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README.md

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-license: mit
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+---
+license: mit
+---
+---
+license: mit
+---
+
+# TechQA Dataset
+
+**TechQA** is a synthetic instructional Q&A dataset for educational and fine-tuning purposes. It contains **3,000 examples** covering topics in Machine Learning, Data Structures, Algorithms, Python Programming, Web Development, and Databases.  
+
+The dataset was generated using templates to create diverse instructions and corresponding informative responses for each topic. It is suitable for training or evaluating language models in technical and educational domains.
+
+## Dataset Details
+
+- **Number of samples:** 3,000  
+- **Categories included:**  
+  - Machine Learning  
+  - Data Structures  
+  - Algorithms  
+  - Python Programming  
+  - Web Development  
+  - Databases  
+
+- **Format:** JSON  
+  Each example has the following fields:
+  ```json
+  {
+    "instruction": "Explain regression in machine learning.",
+    "output": "Regression is an important concept in Machine Learning. It plays a key role in understanding system design and implementation. In practical scenarios, it is used to improve efficiency, maintainability, and scalability."
+  }