nassimjp/Sindhi-Reasoning-Chat-Dataset

# 📘 **Sindhi‑Reasoning‑Chat‑Dataset**

A high‑quality, reasoning‑focused, instruction‑tuned conversational dataset for Sindhi (سنڌي), designed to support modern NLP research and LLM training for one of South Asia’s most underrepresented languages.

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## 🧠 **Dataset Summary**
Sindhi is a **low‑resource South Asian language** spoken by **over 30 million people**, primarily in Sindh, Pakistan. Despite its rich cultural and literary heritage, Sindhi has **very limited publicly available datasets** suitable for training modern large language models.

The **Sindhi‑Reasoning‑Chat‑Dataset** provides:

- Multi‑turn chat conversations  
- Reasoning‑oriented assistant responses  
- Clean system/user/assistant message structure  
- Native Sindhi text  
- High‑quality synthetic responses  
- Culturally accurate and linguistically correct content  

This dataset is ideal for **SFT**, **instruction tuning**, **reasoning tasks**, and **Sindhi chatbot development**.

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## 🌍 **Motivation**
Sindhi, like Pashto and Balochi, suffers from a severe lack of:

- Labeled datasets  
- Conversational corpora  
- Reasoning‑focused text  
- Instruction‑tuning material  

Modern LLMs require structured chat data, but Sindhi has almost none available publicly.  
This dataset aims to:

- Reduce the low‑resource gap  
- Enable Sindhi‑capable LLMs  
- Support multilingual and cross‑lingual research  
- Provide a foundation for Sindhi reasoning benchmarks  
- Encourage further dataset creation for South Asian languages  

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## 📜 **Attribution Notice (CC BY 4.0 Compliance)**  
This dataset uses *question text* derived from:

**Source Dataset:**  
**alinawazmahar/Sindhi_Sentiment_dataset**  
**License:** Creative Commons Attribution 4.0 International (CC BY 4.0)  
**Author:** Alina Nawaz Mahar  
**URL:** [https://huggingface.co/datasets/alinawazmahar/Sindhi_Sentiment_dataset](https://huggingface.co/datasets/alinawazmahar/Sindhi_Sentiment_dataset)

Only the **text field** was used as question seeds.  
All **assistant responses**, **reasoning**, **system prompts**, and **chat structures** are **newly generated** and **not part of the original dataset**.

To maintain license compatibility, this dataset is released under **CC BY 4.0**.

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## 📦 **Dataset Structure**
Each entry follows a consistent chat format:

```json
{
  "id": 0,
  "messages": [
    {"role": "system", "content": "..."},
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ]
}

Fields

• id — unique integer
• messages — list of chat messages
  • role — system | user | assistant
  • content — Sindhi text

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🔍 Data Sources

• User questions: Derived from CC BY 4.0 licensed Sindhi_Sentiment_dataset
• Assistant responses: Fully synthetic, reasoning‑oriented, culturally accurate
• System prompts: Custom‑designed for Sindhi chat behavior

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🧪 Use Cases

This dataset is suitable for:

• Sindhi chatbots
• Instruction‑tuned LLMs
• Reasoning and chain‑of‑thought modeling
• Cultural and linguistic evaluation
• Multilingual transfer learning
• Benchmark creation
• SFT / RLHF pipelines

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⚖️ Limitations

• Synthetic responses may not represent all dialects
• Dataset focuses on reasoning and chat, not general Sindhi corpus coverage
• Cultural nuance is respected but may vary regionally
• Should be combined with real Sindhi corpora for robust training

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🛡️ Ethical Considerations

• No harmful, political, or biased content included
• No real personal data
• Designed for safe, culturally respectful model behavior
• Attribution requirements of CC BY 4.0 are fully met

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🔧 Technical Notes

• Format: JSONL
• Encoding: UTF‑8
• Compatible with:
  • HuggingFace Transformers
  • Unsloth Studio
  • Talanda pipelines
  • LMDB sharding
  • SFT / RLHF frameworks

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📜 License

This dataset is released under:

Creative Commons Attribution 4.0 International (CC BY 4.0)

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🏷️ Tags

• sindhi
• low‑resource
• south‑asian
• reasoning
• chat
• instruction‑tuning
• sft
• multilingual
• synthetic‑data

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📈 Benchmarks

This dataset can be used to create:

• Sindhi reasoning benchmarks
• Sindhi instruction‑following tests
• Multilingual evaluation sets
• Cross‑lingual transfer learning experiments

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💻 Example Usage

from datasets import load_dataset

ds = load_dataset("nassimjp/Sindhi-Reasoning-Chat-Dataset")

print(ds[0]["messages"])

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📚 Citation

@dataset{nassimjp_sindhi_reasoning_chat_2026,
  author       = {Nassimjp},
  title        = {Sindhi-Reasoning-Chat-Dataset},
  year         = {2026},
  publisher    = {HuggingFace Datasets},
  license      = {CC-BY-4.0},
  url          = {https://huggingface.co/datasets/nassimjp/Sindhi-Reasoning-Chat-Dataset}
}

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