Update README.md

added the dataset description

README.md

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   - split: train
     path: data/train-*
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+
+# Stock Market Dataset  
+
+## Description  
+This dataset contains stock market data for a specific stock over a period of time. The dataset includes **daily stock prices and trading information**, which can be used for **financial analysis, time series forecasting,** and **stock price prediction**.  
+
+## Dataset Details  
+
+### **Columns:**  
+- **Date**: The trading date (**MM/DD/YYYY format**).  
+- **Open**: The opening price of the stock on that day.  
+- **High**: The highest price reached during the trading day.  
+- **Low**: The lowest price reached during the trading day.  
+- **Volume**: The number of shares traded on that day.  
+- **OpenInt**: Open interest (**often used in derivatives markets; for stocks, this might not be relevant**).  
+- **Close**: The closing price of the stock on that day.  
+
+### **Notes:**  
+- The column **Unnamed: 6** contains only NaN values and should be ignored.  
+- The dataset contains **1,582 entries**.  
+
+## Use Cases  
+- **Stock price trend analysis**.  
+- **Predictive modeling using machine learning**.  
+- **Time series forecasting for financial markets**.  
+
+## How to Use  
+You can load the dataset using the `datasets` library:  
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Tarakeshwaran/Hackathon_Stock_Prediction")
+print(dataset)