The CLEF 2026 SimpleText track aims to make scientific information more accessible to a broader audience. We extended the biomedical text simplification corpus, based on aligned Cochrane abstracts and plain-language summaries. We also create a new resource to identify and classify overgeneration and other information distortions in the output of generative AI models. Finally, we included a pilot task on research area classification. This paper presents an overview of the CLEF 2026 SimpleText Track. Task 1 focuses on Text Simplification, aiming to make complex scientific texts easier to understand. Task 2 addresses Controlled Creativity, emphasizing the detection, classification, and avoidance of hallucinations in generated content. Task 3 is a pilot task on scientific field and discipline classification. We discuss the data and benchmarks provided for these tasks, along with preliminary insights and anticipated challenges.