Update README.md

README.md

@@ -55,7 +55,7 @@ This is a news dataset for the commodity market which has been manually annotate
 The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on Kaggle, under the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
 
 ## Dataset Descriptions
-- **Homepage:** [Kaggle](https://www.kaggle.com/ankurzing/sentiment-analysis-for-financial-news) [ResearchGate](https://www.researchgate.net/publication/350914989_Impact_of_News_on_the_Commodity_Market_Dataset_and_Results)
+- **Homepage:** [Kaggle](https://www.kaggle.com/datasets/ankurzing/sentiment-analysis-in-commodity-market-gold) [ResearchGate](https://www.researchgate.net/publication/350914989_Impact_of_News_on_the_Commodity_Market_Dataset_and_Results)
 - **Repository:**
 - **Paper:** [Arxiv](https://arxiv.org/abs/2009.04202)
 
@@ -95,9 +95,62 @@ Sentiment Classification
 - Price Sentiment: Price sentiment of Gold commodity based on headline
 
 ### Data Splits
-There is currently an train/test split of 80%/20%. 
-- The train split has 8456 elements. The different counts of "Price Sentiment" within this split are as follows. 'positive': 3531; 'negative': 3068; 'none': 1552; 'neutral': 305.
-- The test split has 2114 elements. The different counts of "Price Sentiment" within this split are as follows. 'positive': 881; 'negative': 746; 'none': 416; 'neutral': 71.
+There is currently an train/test split of 80%/20%, with train split having 8456 elements and the test split having 2114 elements. 
+Each of the dataset article entries contain a subset of the following features: "Price Direction Up", "Price Direction Constant", "Price Direction Down", "Asset Comparison", "Past Information", "Future Information", "Price Sentiment"
+Below are tables for each task, with the different categories separated into columns:
+Below is the README table for each task, with separate rows for train and test values:
+
+| Task | Train | Test |
+|------|-------|------|
+| **Price Direction Up** | 0: 4925<br>1: 3531 | 0: 1233<br>1: 881 |
+| **Price Direction Constant** | 0: 8092<br>1: 364 | 0: 2034<br>1: 80 |
+| **Price Direction Down** | 0: 5311<br>1: 3145 | 0: 1347<br>1: 767 |
+| **Asset Comparison** | 0: 6855<br>1: 1601 | 0: 1714<br>1: 400 |
+| **Past Information** | 1: 8196<br>0: 260 | 1: 2056<br>0: 58 |
+| **Future Information** | 0: 8195<br>1: 261 | 0: 2056<br>1: 58 |
+| **Price Sentiment** | positive: 3531<br>negative: 3068<br>none: 1552<br>neutral: 305 | positive: 881<br>negative: 746<br>none: 416<br>neutral: 71 |
+
+#### Price Direction Up
+|      | 0  | 1  |
+|------|----|----|
+| Train| 4925 | 3531 |
+| Test | 1233 | 881 |
+
+#### Price Direction Constant
+|      | 0  | 1  |
+|------|----|----|
+| Train| 8092 | 364 |
+| Test | 2034 | 80 |
+
+#### Price Direction Down
+|      | 0  | 1  |
+|------|----|----|
+| Train| 5311 | 3145 |
+| Test | 1347 | 767 |
+
+#### Asset Comparison
+|      | 0  | 1  |
+|------|----|----|
+| Train| 6855 | 1601 |
+| Test | 1714 | 400 |
+
+#### Past Information
+|      | 1  | 0  |
+|------|----|----|
+| Train| 8196 | 260 |
+| Test | 2056 | 58 |
+
+#### Future Information
+|      | 0  | 1  |
+|------|----|----|
+| Train| 8195 | 261 |
+| Test | 2056 | 58 |
+
+#### Price Sentiment
+|      | positive | negative | none | neutral |
+|------|----------|----------|------|---------|
+| Train| 3531     | 3068     | 1552 | 305     |
+| Test | 881      | 746      | 416  | 71      |
 
 ## Dataset Creation