Update README.md

README.md

@@ -1,66 +1,121 @@
 ---
 datasets:
-  - name: UniGame Dataset
-    overview: >
-      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.
-    files:
-      - name: train.csv
-        description: The training set.
-      - name: test.csv
-        description: The testing set.
-    columns:
-      - name: What is your age?
-        description: The age of the respondent.
-      - name: Current educational position?
-        description: The educational level of the respondent.
-      - name: Gender?
-        description: The gender of the respondent.
-      - name: Your current CGPA?
-        description: The current CGPA of the respondent.
-      - name: Your Higher Secondary School(H. SC) or A level or equivalent result?
-        description: The higher secondary school result of the respondent.
-      - name: At what age you had started playing games?
-        description: The age at which the respondent started playing games.
-      - name: Do you play games on mobile or pc?
-        description: The platform on which the respondent plays games.
-      - name: When you go to sleep?
-        description: The time the respondent goes to sleep.
-      - name: Do you attend your morning class regularly?
-        description: Whether the respondent attends morning classes regularly.
-      - name: The average time you spend playing games?
-        description: The average time the respondent spends playing games.
-      - name: Do you play paid or non-paid games?
-        description: Whether the respondent plays paid or non-paid games.
-      - name: How many time you spend with family and friend?
-        description: The time the respondent spends with family and friends.
-      - name: How you fill when you can not play game in whole day?
-        description: The respondents feeling when they cannot play games for a whole day.
-      - name: How you fill to complete game level?
-        description: The respondents feeling when they complete a game level.
-      - name: If you didnt finish games last level what is your feeling?
-        description: The respondents feeling if they didnt finish the last level of a game.
-      - name: Do you fill Fatigue?
-        description: Whether the respondent feels fatigue.
-      - name: Do you play games for stress relief?
-        description: Whether the respondent plays games for stress relief.
-      - name: Are you wearing glasses?
-        description: Whether the respondent wears glasses.
-    usage:
-      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: >
-        Misuse, malicious use, and uses that the dataset will not work well for should be avoided.
-    example: >
-      
-    license: >
-      This dataset is made available under the MIT license.
-    citation: >
-      If you use this dataset in your research, please cite it as follows:
-
-    contact: >
-      For any questions or issues, please contact ismail.[email protected].
----
+- 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.
+
+### Columns
+
+The dataset contains the following columns:
+
+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.
+
+## Citation
+
+If you use this dataset in your research, please cite it as follows:
+
+**BibTeX:**