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  ---
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- dataset_info:
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- features:
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- - name: text
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- dtype: string
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- - name: tokens
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- sequence: string
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- - name: ner_tags
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- sequence: int64
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- splits:
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- - name: train
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- num_bytes: 4413026
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- num_examples: 4228
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- - name: validation
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- num_bytes: 776702
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- num_examples: 747
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- - name: test
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- num_bytes: 2144590
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- num_examples: 2500
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- download_size: 2627268
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- dataset_size: 7334318
 
 
 
 
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  ---
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- # Dataset Card for "socialdisner"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - es
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+ tags:
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+ - biomedical
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+ - clinical
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+ - spanish
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+ multilinguality:
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+ - monolingual
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+ license:
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+ - cc-by-4.0
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+ pretty_name: SocialDisNER
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+ train-eval-index:
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+ - task: token-classification
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+ task_id: token_classification
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+ splits:
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+ train_split: train
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+ eval_split: test
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+ metrics:
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+ - type: f1
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+ name: f1
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  ---
 
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+ # SocialDisNER
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+
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+ This is a third party reupload of the [SocialDisNER](https://temu.bsc.es/socialdisner/) dataset.
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+
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+ This dataset is part of a benchmark in the paper [TODO](TODO).
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+
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+ ### Citation Information
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+ ```bibtex
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+ TODO
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+ ```
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+
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+ ### Citation Information of the original dataset
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+ ```bibtex
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+ @inproceedings{gasco-sanchez-etal-2022-socialdisner,
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+ 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",
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+ author = "Gasco S{'a}nchez, Luis and
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+ Estrada Zavala, Darryl and
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+ Farr{'e}-Maduell, Eul{\`a}lia and
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+ Lima-L{'o}pez, Salvador and
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+ Miranda-Escalada, Antonio and
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+ Krallinger, Martin",
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+ booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
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+ month = oct,
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+ year = "2022",
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+ address = "Gyeongju, Republic of Korea",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2022.smm4h-1.48",
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+ pages = "182--189",
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+ }
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+
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+ ```
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+