README.md

---
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
dataset_info:
  features:
  - name: text
    dtype: string
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': B-ENFERMEDAD
          '1': I-ENFERMEDAD
          '2': O
  splits:
  - name: train
    num_bytes: 4413026
    num_examples: 4228
  - name: validation
    num_bytes: 776702
    num_examples: 747
  - name: test
    num_bytes: 2144590
    num_examples: 2500
  download_size: 2591407
  dataset_size: 7334318
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
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",
}

```