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upload hub_repos/spl_adr_200db/README.md to hub from bigbio repo

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+
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+ ---
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+ language:
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+ - en
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+ license: cc0-1.0
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+ license_bigbio_shortname: CC0_1p0
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+ pretty_name: SPL ADR
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+ ---
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+
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+
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+ # Dataset Card for SPL ADR
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://bionlp.nlm.nih.gov/tac2017adversereactions/
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+ - **Pubmed:** False
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+ - **Public:** True
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+ - **Tasks:** Named Entity Recognition, Named Entity Disambiguation, Relation Extraction
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+
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+
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+ The United States Food and Drug Administration (FDA) partnered with the National Library
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+ of Medicine to create a pilot dataset containing standardised information about known
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+ adverse reactions for 200 FDA-approved drugs. The Structured Product Labels (SPLs),
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+ the documents FDA uses to exchange information about drugs and other products, were
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+ manually annotated for adverse reactions at the mention level to facilitate development
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+ and evaluation of text mining tools for extraction of ADRs from all SPLs. The ADRs were
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+ then normalised to the Unified Medical Language System (UMLS) and to the Medical
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+ Dictionary for Regulatory Activities (MedDRA).
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+
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+
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+
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+ ## Citation Information
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+
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+ ```
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+ @article{demner2018dataset,
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+ author = {Demner-Fushman, Dina and Shooshan, Sonya and Rodriguez, Laritza and Aronson,
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+ Alan and Lang, Francois and Rogers, Willie and Roberts, Kirk and Tonning, Joseph},
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+ title = {A dataset of 200 structured product labels annotated for adverse drug reactions},
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+ journal = {Scientific Data},
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+ volume = {5},
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+ year = {2018},
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+ month = {01},
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+ pages = {180001},
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+ url = {
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+ https://www.researchgate.net/publication/322810855_A_dataset_of_200_structured_product_labels_annotated_for_adverse_drug_reactions
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+ },
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+ doi = {10.1038/sdata.2018.1}
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+ }
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+
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+ ```