100K English Instruction Tuning Dataset – General Domain SFT for LLM Fine-Tuning

LLM fine-tuning dataset

supervised fine-tuning

SFT dataset

English instruction tuning data

general domain LLM data

AI model fine-tuning

instruction-following training data

GPT tuning dataset

100,000 Fine-Tuning Text Dataset for English LLM General Domain SFT is a high-quality supervised fine-tuning corpus designed to optimize instruction-following capabilities in large language models. Each data point is double-verified by experienced linguistic professionals and AI engineers to ensure relevance, clarity, and effectiveness in improving model alignment and response precision. The dataset supports instruction tuning tasks across a wide range of general knowledge domains and is compatible with leading open-source LLMs such as LLaMA, Falcon, GPT-NeoX, and Mistral. Ideal for use in alignment, safety tuning, and instruction-based generation enhancement, this dataset offers a robust foundation for model adaptation and performance improvement. All data complies with global data usage and privacy standards.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.