---
library_name: transformers
datasets:
- Gragroo/psy_conv_v1_gpt1
- Gragroo/psy_conv_v1_gpt2
- Gragroo/psy_conv_v1_gpt3
- psycode1/psyset
- Gragroo/psychology-question-answer_psygpt_format
- nayaksomkar/PsychologyQualityDataset
language:
- en
base_model:
- unsloth/Qwen3-0.6B
---
# 🧠 Psychology Quality Dataset

> A curated, cleaned dataset for training AI models on psychology and mental health conversations.

---

## 📌 Overview

The **Psychology Quality Dataset** combines multiple Hugging Face datasets into a unified **user/assistant conversational format**, optimized for fine-tuning LLMs in mental health and psychology domains.

---

## 🔗 Dataset

https://huggingface.co/datasets/nayaksomkar/PsychologyQualityDataset

---

## 📊 Sources

- Gragroo/psy_conv_v1_gpt1  
- Gragroo/psy_conv_v1_gpt2  
- Gragroo/psy_conv_v1_gpt3  
- psycode1/psyset  
- Gragroo/psychology-question-answer_psygpt_format  

---

## 🔧 Processing

- Standardized to `user/assistant` format  
- Removed duplicates  
- Filtered harmful content (e.g., self-harm, violence)  
- Kept therapeutic responses (e.g., support, anxiety, coping)  

---

## 📁 Format

```json
{
  "conversations": [
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ]
}
````

---

## 🎯 Use Cases

* Mental health chatbots
* Therapy-style AI assistants
* Psychology NLP research

---

## ⚠️ Note

Not a substitute for professional medical advice. Use with safety mechanisms in production.

---

## 📜 License

Refer to original datasets for licensing.