Update README.md

README.md

@@ -31,9 +31,9 @@ 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:
+The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.
 
-1. Topic classification: 21,107 documents annotated with 20 labels:
+1. The dataset holds 21,107 documents annotated with 20 labels:
 
 ```python
 topics = {
@@ -60,30 +60,9 @@ topics = {
 }
 ```
 
-2. Sentiment analysis: 11,932 documents annotated with 3 labels:
-
-```python
-sentiments = {
-    "LABEL_0": "Bearish", 
-    "LABEL_1": "Bullish", 
-    "LABEL_2": "Neutral"
-}  
-```
-
 The data was collected using the Twitter API. The current dataset supports the multi-class classification task.
 
-### Task 1: Sentiment Analysis
-
-# Data Splits
-There are 2 splits: train and validation. Below are the statistics:
-
-| Dataset Split | Number of Instances in Split                |
-| ------------- | ------------------------------------------- |
-| Train         | 9,938                                       |
-| Validation    | 2,486                                       |
-
-
-### Task 2: Topic Classification
+### Task: Topic Classification
 
 # Data Splits
 There are 2 splits: train and validation. Below are the statistics: