Update README.md

README.md

@@ -48,7 +48,7 @@ task_ids: []
 
 ### Dataset Summary
 
-The CaSET dataset is a Catalan corpus of Tweets annotated with Emotions, Static Stance, and Dynamic Stance. The dataset contains 11k unique sentences on five controversial topics, grouped in 6k pairs of sentences, paired as original messages and answers to these messages.
+The CaSET dataset is a Catalan corpus of Tweets annotated with Emotions, Static Stance, and Dynamic Stance. The dataset contains 11k unique sentences on five controversial topics, grouped in 6k pairs of sentences, paired as parent messages and replies to these messages.
 
 ### Supported Tasks and Leaderboards
 
@@ -60,22 +60,22 @@ The dataset is in Catalan (`ca-ES`).
 
 ## Dataset Structure
 
-Each instance in the dataset is a pair of original-answer messages, annotated with the relation between the two messages (the dynamic stance) and the topic of the messages. For each message there is the id to retrieve it with the Twitter API, the emotions identified in the message, and the relation between the message and the topic (static stance). The text fields have to be retrieved using the Twitter API.
+Each instance in the dataset is a pair of parent-reply messages, annotated with the relation between the two messages (the dynamic stance) and the topic of the messages. For each message there is the id to retrieve it with the Twitter API, the emotions identified in the message, and the relation between the message and the topic (static stance). The text fields have to be retrieved using the Twitter API.
 
 ### Data Instances
 
 ```
 {
-"id_original": "1413960970066710533", 
-"id_answer": "1413968453690658816", 
-  "original_text": "", 
-  "answer_text": "", 
+"id_parent": "1413960970066710533", 
+"id_reply": "1413968453690658816", 
+  "parent_text": "", 
+  "reply_text": "", 
     "topic": "vaccines", 
     "dynamic_stance": "Disagree", 
-  "original_stance": "FAVOUR", 
-  "answer_stance": "AGAINST", 
-  "original_emotion": ["distrust", "joy", "disgust"], 
-  "answer_emotion": ["distrust"]
+  "parent_stance": "FAVOUR", 
+  "reply_stance": "AGAINST", 
+  "parent_emotion": ["distrust", "joy", "disgust"], 
+  "reply_emotion": ["distrust"]
 }
 ```