Update README.md

README.md

@@ -54,6 +54,25 @@ please refer to our paper and the annotation guidelines for the
 
 This is an HF friendly dataset loader for training LLMs on the NER tags.
 
+### Usage Example
+
+```
+from datasets import load_dataset
+
+annodb = load_dataset("priamai/AnnoCTR","all_tags",trust_remote_code=True)
+
+label_list = annodb["train"].features[f"all_tags"].feature.names
+
+
+```
+The letter that prefixes each `tag` indicates the token position of the entity:
+
+- `B-` indicates the beginning of an entity.
+- `I-` indicates a token is contained inside the same entity (for example, the `State` token is a part of an entity like
+  `Empire State Building`).
+- `0` indicates the token doesn't correspond to any entity.
+
+There are 23 tags currently.
 
 ### Acknowledgements