datasets	name UniGame Dataset
task_categories	text-classification
license	mit
tags	machine learning data science mental health
pretty_name	UniGame
size_categories	n<1K

🎮 UniGame Dataset

The UniGame dataset explores the relationship between gaming habits and academic performance among students. It includes features like age, education, CGPA, sleep habits, gaming patterns, and more.

---

📁 Dataset Overview

🔍 Description

This dataset is designed to study the behavioral and academic patterns of students who engage in video gaming. It captures demographic info, academic background, and emotional/behavioral responses tied to gaming.

• Curated by: Hossain et al.
• Language: English
• License: MIT

---

📦 Files

• igd_data.csv – ✅ Processed dataset used for modeling.
• igd_responses_raw.csv – 📝 Raw dataset collected via surveys.
• processing_plotting_notebook.ipynb – 📊 Notebook for data cleaning, preprocessing, and visualization.
• IGD_ML.ipynb – 📈 Notebook for ML validation.

---

🧾 Questionnaire (Columns Overview)

1. What is your age?
2. Current educational position?
3. Gender?
4. Your current CGPA?
5. Your Higher Secondary School(H. SC) or A level or equivalent result?
6. At what age you had started playing games?
7. Do you play games on mobile or pc?
8. When you go to sleep?
9. Do you attend your morning class regularly?
10. The average time you spend playing games?
11. Do you play paid or non-paid games?
12. How many time you spend with family and friend?
13. How you fill when you can not play game in whole day?
14. How you fill to complete game level?
15. If you didn't finish games last level what is your feeling?
16. Do you fill Fatigue?
17. Do you play games for stress relief?
18. Are you wearing glasses?

---