Update README.md

README.md

@@ -184,7 +184,7 @@ persons).
 
 ### Supported Tasks and Leaderboards
 
-- named-entity-recognition: The dataset can be used to train a model for Named Entity Recognition.
+- named-entity-recognition: This dataset can be used to train a model for Named Entity Recognition. In particular, the dataset was designed to detect mentions of people in archival documents. 
 
 ### Languages
 
@@ -194,14 +194,16 @@ The dataset contains 18th Century Dutch. The text in the dataset was produced vi
 
 ### Data Instances
 
+Each datapoint refers to a central entity that can be a person, place, organization or proper name or their attributes such as gender, legal
+status and notarial role of a person.
 
 ### Data Fields
 
-- tokens
-- NE-MAIN
-- NE-PER-NAME
-- NE-PER-GENDER
-- NE-PER-LEGAL-STATUS
+- tokens: text tokens 
+- NE-MAIN: 
+- NE-PER-NAME: person name entity 
+- NE-PER-GENDER: ascribed gender of person
+- NE-PER-LEGAL-STATUS: 
 - NE-PER-ROLE
 - NE-ORG-BENEFICIARY
 - MISC
@@ -233,6 +235,13 @@ Archives.
 
 ### Annotations
 
+| Entity       | #      | %    |
+|--------------|--------|------|
+| Person       | 11,715 | 36.4 |
+| Place        | 4,510  | 14   |
+| Organization | 1,080  | 3.4  |
+| ProperName   | 14,898 | 46.2 |
+
 #### Annotation process
 
 Annotations were created as a shared annotation task on the Brat annotation software. Annotations were created by highlighting the relevant span of