|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- question-answering |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- chat |
|
|
- style |
|
|
- commuication |
|
|
pretty_name: sunny thakur |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
# 🦾 Alpha Chat Style Dataset | darkknight25 |
|
|
|
|
|
Inject **dominance**, **charm**, and **precision** into your LLMs. |
|
|
|
|
|
Crafted by [Sunny Thakur](https://huggingface.co/darkknight25), this dataset is designed to train conversational agents that speak like a leader, think like a tactician, and respond like a professional. |
|
|
|
|
|
> “Control the tone. Command the room. Every word should land like a calculated move.” – Alpha Protocol |
|
|
|
|
|
--- |
|
|
|
|
|
## 🎯 Purpose |
|
|
|
|
|
This dataset enables large language models—like Mixtral 8x7B Instruct—to adopt a **bold, confident, alpha-style communication tone**. Whether you're building a digital assistant, a negotiation agent, or a charming AI strategist, this dataset sharpens your model’s voice. |
|
|
|
|
|
--- |
|
|
|
|
|
## 📐 Dataset Format |
|
|
|
|
|
Each data point is in JSONL format with three key fields: |
|
|
|
|
|
```json |
|
|
{ |
|
|
"instruction": "What the user asks or expects.", |
|
|
"input": "Optional context or supporting detail.", |
|
|
"output": "Charismatic, alpha-toned, precise response." |
|
|
} |
|
|
instruction → Command, question, or situation |
|
|
|
|
|
input → Extra detail (may be empty) |
|
|
|
|
|
output → The refined alpha response |
|
|
``` |
|
|
```json |
|
|
{ |
|
|
"instruction": "How should I negotiate under pressure?", |
|
|
"input": "", |
|
|
"output": "Calm is your weapon. Pressure is theirs. Ask questions. Control the frame. Never chase—set the pace." |
|
|
} |
|
|
``` |
|
|
|
|
|
🧰 Usage |
|
|
|
|
|
Perfect for: |
|
|
|
|
|
💼 Fine-tuning Mixtral or LLaMA-style models |
|
|
|
|
|
🧠 Injecting dominant personality into agents |
|
|
|
|
|
🤖 Custom assistant behavior modeling |
|
|
|
|
|
🎭 Role-based AI personas (leader, strategist, advisor) |
|
|
|
|
|
``` |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("darkknight25/alpha_chat_style_dataset", split="train") |
|
|
``` |
|
|
|
|
|
|
|
|
📊 Specs |
|
|
|
|
|
Format: jsonl |
|
|
|
|
|
Samples: 3603 |
|
|
|
|
|
Style: Alpha, charming, concise |
|
|
|
|
|
Language: English |
|
|
|
|
|
License: MIT |
|
|
|
|
|
|
|
|
👤 Author |
|
|
|
|
|
Sunny Thakur |
|
|
ML Engineer | Cyber Agent | AI Strategist |
|
|
Creator of fine-tuned agents that think sharply and speak powerfully. |
|
|
🔗 https://huggingface.co/darkknight25 |
|
|
|
|
|
🛡 License |
|
|
|
|
|
MIT License – Use freely. Style responsibly. |
|
|
✉️ Contact / Collaborations |
|
|
|
|
|
Want to build the next Bond-style AI? |
|
|
Open to collabs, enhancements, or LoRA deployment support. |
|
|
Message via Hugging Face profile. |
|
|
|
|
|
“Style is power. Inject it wisely.” |