Update README.md

README.md

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 ### Dataset Summary
 
-This dataset was designed for the PharmaCoNER task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
-
-It is a manually classified collection of clinical case studies derived from the Spanish Clinical Case Corpus (SPACCC), an open access electronic library that gathers Spanish medical publications from SciELO (Scientific Electronic Library Online).
-
-The annotation of the entire set of entity mentions was carried out by domain experts.
-It includes the following 4 entity types: NORMALIZABLES, NO_NORMALIZABLES, PROTEINAS and UNCLEAR.
+Manually classified collection of clinical case studies derived from the Spanish Clinical Case Corpus (SPACCC), an open access electronic library that gathers Spanish medical publications from [SciELO](https://scielo.org/).
 
 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](https://brat.nlplab.org/standoff.html) format.
 
+The annotation of the entire set of entity mentions was carried out by domain experts.
+It includes the following 4 entity types: NORMALIZABLES, NO_NORMALIZABLES, PROTEINAS and UNCLEAR.
+
+This dataset was designed for the PharmaCoNER task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
+
 For further information, please visit [the official website](https://temu.bsc.es/pharmaconer/).
 
 ## Digital Object Identifier (DOI) and access to dataset files