81 lines
1.5 KiB
Markdown
81 lines
1.5 KiB
Markdown
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---
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library_name: transformers
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datasets:
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- Gragroo/psy_conv_v1_gpt1
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- Gragroo/psy_conv_v1_gpt2
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- Gragroo/psy_conv_v1_gpt3
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- psycode1/psyset
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- Gragroo/psychology-question-answer_psygpt_format
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- nayaksomkar/PsychologyQualityDataset
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language:
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- en
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base_model:
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- unsloth/Qwen3-0.6B
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---
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# 🧠 Psychology Quality Dataset
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> A curated, cleaned dataset for training AI models on psychology and mental health conversations.
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---
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## 📌 Overview
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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.
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---
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## 🔗 Dataset
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https://huggingface.co/datasets/nayaksomkar/PsychologyQualityDataset
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---
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## 📊 Sources
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- Gragroo/psy_conv_v1_gpt1
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- Gragroo/psy_conv_v1_gpt2
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- Gragroo/psy_conv_v1_gpt3
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- psycode1/psyset
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- Gragroo/psychology-question-answer_psygpt_format
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---
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## 🔧 Processing
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- Standardized to `user/assistant` format
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- Removed duplicates
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- Filtered harmful content (e.g., self-harm, violence)
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- Kept therapeutic responses (e.g., support, anxiety, coping)
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---
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## 📁 Format
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```json
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{
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"conversations": [
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{"role": "user", "content": "..."},
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{"role": "assistant", "content": "..."}
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]
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}
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````
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---
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## 🎯 Use Cases
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* Mental health chatbots
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* Therapy-style AI assistants
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* Psychology NLP research
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---
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## ⚠️ Note
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Not a substitute for professional medical advice. Use with safety mechanisms in production.
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---
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## 📜 License
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Refer to original datasets for licensing.
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