| | --- |
| | 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 |
| |
|
| | This dataset explores the relationship between gaming habits and academic performance among students. It includes various attributes such as age, educational level, CGPA, gaming habits, and other related factors. |
| |
|
| | ## Dataset Details |
| |
|
| | ### Dataset Description |
| |
|
| | This dataset aims to investigate how gaming affects the academic performance of students. It includes information on the respondents' demographics, gaming habits, and academic results. |
| |
|
| | - **Curated by:** Hossain et. al |
| | - **Language(s):** English |
| | - **License:** MIT |
| |
|
| |
|
| | ## Uses |
| |
|
| | ### Direct Use |
| |
|
| | This dataset can be used for various purposes, including but not limited to: |
| |
|
| | - Analyzing the impact of gaming on academic performance. |
| | - Studying the correlation between gaming habits and lifestyle factors. |
| | - Developing machine learning models to predict academic performance based on gaming habits and other related factors. |
| |
|
| | ### Out-of-Scope Use |
| |
|
| | This dataset should not be used for malicious purposes or any application that the dataset is not suitable for. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Files |
| |
|
| | The dataset consists of two files: |
| |
|
| | - `train.csv`: The training set. |
| | - `test.csv`: The testing set. |
| | - `igd_data.csv`: Preprocessed set. |
| | - `igd_responses_raw.csv`: The raw dataset. |
| | ### Columns |
| |
|
| | The dataset contains the following columns and these also are questionnaires: |
| |
|
| | 1. **What is your age?**: The age of the respondent. |
| | 2. **Current educational position?**: The educational level of the respondent. |
| | 3. **Gender?**: The gender of the respondent. |
| | 4. **Your current CGPA?**: The current CGPA of the respondent. |
| | 5. **Your Higher Secondary School(H. SC) or A level or equivalent result?**: The higher secondary school result of the respondent. |
| | 6. **At what age you had started playing games?**: The age at which the respondent started playing games. |
| | 7. **Do you play games on mobile or pc?**: The platform on which the respondent plays games. |
| | 8. **When you go to sleep?**: The time the respondent goes to sleep. |
| | 9. **Do you attend your morning class regularly?**: Whether the respondent attends morning classes regularly. |
| | 10. **The average time you spend playing games?**: The average time the respondent spends playing games. |
| | 11. **Do you play paid or non-paid games?**: Whether the respondent plays paid or non-paid games. |
| | 12. **How many time you spend with family and friend?**: The time the respondent spends with family and friends. |
| | 13. **How you fill when you can not play game in whole day?**: The respondent's feeling when they cannot play games for a whole day. |
| | 14. **How you fill to complete game level?**: The respondent's feeling when they complete a game level. |
| | 15. **If you didn't finish games last level what is your feeling?**: The respondent's feeling if they didn't finish the last level of a game. |
| | 16. **Do you fill Fatigue?**: Whether the respondent feels fatigue. |
| | 17. **Do you play games for stress relief?**: Whether the respondent plays games for stress relief. |
| | 18. **Are you wearing glasses?**: Whether the respondent wears glasses. |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | The dataset was created to understand the impact of gaming on students' academic performance and lifestyle. It aims to provide insights that can help educators and policymakers make informed decisions. |
| |
|
| | ### Source Data |
| |
|
| | #### Data Collection and Processing |
| |
|
| | The data was collected through a structured questionnaire filled out by students. The responses were then processed to ensure consistency and accuracy. |
| |
|
| | #### Who are the source data producers? |
| |
|
| | The source data was produced by students who participated in the survey. Their responses were anonymized to protect their privacy. |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | No additional annotations were made to the dataset beyond the initial data collection. |
| |
|
| | #### Who are the annotators? |
| |
|
| | The respondents themselves provided the data. |
| |
|
| | #### Personal and Sensitive Information |
| |
|
| | The dataset contains information that might be considered personal, such as age, gender, and academic results. All data was anonymized to ensure the privacy of the respondents. |
| |
|
| | ## Bias, Risks, and Limitations |
| |
|
| | Users should be aware of potential biases in the dataset, as it may not represent all student populations equally. The dataset should be used with caution, considering its limitations. |
| |
|
| | ### Recommendations |
| |
|
| | Users should consider the biases, risks, and limitations of the dataset. It is recommended to use the dataset in conjunction with other data sources to ensure robust analysis. |
| | ## Usage |
| | To load and use this dataset, you can use the following code snippets in Python: |
| |
|
| | ### Loading the dataset with Hugging Face Datasets library |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load the dataset |
| | dataset = load_dataset("ismail31415/uniGame") |
| | |
| | # Access the training and testing sets |
| | train_df = dataset['train'] |
| | test_df = dataset['test'] |
| | |
| | |
