Update README.md

README.md

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 The ReRelEM dataset is designed for the detection and classification of relations between named entities in Portuguese text. It contains 2226 training, 701 validation, and 805 test instances. Each instance contains two sentences with two entities enclosed by the tags [E1] and [E2]. The dataset provides a fourfold relationship classification: identity, included-in, located-in, and other (which is detailed into twenty different relations).
 
-It's important to note that this is not a full representation of the original ReRelEM dataset. The dataset was split into train, validation, and test sets, after which records with relation types not included in the training set were dropped from the validation and test sets. Furthermore, 7 records from the original dataset that had formatting errors and could not be resolved into post-processed records were also dropped. 
+It's important to note that, although we maintained more than 99% of the original instances, this is not a full representation of the original ReRelEM dataset. 
+The dataset was split into train, validation, and test sets, after which 21 instances with relation types not included in the training set were dropped from the test set. Furthermore, 7 instances from the original dataset that had formatting errors and could not be resolved into post-processed records were also dropped. 
 
 ### Supported Tasks and Leaderboards