| ---
|
| 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 |
|
| |----------|--------|----------------|
|
| | text | list | Complete conversation |
|
|
|
| ---
|
|
|
| ## Conversation Format
|
|
|
| ```json
|
| {
|
| "text": [
|
| {
|
| "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/ |
