---
license: apache-2.0
task_categories:
- text-generation
language:
- en
- hi
tags:
- tokens
- skt-ai-labs
- indian-llm
- distilled
- logic
- st-tokens
- project-surya
pretty_name: SKT-TOKENS
size_categories:
- 100B-1T
---

### <span style="color:#FF9933; font-size:18px;">🇮🇳</span> <span style="color:#FFFFFF;">SOVEREIGN</span> <span style="color:#138808; font-size:18px;">INDIAN INTELLIGENCE</span> <span style="color:#FF9933;">🇮🇳</span>

<div style="background: linear-gradient(90deg, #FF9933 0%, #FFFFFF 33%, #138808 66%, #FF9933 100%); height: 6px; margin: 8px 0 15px 0; border-radius: 3px;"></div>

### <span style="color:#FF4500; font-size:46px; font-weight:bold;">🔥 SKT AI LABS 🔥</span>

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  <text x="50%" y="50%" dy=".35em" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="32" font-weight="bold" fill="url(#rainbow)" opacity="1">
    SKT AI LABS 
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  </text>
  
  <text x="50%" y="80%" dy=".35em" text-anchor="middle" font-family="Courier New, monospace" font-size="18" fill="#888" opacity="1">
    The Sovereign AI for India
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  </text>
</svg>

<p align="center">
  <img src="https://huggingface.co/spaces/sKT-Ai-Labs/README/resolve/main/-p7u27d.jpg" width="380" style="border-radius: 25px; border: 3px solid #3b82f6; box-shadow: 0 10px 30px rgba(0,0,0,0.5);">
</p>

<p align="center">
<span style="background:#FF9933; color:#000; padding:8px 22px; border-radius:40px; font-weight:bold; font-size:14px; margin:5px 5px; display:inline-block;">🇮🇳 MADE IN BHARAT</span>
<span style="background:#FF4500; color:#fff; padding:8px 22px; border-radius:40px; font-weight:bold; font-size:14px; margin:5px 5px; display:inline-block;">🧬 SKT-TOKENS</span>
<span style="background:#00D2FF; color:#000; padding:8px 22px; border-radius:40px; font-weight:bold; font-size:14px; margin:5px 5px; display:inline-block;">LOGIC CORE</span>
<span style="background:#FFFFFF; color:#000; padding:8px 22px; border-radius:40px; font-weight:bold; font-size:14px; margin:5px 5px; border:2px solid #FF9933; display:inline-block;">500 GB+</span>
<span style="background:#138808; color:#fff; padding:8px 22px; border-radius:40px; font-weight:bold; font-size:14px; margin:5px 5px; display:inline-block;">Knowlege Booster</span>
</p>

# 🔱 **SKT-Ai-Labs/SKT-TOKENS**

**SKT-TOKENS** ek high-density, logic-distilled dataset hai jo **SKT AI LABS** dwara "Project Surya" aur anya Sovereign Indian LLMs ke liye curate kiya gaya hai. Isme raw intelligence ko distilled format mein store kiya gaya hai taaki training efficiency maximum ho sake aur model ki cognitive abilities global standards ko touch karein.

---

## 🛰️ **Dataset Details**

| **Attribute** | **Details** |
|:---|:---|
| **Organization** | **SKT AI LABS** 
| **Project** | Part of **Sovereign Indian LLM Initiative** |
| **Data Type** | High-Quality Logic-Distilled Tokens |
| **Languages** | English + Multi-Context **Hinglish** (Indian Nuances) |
| **Architecture** | Optimized for **SKT-Logic-MoE** |
| **Total Size** | **500 GB+** (Compressed) |
| **License** | Apache 2.0 |

---

## 🔱 **Key Features**

- **Pure Logic Distillation:** Junk data ko filter karke sirf un sequences ko rakha gaya hai jo reasoning aur multi-step logic ko promote karte hain.
- **Sovereign Bharat Context:** Bharat ke unique context, technical Hinglish, aur regional reasoning styles ko priority di gayi hai.
- **MoE-Ready Structure:** Ye dataset Project Surya jaise Mixture-of-Experts architectures ke liye expert routing aur load balancing ke hisaab se designed hai.
- **Zero Hallucination Focus:** Data curation mein fact-checking aur logical consistency par focus kiya gaya hai taaki hallucinations minimal rahein.

---

## 🚀 **How to Use**

Is dataset ko load karne ke liye niche diya gaya code use karein:

```python
from datasets import load_dataset

# Streaming mode recommended for large datasets
dataset = load_dataset("SKT-Ai-Labs/SKT-TOKENS", streaming=True)

for sample in dataset["train"]:
    print(sample)
    break

```
## 🛠️ **Technical Specifications**
 * **Format:** Columnar Parquet (Fast read/write)
 * **Token Density:** Extremely high (Logic-focused)
 * **Training Compatibility:** Multi-node, Multi-GPU ready (Distributed Training)

## <div style="background: linear-gradient(90deg, #FF9933 0%, #FFFFFF 33%, #138808 66%, #FF9933 100%); height: 6px; margin: 40px 0 15px 0; border-radius: 3px;"></div
**Developed with ❤️ by SKT AI LABS** **Empowering Bharat with Sovereign Intelligence** 🇮🇳

## **Citation**
```bibtex
@misc{skt-ai-labs-2026-skt-tokens,
  title = {SKT-TOKENS: High-Density Logic Distilled Dataset for Sovereign Indian LLMs},
  author = {SKT AI LABS},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{[https://huggingface.co/datasets/SKT-Ai-Labs/SKT-TOKENS](https://huggingface.co/datasets/SKT-Ai-Labs/SKT-TOKENS)}}
}