Update readme.md

README.md

@@ -21,5 +21,10 @@ The hr500k training corpus contains about 500,000 Croatian tokens manually annot
 
 On the sentence level, the dataset contains 20159 training samples, 1963 validation samples and 2672 test samples 
 across the respective data splits. Each sample represents a sentence and includes the following features:
-sentence ID ('sent\_id'), sentence text ('text'), list of tokens ('tokens'), list of lemmas ('lemmas'), list of Multext-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), list of morphological features ('feats'), and list of IOB tags ('iob\_tags'). The 'upos\_tags' and 'iob\_tags' features
-are encoded as class labels.
+sentence ID ('sent\_id'), sentence text ('text'), list of tokens ('tokens'), list of lemmas ('lemmas'), 
+list of Multext-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), list of morphological features ('feats'), 
+and list of IOB tags ('iob\_tags'). A subset of the data also contains universal dependencies ('ud') and consists of
+7498 training samples, 649 validation samples, and 742 test samples.
+
+Three dataset configurations are available, namely 'ner', 'upos', and 'ud', with the corresponding features
+encoded as class labels. If the configuration is not specified, it defaults to 'ner'.