CALVIN provides a PyTorch-based simulated environment for long-horizon robot manipulation tasks conditioned on natural language instructions. The benchmark evaluates agents on composing actions from language and vision, supporting flexible sensor suites. It won the 2022 IEEE RA-L Best Paper Award and serves as a testbed for vision-and-language policy learning research.