Duplicate from Srijan-Chakraborty/Universal-Chat-SFT-Dataset

Co-authored-by: Srijan Chakraborty <Srijan-Chakraborty@users.noreply.huggingface.co>

.gitattributes

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+*.parquet filter=lfs diff=lfs merge=lfs -textformatted_dataset.jsonl filter=lfs diff=lfs merge=lfs -text
+formatted_dataset.jsonl filter=lfs diff=lfs merge=lfs -text

.gitignore

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+__pycache__/
+*.pyc
+.ipynb_checkpoints/
+.DS_Store
+Thumbs.db

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- text-generation
+language:
+- en
+pretty_name: Universal Chat SFT Dataset
+size_categories:
+- 1K<n<10K
+tags:
+- chat
+- sft
+- instruction-tuning
+- conversational-ai
+- llm
+- dialogue
+- synthetic
+viewer: true
+---
+
+# Universal-Chat-SFT-Dataset
+
+A large-scale multi-turn conversational dataset designed for supervised fine-tuning (SFT) of modern Large Language Models (LLMs).
+
+The dataset follows the OpenAI-style chat format with structured `messages`, making it directly compatible with most modern LLM training frameworks including Hugging Face Transformers, TRL, Axolotl, Unsloth, LlamaFactory, and custom fine-tuning pipelines.
+
+---
+
+# Features
+
+✅ Multi-turn conversations
+
+✅ OpenAI-compatible chat message format
+
+✅ System, User and Assistant roles
+
+✅ Ready for supervised fine-tuning
+
+---
+
+# Supported Models
+
+This dataset can be used for supervised fine-tuning of chat models including:
+
+- Llama 3
+- Qwen 2 / 2.5 / 3
+- Mistral
+- Gemma
+- Phi
+- DeepSeek
+- Falcon
+- GPT-style decoder-only models
+- Any instruction-tuned causal language model
+
+---
+
+# Dataset Schema
+
+Each row contains one complete conversation.
+
+| Column | Type | Description |
+|----------|--------|----------------|
+| id | string | Conversation identifier |
+| system | string | System prompt for the conversation |
+| messages | list | Complete conversation |
+
+---
+
+## Conversation Format
+
+```json
+{
+  "id": "conv_000001",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a helpful AI assistant."
+    },
+    {
+      "role": "user",
+      "content": "..."
+    },
+    {
+      "role": "assistant",
+      "content": "..."
+    }
+  ]
+}
+```
+
+---
+
+# Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset(
+    "Srijan-Chakraborty/Universal-Chat-SFT-Dataset"
+)
+
+print(dataset)
+```
+
+---
+
+# Intended Use
+
+This dataset is intended for:
+
+- Supervised Fine-Tuning (SFT)
+- Instruction Tuning
+- Conversational AI
+- Chatbot Training
+- Dialogue Modeling
+- LLM Alignment
+- Benchmarking
+- Research
+- Education
+
+---
+
+# Compatibility
+
+The dataset is directly compatible with:
+
+- Hugging Face Transformers
+- Hugging Face Datasets
+- TRL
+- Axolotl
+- Unsloth
+- LlamaFactory
+- vLLM preprocessing
+- Custom PyTorch pipelines
+
+---
+
+# Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@misc{universal_chat_sft_dataset,
+  author = {Srijan Chakraborty},
+  title = {Universal-Chat-SFT-Dataset},
+  year = {2026},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/Srijan-Chakraborty/Universal-Chat-SFT-Dataset}
+}
+```
+
+---
+
+# Author
+
+**Srijan Chakraborty**
+
+GitHub:
+https://github.com/SrijanChakraborty2003
+
+Hugging Face:
+https://huggingface.co/Srijan-Chakraborty
+
+---
+
+# License
+
+This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
+
+Users are free to share and adapt the dataset for any purpose, including commercial use, provided appropriate attribution is given.
+
+For the full license text, see:
+
+https://creativecommons.org/licenses/by/4.0/

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