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

README.md

@@ -0,0 +1,60 @@
+
+---
+language: 
+- en
+license: cc-by-4.0
+license_bigbio_shortname: CC_BY_4p0
+pretty_name: PsyTAR
+---
+
+
+# Dataset Card for PsyTAR
+
+## Dataset Description
+
+- **Homepage:** https://www.askapatient.com/research/pharmacovigilance/corpus-ades-psychiatric-medications.asp
+- **Pubmed:** False
+- **Public:** False
+- **Tasks:** Named Entity Recognition, Text Classification
+
+
+The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains 891 drugs
+reviews posted by patients on "askapatient.com", about the effectiveness and adverse
+drug events associated with Zoloft, Lexapro, Cymbalta, and Effexor XR.
+
+This dataset can be used for (multi-label) sentence classification of Adverse Drug
+Reaction (ADR), Withdrawal Symptoms (WDs), Sign/Symptoms/Illness (SSIs), Drug
+Indications (DIs), Drug Effectiveness (EF), Drug Infectiveness (INF) and Others, as well
+as for recognition of 5 different types of named entity (in the categories ADRs, WDs,
+SSIs and DIs)
+
+
+
+## Citation Information
+
+```
+@article{Zolnoori2019,
+  author    = {Maryam Zolnoori and
+               Kin Wah Fung and
+               Timothy B. Patrick and
+               Paul Fontelo and
+               Hadi Kharrazi and
+               Anthony Faiola and
+               Yi Shuan Shirley Wu and
+               Christina E. Eldredge and
+               Jake Luo and
+               Mike Conway and
+               Jiaxi Zhu and
+               Soo Kyung Park and
+               Kelly Xu and
+               Hamideh Moayyed and
+               Somaieh Goudarzvand},
+  title     = {A systematic approach for developing a corpus of patient                reported adverse drug events: A case study for {SSRI} and {SNRI} medications},
+  journal   = {Journal of Biomedical Informatics},
+  volume    = {90},
+  year      = {2019},
+  url       = {https://doi.org/10.1016/j.jbi.2018.12.005},
+  doi       = {10.1016/j.jbi.2018.12.005},
+}
+
+```