This repository is a curated list (``awesome list'' style) of high-quality datasets and tools for LLM fine-tuning, post-training, and alignment. It is not a software application, data pipeline, or research codebase; it contains no executable code, notebooks, or data files. The primary artifact is a README.md that categorizes and links to over 70 external datasets (instruction, preference, multilingual, agent, etc.) and tools for data scraping, filtering, generation, and exploration. The repo serves as a reference guide for practitioners seeking datasets, with a focus on accuracy, diversity, and complexity. It is maintained by Maxime Labonne and has a large number of stars and forks, indicating community value. The repository has no code to analyze, test, or reproduce; its value lies in the curation and annotation of external resources.