Update README.md

README.md

@@ -32,7 +32,8 @@ task_ids:
 ### Dataset Description
 
 The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. The dataset is split into two groups:
-1. Topic classification: Totals 21,107 documents. Multi-class classification consisting of 20 labels:
+
+1. Topic classification: Totals 21,107 documents consisting of 20 labels:
 
 ```python
 topics = {
@@ -59,7 +60,15 @@ topics = {
 }
 ```
 
-2. Sentiment analysis: Totals 11,932 documents.
+2. Sentiment analysis: Totals 11,932 documents consisting of 3 labels:
+
+```python
+sentiments = {
+    0:'bearish', 
+    1:'bullish',
+    2:'neutral'
+}    
+```
 
 The data was collected using the Twitter API. The current dataset supports the multi-class classification task.