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metadata
dataset_info:
  features:
    - name: Timestamp
      dtype: string
    - name: Gender
      dtype: string
    - name: Country
      dtype: string
    - name: Occupation
      dtype: string
    - name: self_employed
      dtype: string
    - name: family_history
      dtype: string
    - name: treatment
      dtype: string
    - name: Days_Indoors
      dtype: string
    - name: Growing_Stress
      dtype: string
    - name: Changes_Habits
      dtype: string
    - name: Mental_Health_History
      dtype: string
    - name: Mood_Swings
      dtype: string
    - name: Coping_Struggles
      dtype: string
    - name: Work_Interest
      dtype: string
    - name: Social_Weakness
      dtype: string
    - name: mental_health_interview
      dtype: string
    - name: care_options
      dtype: string
  task_categories:
    - tabular-classification
    - mental-health-analysis
    - LLM-training
    - chatbot-training
  size_categories:
    - 1K<n<10K
  license: MIT

🧠 Mental Health Posting Dataset β€” Synthetic Dataset for LLM & Chatbot Training

Free dataset for mental health research, LLM training, and chatbot development, generated using synthetic data generation techniques to ensure privacy and high fidelity.


🌟 About This Dataset

This dataset contains synthetic mental health survey responses across multiple demographics and occupations. It includes participant-reported stress levels, coping mechanisms, mood swings, and social interaction tendencies.
It is ideal as a dataset for LLM training, chatbot training, and experimentation in AI-driven mental health research, while being 100% privacy-safe and open for free use.


πŸ“Š Dataset Features

Feature Description
Timestamp Survey response timestamp
Gender Participant gender
Country Participant location
Occupation Participant job/role
self_employed Yes/No
family_history Family history of mental illness
treatment Receiving treatment (Yes/No)
Days_Indoors Average days indoors
Growing_Stress Participant self-reported stress level
Changes_Habits Yes/No/Maybe
Mental_Health_History History of mental health issues
Mood_Swings Low/Medium/High
Coping_Struggles Yes/No/Maybe
Work_Interest Work engagement level
Social_Weakness Social tendencies (Yes/No/Maybe)
mental_health_interview Interview feedback or notes
care_options Care options discussed

πŸ“¦ What’s Inside


πŸ€– Use Cases

  • 🧠 Mental Health Research: Analyze patterns across demographics and stress factors
  • πŸ’¬ Chatbot Training: Fine-tune conversational AI for mental health support
  • 🧩 LLM Training: Train language models on structured mental health interactions
  • πŸ“Š Predictive Analysis: Identify correlations between lifestyle, stress, and mental health
  • πŸ” Feature Engineering: Experiment with insights from synthetic mental health data

🚨 Why Synthetic?

  • Privacy-Safe: No real user data included
  • Free Dataset: Openly available for research and development
  • Flexible Scaling: Easily extend dataset using synthetic generation tools
  • Bias-Aware: Balanced synthetic sampling supports fair AI models

πŸ“œ License

Released under MIT License.

This is a free synthetic dataset, ideal as a dataset for LLM training, chatbot training, and mental health research.