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  ---
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  datasets:
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- - name: UniGame Dataset
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- overview: >
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- 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.
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- files:
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- - name: train.csv
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- description: The training set.
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- - name: test.csv
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- description: The testing set.
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- columns:
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- - name: What is your age?
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- description: The age of the respondent.
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- - name: Current educational position?
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- description: The educational level of the respondent.
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- - name: Gender?
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- description: The gender of the respondent.
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- - name: Your current CGPA?
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- description: The current CGPA of the respondent.
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- - name: Your Higher Secondary School(H. SC) or A level or equivalent result?
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- description: The higher secondary school result of the respondent.
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- - name: At what age you had started playing games?
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- description: The age at which the respondent started playing games.
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- - name: Do you play games on mobile or pc?
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- description: The platform on which the respondent plays games.
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- - name: When you go to sleep?
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- description: The time the respondent goes to sleep.
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- - name: Do you attend your morning class regularly?
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- description: Whether the respondent attends morning classes regularly.
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- - name: The average time you spend playing games?
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- description: The average time the respondent spends playing games.
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- - name: Do you play paid or non-paid games?
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- description: Whether the respondent plays paid or non-paid games.
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- - name: How many time you spend with family and friend?
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- description: The time the respondent spends with family and friends.
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- - name: How you fill when you can not play game in whole day?
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- description: The respondents feeling when they cannot play games for a whole day.
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- - name: How you fill to complete game level?
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- description: The respondents feeling when they complete a game level.
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- - name: If you didnt finish games last level what is your feeling?
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- description: The respondents feeling if they didnt finish the last level of a game.
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- - name: Do you fill Fatigue?
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- description: Whether the respondent feels fatigue.
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- - name: Do you play games for stress relief?
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- description: Whether the respondent plays games for stress relief.
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- - name: Are you wearing glasses?
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- description: Whether the respondent wears glasses.
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- usage:
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- direct_use: >
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- This dataset can be used for various purposes, including but not limited to:
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-
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- - Analyzing the impact of gaming on academic performance.
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- - Studying the correlation between gaming habits and lifestyle factors.
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- - Developing machine learning models to predict academic performance based on gaming habits and other related factors.
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- out_of_scope_use: >
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- Misuse, malicious use, and uses that the dataset will not work well for should be avoided.
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- example: >
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-
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- license: >
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- This dataset is made available under the MIT license.
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- citation: >
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- If you use this dataset in your research, please cite it as follows:
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-
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- contact: >
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- For any questions or issues, please contact ismail.hossain2018@northsouth.edu.
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  datasets:
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+ - name: UniGame Dataset
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+ task_categories:
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+ - text-classification
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+ license: mit
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+ tags:
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+ - machine learning
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+ - data science
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+ - mental health
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+ pretty_name: UniGame
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+
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+
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+ # UniGame Dataset
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+
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+ 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.
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ 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.
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+
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+ - **Curated by:** Hossain et. al
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+ - **Language(s):** English
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+ - **License:** MIT
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+
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+
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+ ## Uses
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+
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+ ### Direct Use
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+
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+ This dataset can be used for various purposes, including but not limited to:
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+
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+ - Analyzing the impact of gaming on academic performance.
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+ - Studying the correlation between gaming habits and lifestyle factors.
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+ - Developing machine learning models to predict academic performance based on gaming habits and other related factors.
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+
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+ ### Out-of-Scope Use
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+
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+ This dataset should not be used for malicious purposes or any application that the dataset is not suitable for.
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+
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+ ## Dataset Structure
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+
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+ ### Files
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+
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+ The dataset consists of two files:
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+
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+ - `train.csv`: The training set.
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+ - `test.csv`: The testing set.
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+
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+ ### Columns
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+
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+ The dataset contains the following columns:
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+
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+ 1. **What is your age?**: The age of the respondent.
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+ 2. **Current educational position?**: The educational level of the respondent.
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+ 3. **Gender?**: The gender of the respondent.
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+ 4. **Your current CGPA?**: The current CGPA of the respondent.
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+ 5. **Your Higher Secondary School(H. SC) or A level or equivalent result?**: The higher secondary school result of the respondent.
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+ 6. **At what age you had started playing games?**: The age at which the respondent started playing games.
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+ 7. **Do you play games on mobile or pc?**: The platform on which the respondent plays games.
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+ 8. **When you go to sleep?**: The time the respondent goes to sleep.
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+ 9. **Do you attend your morning class regularly?**: Whether the respondent attends morning classes regularly.
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+ 10. **The average time you spend playing games?**: The average time the respondent spends playing games.
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+ 11. **Do you play paid or non-paid games?**: Whether the respondent plays paid or non-paid games.
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+ 12. **How many time you spend with family and friend?**: The time the respondent spends with family and friends.
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+ 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.
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+ 14. **How you fill to complete game level?**: The respondent's feeling when they complete a game level.
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+ 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.
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+ 16. **Do you fill Fatigue?**: Whether the respondent feels fatigue.
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+ 17. **Do you play games for stress relief?**: Whether the respondent plays games for stress relief.
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+ 18. **Are you wearing glasses?**: Whether the respondent wears glasses.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ 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.
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+
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+ ### Source Data
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+
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+ #### Data Collection and Processing
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+
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+ The data was collected through a structured questionnaire filled out by students. The responses were then processed to ensure consistency and accuracy.
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+
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+ #### Who are the source data producers?
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+
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+ The source data was produced by students who participated in the survey. Their responses were anonymized to protect their privacy.
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ No additional annotations were made to the dataset beyond the initial data collection.
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+
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+ #### Who are the annotators?
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+
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+ The respondents themselves provided the data.
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+
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+ #### Personal and Sensitive Information
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+
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+ 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.
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+
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+ ## Bias, Risks, and Limitations
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+
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+ 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.
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+
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+ ### Recommendations
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+
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+ 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.
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite it as follows:
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+
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+ **BibTeX:**