The dataset contains 6273 training samples, 762 validation samples and 749 test samples. 
Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'), 
list of tokens ('tokens'), list of normalised word forms ('norms'), list of lemmas ('lemmas'), 
list of Multext-East tags ('xpos\_tags), list of morphological features ('feats'), 
and list of UPOS tags ('upos\_tags'), which are encoded as class labels.
task_categories:other task_ids:lemmatization task_ids:part-of-speech language:si license:cc-by-sa-4.0 structure-prediction normalization tokenization region:us
{"language": ["si"], "license": ["cc-by-sa-4.0"], "task_categories": ["other"], "task_ids": ["lemmatization", "part-of-speech"], "tags": ["structure-prediction", "normalization", "tokenization"]}
TAGS
#task_categories-other #task_ids-lemmatization #task_ids-part-of-speech #language-Sinhala #license-cc-by-sa-4.0 #structure-prediction #normalization #tokenization #region-us 

The dataset contains 6273 training samples, 762 validation samples and 749 test samples. 
Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'), 
list of tokens ('tokens'), list of normalised word forms ('norms'), list of lemmas ('lemmas'), 
list of Multext-East tags ('xpos\_tags), list of morphological features ('feats'), 
and list of UPOS tags ('upos\_tags'), which are encoded as class labels.
TAGS
#task_categories-other #task_ids-lemmatization #task_ids-part-of-speech #language-Sinhala #license-cc-by-sa-4.0 #structure-prediction #normalization #tokenization #region-us 
