Update README.md

README.md

@@ -31,13 +31,15 @@ However, the dataset is structured to provide a comprehensive mix of textual dat
 
 The dataset is formatted using **JSON** and **JSON Lines (JSONL)** to ensure fast parsing and seamless integration with modern deep learning frameworks. 
 
-### Data Fields
-Based on the compilation process, each data instance is expected to contain the following core attributes:
-* **`id`** *(string)*: A unique identifier for tracking individual samples.
-* **`text`** *(string)*: The primary payload, which can be a paragraph of natural language or a structured block of source code.
-* **`language`** *(string)*: The language code representing the text content (`en`, `kk`, or `ru`).
-* **`programming_language`** *(string, optional)*: Explicitly defined as `python` or `javascript` if the sample contains source code.
-* **`metadata`** *(dictionary, optional)*: Additional contextual attributes such as source origin or license types.
+### 🔍 Data Fields
+
+| Field Name | Type | Description |
+| :--- | :--- | :--- |
+| 🆔 **`id`** | *string* | A unique identifier for tracking individual samples. |
+| 📝 **`text`** | *string* | The primary payload (natural language text or structured source code). |
+| 🌐 **`language`** | *string* | The language code representing the text content (`en`, `kk`, or `ru`). |
+| 💻 **`programming_language`** | *string, optional* | Explicitly defined as `python` or `javascript` if the sample contains code. |
+| ⚙️ **`metadata`** | *dict, optional* | Additional contextual attributes such as source origin or license types. |
 
 ### How to Use & Integration Guide
 Since the dataset is quite large (ranging between 10 million and 100 million rows), loading it entirely into RAM might be inefficient depending on your hardware setup. Below are the recommended ways to handle the data.