Update README.md

README.md

@@ -59,9 +59,9 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage: https://microsoft.github.io/BLURB/index.html**
-- **Paper: [Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing](https://arxiv.org/pdf/2007.15779.pdf)**
-- **Leaderboard: https://microsoft.github.io/BLURB/leaderboard.html**
+- **Homepage:** https://microsoft.github.io/BLURB/index.html
+- **Paper:** [Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing](https://arxiv.org/pdf/2007.15779.pdf)
+- **Leaderboard:** https://microsoft.github.io/BLURB/leaderboard.html
 - **Point of Contact:**
 
 ### Dataset Summary
@@ -108,33 +108,32 @@ in a sentence by giving its start and end characters.
 As before, the training set consists of a set of sentences, 
 and for each sentence a set of gene mentions 
 (GENE annotations).
-- **Homepage: ** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-ii/task-1a-gene-mention-tagging/
+- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-ii/task-1a-gene-mention-tagging/
 - **Repository:** [NER GitHub repo by @GamalC](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/raw/master/data/)
-- **Paper: ** [verview of BioCreative II gene mention recognition](https://link.springer.com/article/10.1186/gb-2008-9-s2-s2)
+- **Paper:** [verview of BioCreative II gene mention recognition](https://link.springer.com/article/10.1186/gb-2008-9-s2-s2)
 
 #### NCBI Disease
 
 The NCBI disease corpus is fully annotated at the mention 
   and concept level to serve as a research resource for the biomedical natural 
   language processing community.
-Corpus Characteristics
-----------------------
-* 793 PubMed abstracts
-* 6,892 disease mentions
-* 790 unique disease concepts
-* Medical Subject Headings (MeSH®)
-* Online Mendelian Inheritance in Man (OMIM®)
-* 91% of the mentions map to a single disease concept
-  **divided into training, developing and testing sets.
-Corpus Annotation
-* Fourteen annotators
-* Two-annotators per document (randomly paired)
-* Three annotation phases
-* Checked for corpus-wide consistency of annotations
-                  
-- **Homepage: ** https://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/
+      Corpus Characteristics
+      ----------------------
+      * 793 PubMed abstracts
+      * 6,892 disease mentions
+      * 790 unique disease concepts
+      * Medical Subject Headings (MeSH®)
+      * Online Mendelian Inheritance in Man (OMIM®)
+      * 91% of the mentions map to a single disease concept
+        **divided into training, developing and testing sets.
+      Corpus Annotation
+      * Fourteen annotators
+      * Two-annotators per document (randomly paired)
+      * Three annotation phases
+      * Checked for corpus-wide consistency of annotations                    
+- **Homepage:** https://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/
 - **Repository:** [NER GitHub repo by @GamalC](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/raw/master/data/)
-- **Paper: ** [NCBI disease corpus: a resource for disease name recognition and concept normalization](https://pubmed.ncbi.nlm.nih.gov/24393765/)
+- **Paper:** [NCBI disease corpus: a resource for disease name recognition and concept normalization](https://pubmed.ncbi.nlm.nih.gov/24393765/)
 
 #### JNLPBA
 The BioNLP / JNLPBA Shared Task 2004 involves the identification 
@@ -149,25 +148,25 @@ Sentences are separated by blank lines.
 - **Paper: ** [Introduction to the Bio-entity Recognition Task at JNLPBA](https://aclanthology.org/W04-1213)
 
 #### EBM PICO
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
-- **Leaderboard: **
+- **Paper:**
+- **Leaderboard:**
 
 #### ChemProt
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
+- **Paper:**
 
 #### DDI
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
+- **Paper:**
 
 #### GAD
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
+- **Paper:**
 
 #### BIOSSES 
 
@@ -185,25 +184,25 @@ The sentence pairs were evaluated by five different human experts that judged th
 - **Point of Contact:** [Gizem Soğancıoğlu]([email protected]) and [Arzucan Özgür]([email protected])
 
 #### HoC
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
-- **Leaderboard: **
+- **Paper:**
+- **Leaderboard:**
 - **Point of Contact:**
 
 
 #### PubMedQA
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
-- **Leaderboard: **
+- **Paper:**
+- **Leaderboard:**
 - **Point of Contact:**
 
 #### BioASQ
-- **Homepage: **
+- **Homepage:**
 - **Repository:**
-- **Paper: **
-- **Leaderboard: **
+- **Paper:**
+- **Leaderboard:**
 - **Point of Contact:**
 
 ### Supported Tasks and Leaderboards