Synthetic Personality Dataset: Introverts and Extroverts
This Synthetic Personality Dataset includes 10,000 high-fidelity synthetic records that simulate the behavioral and social patterns of introverted and extroverted individuals. Generated using Syncora.ai's synthetic data engine, the dataset preserves real-world behavioral distributions while ensuring zero privacy risk.
Designed for researchers, data scientists, and AI developers, this dataset is ideal for personality prediction, behavioral modeling, machine learning experiments, and social science research—with no compromise on privacy or ethical concerns.
🧠 Context & Applications
Introversion and extroversion influence how individuals socialize, recharge, and respond to external stimuli. This dataset replicates personality-linked behaviors such as:
- Time spent alone
- Frequency of attending social events
- Social media posting habits
- Feeling drained after socializing
Useful for:
- Psychology & behavioral science research
- Marketing & audience segmentation
- Human-computer interaction (HCI) design
- Personality classification datasets for ML model development
📊 Dataset Features
| Column | Description |
|---|---|
Time_spent_Alone |
Average daily hours spent alone (0–11) |
Stage_fear |
Stage fright indicator (0: No, 1: Yes) |
Social_event_attendance |
Weekly social event frequency (0–10) |
Going_outside |
Outdoor activity frequency per week (0–7) |
Drained_after_socializing |
Social exhaustion indicator (0: No, 1: Yes) |
Friends_circle_size |
Number of close friends (0–15) |
Post_frequency |
Weekly social media posts (0–10) |
Personality |
Target label (0: Extrovert, 1: Introvert) |
📁 Data Characteristics
- Size: 10,000 records × 8 variables
- Format: CSV – Ready for Python, R, Excel, etc.
- Missing Data: Present in select features (ideal for imputation practice)
- Balanced Classes: Equal distribution of personality types
- Binary Encoding: Categorical traits encoded as 0/1 for modeling ease
🧪 ML & Analytical Use Cases
- Personality Prediction: Build ML models to classify personality types
- Behavioral Trend Analysis: Explore habits across personality types
- Data Preprocessing: Practice imputation, encoding, feature engineering
- Visualization Projects: Create dashboards or EDA plots
- Bias-Free AI Training: Privacy-safe dataset for compliant AI models
🤖 Why Choose Syncora?
Syncora.ai synthetic datasets are engineered for accuracy, flexibility, and ethical AI experimentation. This dataset offers:
- Unique yet realistic samples
- Statistically preserved relationships between features
- Customizable variable distributions
- Scalable record generation for research and prototyping
Whether you're exploring personality science or building AI-driven behavioral models, Syncora gives you the freedom to experiment without compromise.
📦 What This Repo Contains
-
Synthetic Personality Dataset – Sample data for training AI models, in CSV format.
Download Dataset -
Jupyter Notebook – Exploration and usage guide for the dataset.
Open Notebook
⚠️ Disclaimer
This is a 100% synthetic dataset — no real individuals are represented.
It is intended for educational, experimental, and analytical use in psychology, data science, and machine learning.
Explore personality. Model behavior. Build ethically.
This is synthetic data that empowers — without compromising privacy.