Update README.md

README.md

@@ -124,8 +124,8 @@ Finally, we surround each entity with entity indicators (`<e>`, `</e>`).
 
 ### Supported Tasks and Leaderboards
 
-The dataset was developped for intermediate pre-training of language models and can be used on any downstream task. 
-In the paper it's effectiveness is proven on entity-centric tasks, such as NER.
+The dataset was developped for intermediate pre-training of language models. 
+In the paper we further fine-tune models on entity-centric downstream tasks, such as NER.
 
 ### Languages
 
@@ -149,10 +149,12 @@ The dataset covers 93 languages in total, including English.
 ### Data Fields
 
 Each instance contains 3 fields:
-- id: Unique ID of each sentence
-- language: The language of choice for entity code-switching of the given sentence
-- en_sentence: The original English sentence
-- cs_sentence: The code-switched sentence
+- `id`: Unique ID of each sentence
+- `language`: The language of choice for entity code-switching of the given sentence
+- `en_sentence`: The original English sentence
+- `cs_sentence`: The code-switched sentence
+
+In the case of the English subset, the `cs_sentence` field does not exist.
 
 An example of what a data instance looks like:
 ```
@@ -166,7 +168,7 @@ An example of what a data instance looks like:
 
 ### Data Splits
 
-There is a single data split for each language. You can randomly select a few examples to serve as validation set.
+There is a single data split for each language. You can randomly select a few examples from each language to serve as validation set.
 
 
 ### Limitations