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AI-Driven Mental Health Conversations Dataset

Public Health & Epidemiology

Tags and Keywords

NLP

Mental Health

Psychology

Conversational AI

Therapeutic AI

Anxiety and Depression

Healthcare Innovation

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AI-Driven Mental Health Conversations Dataset Dataset on Opendatabay data marketplace

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Free

About

Explore the intersection of mental health support and artificial intelligence with this dataset of conversations between users and experienced psychologists. Carefully anonymized, the dataset provides a foundation for developing Natural Language Processing (NLP) models capable of delivering tailored mental health advice. This resource is ideal for researchers, AI developers, and mental health professionals seeking to advance technology-driven support systems.

Dataset Features

  • Conversation Data:
    • Context: User queries or concerns presented to psychologists.
    • Response: Expert replies crafted by psychologists to address user concerns.
  • Size and Format:
    • Two columns: Context and Response.
    • File format: CSV, with structured dialogue data for easy use in NLP applications.

Usage

This dataset can be utilized for:
  • NLP Model Development:
    • Train AI systems to generate empathetic and contextually accurate responses for mental health support.
  • Psychological Research:
    • Analyze themes in user concerns and expert responses to better understand prevalent mental health issues.
  • AI-Based Therapy Tools:
    • Build tools that simulate human-like psychological support for preliminary or supplementary mental health care.
  • Text Mining and Sentiment Analysis:
    • Extract key insights and emotional tone from conversations to enhance AI interpretive abilities.

License

  • Source: Huggingface Hub.
  • License: CC0 1.0 Universal (Public Domain Dedication).

Who Can Use It

  • Researchers: For studying conversational patterns and thematic insights in mental health.
  • AI Developers: To build AI-powered mental health support systems.
  • Mental Health Professionals: Exploring AI’s potential for scalable and accessible care solutions.
  • Data Scientists: Working on sentiment analysis, dialogue systems, or text classification projects.

Dataset Details

  • License: Public Domain (CC0).
  • Data Format: CSV.
  • Columns:
    • Context: User’s mental health query or concern.
    • Response: Psychologist’s reply.

Listing Stats

VIEWS

8

DOWNLOADS

4

LISTED

24/11/2024

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free