Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Spanish
Size:
1K - 10K
License:
File size: 2,141 Bytes
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---
language:
- es
tags:
- biomedical
- clinical
- spanish
multilinguality:
- monolingual
task_categories:
- token-classification
task_ids:
- named-entity-recognition
license:
- cc-by-4.0
pretty_name: SocialDisNER
train-eval-index:
- task: token-classification
task_id: token_classification
splits:
train_split: train
eval_split: test
metrics:
- type: f1
name: f1
---
# SocialDisNER
This is a third party reupload of the [SocialDisNER](https://temu.bsc.es/socialdisner/) dataset.
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
@inproceedings{gasco-sanchez-etal-2022-socialdisner,
title = "The {S}ocial{D}is{NER} shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora",
author = "Gasco S{'a}nchez, Luis and
Estrada Zavala, Darryl and
Farr{'e}-Maduell, Eul{\`a}lia and
Lima-L{'o}pez, Salvador and
Miranda-Escalada, Antonio and
Krallinger, Martin",
booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.smm4h-1.48",
pages = "182--189",
}
```
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