Update README.md

README.md

@@ -12,6 +12,14 @@ This is a baseline RoBERTa-base model for the delicate text detection task.
 * Paper: [DeTexD: A Benchmark Dataset for Delicate Text Detection](TODO)
 * [GitHub repository](https://github.com/grammarly/detexd)
 
+The labels meaning according to the paper:
+ - LABEL_0 -> non-delicate (0)
+ - LABEL_1 -> very low risk (1)
+ - LABEL_2 -> low risk (2)
+ - LABEL_3 -> medium risk (3)
+ - LABEL_4 -> high risk (4)
+ - LABEL_5 -> very high risk (5)
+
 ## Classification example code
 
 Here's a short usage example with the torch library in a binary classification task: