretty_name: LivingNER | |
train-eval-index: | |
- task: token-classification | |
task_id: token_classification | |
splits: | |
train_split: train | |
eval_split: test | |
metrics: | |
- type: f1 | |
name: f1 | |
# LivingNER | |
This is a third party reupload of the [LivingNER](https://temu.bsc.es/livingner/) task 1 dataset. | |
It only contains the task 1 for the Spanish language. It does not include the multilingual data nor the background data. | |
This dataset is part of a benchmark in the paper [A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks](https://doi.org/10.1093/jamia/ocae054). | |
### Citation Information | |
```bibtext | |
@article{10.1093/jamia/ocae054, | |
author = {García Subies, Guillem and Barbero Jiménez, Álvaro and Martínez Fernández, Paloma}, | |
title = {A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks}, | |
journal = {Journal of the American Medical Informatics Association}, | |
volume = {31}, | |
number = {9}, | |
pages = {2137-2146}, | |
year = {2024}, | |
month = {03}, | |
issn = {1527-974X}, | |
doi = {10.1093/jamia/ocae054}, | |
url = {https://doi.org/10.1093/jamia/ocae054}, | |
} | |
``` | |
### Citation Information of the original dataset | |
```bibtex | |
@article{amiranda2022nlp, | |
title={Mention detection, normalization \& classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources}, | |
author={Miranda-Escalada, Antonio and Farr{'e}-Maduell, Eul{`a}lia and Lima-L{'o}pez, Salvador and Estrada, Darryl and Gasc{'o}, Luis and Krallinger, Martin}, | |
journal = {Procesamiento del Lenguaje Natural}, | |
year={2022} | |
} | |
``` | |