upload hub_repos/n2c2_2006_smokers/README.md to hub from bigbio repo

README.md

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+
+---
+language: 
+- en
+license: other
+license_bigbio_shortname: DUA
+pretty_name: n2c2 2006 Smoking Status
+---
+
+
+# Dataset Card for n2c2 2006 Smoking Status
+
+## Dataset Description
+
+- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
+- **Pubmed:** False
+- **Public:** False
+- **Tasks:** Text Classification
+
+
+The data for the n2c2 2006 smoking challenge consisted of discharge summaries
+from Partners HealthCare, which were then de-identified, tokenized, broken into
+sentences, converted into XML format, and separated into training and test sets.
+
+Two pulmonologists annotated each record with the smoking status of patients based
+strictly on the explicitly stated smoking-related facts in the records. These
+annotations constitute the textual judgments of the annotators. The annotators
+were asked to classify patient records into five possible smoking status categories:
+a past smoker, a current smoker, a smoker, a non-smoker and an unknown. A total of
+502 de-identified medical discharge records were used for the smoking challenge.
+
+
+
+## Citation Information
+
+```
+@article{uzuner2008identifying,
+    author = {
+        Uzuner, Ozlem and
+        Goldstein, Ira and
+        Luo, Yuan and
+        Kohane, Isaac
+    },
+    title     = {Identifying Patient Smoking Status from Medical Discharge Records},
+    journal   = {Journal of the American Medical Informatics Association},
+    volume    = {15},
+    number    = {1},
+    pages     = {14-24},
+    year      = {2008},
+    month     = {01},
+    url       = {https://doi.org/10.1197/jamia.M2408},
+    doi       = {10.1136/amiajnl-2011-000784},
+    eprint    = {https://academic.oup.com/jamia/article-pdf/15/1/14/2339646/15-1-14.pdf}
+}
+
+```