Toy1D is a synthetic dataset of one-dimensional time series. The series represents a damped physical system with external influences. We designed it for the study of computational world models, a computational system that makes predictions about the current and future state of a "world" based on the sensory data it receives, but inferring the internal structure of that world. It is designed to be simple, while requiring the ability to infer information about the signal to predict its future. World Machine is a research project that investigates the concept and creation of computational world models. These AI systems create internal representations to understand and make predictions about the external world. See the project page for more information. The project is part of the H.IAAC, the Hub for Artificial Intelligence and Cognitive Architecture, located at the Universidade Estadual de Campinas (UNICAMP), Brazil. The files in this registry are organized by file extension. Each extension contains: pkl: dataset data svg: figure with dataset generation pipeline