This dataset is an adaptation following the blog from Maxime Labonne on Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth (https://huggingface.co/blog/mlabonne/sft-llama3).
The goal here was to turn the customized dataset into a ShareGPT format with a unique "conversations" column containing messages in JSONL. Unlike simpler formats like Alpaca, ShareGPT is ideal for storing multi-turn conversations, which is closer to how users interact with LLMs.