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---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: NLM_LICENSE
pretty_name: MeDAL
homepage: https://github.com/BruceWen120/medal
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_DISAMBIGUATION
---
# Dataset Card for MeDAL
## Dataset Description
- **Homepage:** https://github.com/BruceWen120/medal
- **Pubmed:** True
- **Public:** True
- **Tasks:** NED
The Repository for Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL) is
a large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding
pre-training in the medical domain.
## Citation Information
```
@inproceedings{,
title = {MeDAL\: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining},
author = {Wen, Zhi and Lu, Xing Han and Reddy, Siva},
booktitle = {Proceedings of the 3rd Clinical Natural Language Processing Workshop},
month = {Nov},
year = {2020},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclweb.org/anthology/2020.clinicalnlp-1.15},
pages = {130--135},
}
```
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