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language:
- en
license: mit
task_categories:
- text-generation
tags:
- conversational
- emotional-intelligence
- empathy
- gen-z
- mental-health
- small-models
- gguf
- lora
size_categories:
- 1K<n<10K
pretty_name: DiaChat Dataset
---
# DiaChat Dataset
## Dataset Summary
The **DiaChat Dataset** is a curated conversational dataset designed to fine-tune **very small language models (≈270M parameters)** to behave as a warm, emotionally intelligent, Gen Z–style conversational companion called **Dia**.
This dataset focuses on **tone, empathy, and emotional awareness**, rather than reasoning, knowledge recall, or task completion.
It is suitable for **client-side, offline, and privacy-first AI systems**.
---
## Supported Tasks
- Conversational response generation
- Emotion-aware dialogue
- Empathetic text generation
---
## Languages
- English (`en`)
---
## Dataset Structure
Each example contains four fields:
- `system`: Defines Dia’s persona and conversational style
- `user`: The user’s message
- `context`: Natural-language emotional metadata
- `assistant`: Dia’s empathetic response
### Example
```text
system: You are "Dia" — a warm, emotionally intelligent, Gen Z-style friend.
user: I feel like everyone’s doing better than me lately.
context:
Emotion detected: sadness
User tone: self-critical
assistant: Yeah… that comparison spiral hits hard. But your life isn’t behind — it’s just on its own timeline.
```
---
## Emotion Coverage
The dataset spans a broad emotional range, including:
- sadness
- anxiety
- self-doubt
- loneliness
- burnout
- pride
- frustration
- numbness
- overthinking
- neutral / conversational moods
This ensures the assistant does not feel crisis-only or clinical.
---
## Intended Use
### Recommended
- LoRA / QLoRA fine-tuning
- Small and quantized language models (Gemma, Phi-style, Qwen-small)
- GGUF-based inference pipelines
- Emotion-first conversational agents
### Not Recommended
- Medical, psychological, or clinical diagnosis
- Crisis intervention systems
- Decision-making or advisory systems
---
## Bias, Risks, and Limitations
- The dataset reflects a **Gen Z conversational tone** and may not generalize to other demographics.
- Responses are intentionally non-directive and may not satisfy users seeking explicit advice.
- The dataset should **not** be used as a replacement for professional mental health support.
---
## Dataset Creation
- Manually curated and generated with strict style constraints
- Emphasis on consistency over scale
- Context provided as plain natural language for GGUF compatibility
---
## Licensing
This dataset is released for **research and experimental use only**.
Use responsibly and with appropriate safeguards.
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