Update README.md

README.md

@@ -28,13 +28,13 @@ It includes the following 4 entity types: NORMALIZABLES, NO_NORMALIZABLES, PROTE
 The PharmaCoNER corpus contains a total of 396,988 words and 1,000 clinical cases that have been randomly sampled into 3 subsets.
 The training set contains 500 clinical cases, while the development and test sets contain 250 clinical cases each.
 In terms of training examples, this translates to a total of 8130, 3788 and 3953 annotated sentences in each set.
-The original dataset was distributed in Brat format (https://brat.nlplab.org/standoff.html).
+The original dataset was distributed in [Brat](https://brat.nlplab.org/standoff.html) format.
 
 For further information, please visit [the official website](https://temu.bsc.es/pharmaconer/).
 
 ## Digital Object Identifier (DOI) and access to dataset files
 
-https://zenodo.org/record/4270158#.YTnXP0MzY0F
+https://zenodo.org/record/4270158
 
 ### Supported Tasks and Leaderboards
 
@@ -88,9 +88,9 @@ enalapril         S0004-06142006000900008-1  234_243  B-NORMALIZABLES
 
 ### Data Splits
 
-* train: 8,130 sentences
-* development: 3,788 sentences
-* test: 3,953 sentences
+* train:       8,130 sentences
+* validation:  3,788 sentences
+* test:        3,953 sentences
 
 ## Dataset Creation