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

README.md

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+
+---
+language: 
+- en
+license: cc-by-4.0
+license_bigbio_shortname: CC_BY_4p0
+pretty_name: TwADR-L
+---
+
+
+# Dataset Card for TwADR-L
+
+## Dataset Description
+
+- **Homepage:** https://zenodo.org/record/55013
+- **Pubmed:** False
+- **Public:** True
+- **Tasks:** Named Entity Recognition, Named Entity Disambiguation
+
+
+
+The TwADR-L dataset contains medical concepts written on social media (Twitter) mapped to how they are formally written in medical ontologies (SIDER 4). 
+
+
+## Citation Information
+
+```
+
+@inproceedings{limsopatham-collier-2016-normalising,
+    title = "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation",
+    author = "Limsopatham, Nut  and
+      Collier, Nigel",
+    booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = aug,
+    year = "2016",
+    address = "Berlin, Germany",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P16-1096",
+    doi = "10.18653/v1/P16-1096",
+    pages = "1014--1023",
+}
+
+```