Update README.md

README.md

@@ -16,7 +16,7 @@ It was trained on Russian language corpus (300GB).   The dataset is the same as
 
 Bbpe tokenizer. 50257 + special tokens 107. Prefix tokens: '\<LM\>', '\<SC1>',.. '\<SC6>'
 
-First half of the time model trained on the small part of all datasets (1%,3GB) and without prefixes in each task.
+First half of the time model trained on the small part of all dataset (1%,3GB) and without prefixes in each task.
 
 For RSG, we trained as described in the T5 paper. First, we trained multitask for all tasks. Then we took the best checkpoint for the task and trained it further.
 RSG submit here https://russiansuperglue.com/login/submit_info/1936