Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Spanish
Size:
1K - 10K
License:
Commit
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README.md
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# Dataset Card for "socialdisner"
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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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# SocialDisNER
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This is a third party reupload of the [SocialDisNER](https://temu.bsc.es/socialdisner/) dataset.
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This dataset is part of a benchmark in the paper [TODO](TODO).
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### Citation Information
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```bibtex
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TODO
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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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