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

README.md

@@ -0,0 +1,46 @@
+
+---
+language: 
+- en
+license: unknown
+license_bigbio_shortname: UNKNOWN
+pretty_name: PICO Annotation
+---
+
+
+# Dataset Card for PICO Annotation
+
+## Dataset Description
+
+- **Homepage:** https://github.com/Markus-Zlabinger/pico-annotation
+- **Pubmed:** True
+- **Public:** True
+- **Tasks:** Named Entity Recognition
+
+
+This dataset contains annotations for Participants, Interventions, and Outcomes (referred to as PICO task).
+For 423 sentences, annotations collected by 3 medical experts are available.
+To get the final annotations, we perform the majority voting.
+
+
+
+## Citation Information
+
+```
+@inproceedings{zlabinger-etal-2020-effective,
+    title = "Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports",
+    author = {Zlabinger, Markus  and
+      Sabou, Marta  and
+      Hofst{"a}tter, Sebastian  and
+      Hanbury, Allan},
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.findings-emnlp.274",
+    doi = "10.18653/v1/2020.findings-emnlp.274",
+    pages = "3064--3074",
+}
+
+```