Use easy-dataset when an agent needs to transform raw source material into publishable training, retrieval, or evaluation datasets. The skill boundary is tight: ingest mixed documents, segment them intelligently, clean and structure the outputs, then produce artifacts ready for fine-tuning, RAG ingestion, or benchmark-style eval work. This is not a generic LLM platform listing. The value is the operator workflow of converting messy inputs into usable dataset assets at the point where a team would otherwise hand-roll parsing, chunking, and curation steps for each project.