anupamaditya/dia-therapy-dataset

Dia Psychology Dataset

📚 Dataset Overview

The Dia Psychology Dataset is designed to train and evaluate AI models specializing in mental health conversations. It contains 9,850 structured question-answer pairs covering a broad spectrum of psychological topics. This dataset is ideal for building chatbots, virtual assistants, and AI models that provide empathetic and GenZ-friendly mental health support.

🛠 Data Collection & Processing

• —The dataset consists of realistic mental health Q&A pairs, designed to reflect counseling-style conversations.
• —Responses are concise (2-3 sentences), empathetic, and engaging, incorporating GenZ expressions for better relatability.
• —It is optimized for fine-tuning language models focused on mental health applications, ensuring ethical AI interactions.

📊 Dataset Characteristics

• —Total Rows: 9,846
• —Topics Covered: 💔 Relationships, 😟 Anxiety, 😔 Depression, 🧠 Therapy Guidance, 💬 Emotional Well-being, and other psychological themes.
• —Language: English 🇺🇸
• —Response Style: Concise (2-3 sentences), empathetic, and engaging.
• —Intended Usage: AI chatbots, virtual therapy assistants, and mental health dialogue systems.

🤖 Dataset Usage

This dataset is ideal for training mental health-focused conversational AI models, including:

• —Chat moderators for safe and supportive discussions.
• —AI chatbots that provide mental health guidance.
• —AI-powered counseling assistants for self-help applications.

🌍 Dataset Limitations

• —Not a substitute for professional medical advice. It is meant only for mental health discussions and should not be used for clinical diagnosis.
• —English-only dataset, which may limit cultural and linguistic diversity in responses.

✨ Acknowledgments

This dataset was created to support research and development in AI-driven mental health support. Contributions and improvements are welcome!

For more details, visit the dataset on Hugging Face.