Dark Mode
Mental Health Dialogue Training Dataset
Mental Health & Wellness
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides real-life conversations focused on mental health concerns, ideal for developing accurate and informative models to assist individuals seeking support for their mental well-being. It includes statements or questions forming the conversation context and expert responses from mental health counselors. The dataset serves as a valuable resource for generating insights and guidance across various aspects of mental health, facilitating the creation of AI-based tools and enhancing professional counselling techniques.
Columns
The dataset is provided as a CSV file,
train.csv, and features two key columns:- Context: This column contains the initial statements or questions that establish the overall context of the conversation, specifically addressing mental health issues.
- Response: This column holds the corresponding replies delivered by a trained mental health counsellor, designed to address and support individuals within the given context.
Distribution
The dataset is supplied in a CSV file format named
train.csv. It is structured with two primary columns, "Context" and "Response". Specific numbers for rows or records are not detailed in the provided information, but the "Context" column contains 2480 unique values.Usage
This dataset is well-suited for a variety of applications:
- Chatbot Development: Utilise it as a training resource for building AI-based mental health chatbots capable of generating relevant responses.
- Sentiment Analysis: Apply sentiment analysis techniques to individually or comparatively analyse both the context and response columns.
- Topic Modelling: Extract hidden topics within conversations using Natural Language Processing (NLP) methods such as Latent Dirichlet Allocation (LDA) or Non-Negative Matrix Factorization (NMF).
- Machine Learning Applications: Classify conversations into different mental health concern categories or train models to generate appropriate responses based on given contexts using approaches like sequence-to-sequence models or transformers.
- Research: Analyse to gain insights into common questions, concerns, and themes related to mental health, aiding the understanding of individuals' needs.
- Improving Counselling Techniques: Mental health professionals can study successful counselling responses to enhance their skills or develop training programmes.
Coverage
The dataset is of a global region. It does not include specific dates or timeframes associated with the conversations, which helps ensure privacy and confidentiality for both the individuals and counsellors involved. It contains sensitive information related to mental health, so ethical considerations, including anonymisation, are vital when using this data for research or practical applications.
License
CCO
Who Can Use It
- Professionals in the mental health field.
- Researchers studying mental health conversations and interventions.
- Developers creating AI-based mental health chatbots and virtual assistants.
- Mental health professionals looking to enhance their counselling skills or develop training programmes.
Dataset Name Suggestions
- Amod Mental Health Counselling Conversations
- Mental Health Dialogue Training Data
- Counselling Conversation Dataset
- Mental Well-being Support Conversations
- AI Mental Health Chatbot Training Data
Attributes
Original Data Source: Amod Mental Health Counseling Conversations
QUALITY