Update README.md

README.md

@@ -32,7 +32,33 @@ 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.
+1. Topic classification: Totals 21,107 documents. Multi-class classification consisting of 20 labels:
+
+```python
+topics = {
+    0:'Analyst Update',
+    1:'Fed | Central Banks',
+    2:'Company | Product News',
+    3:'Treasuries | Corporate Debt',
+    4:'Dividend',
+    5:'Earnings',
+    6:'Energy | Oil',
+    7:'Financials',
+    8:'Currencies',
+    9:'General News | Opinion',
+    10:'Gold | Metals | Materials',
+    11:'IPO',
+    12:'Legal | Regulation',
+    13:'M&A | Investments',
+    14:'Macro',
+    15:'Markets',
+    16:'Politics',
+    17:'Personnel Change',
+    18:'Stock Commentary',
+    19:'Stock Movement'
+}
+```
+
 2. Sentiment analysis: Totals 11,932 documents.
 
 The data was collected using the Twitter API. The current dataset supports the multi-class classification task.