Here is the processed dataset for our publication, "BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction." The purpose of proposing this data is to facilitate battery life prediction research. It is also possible to use the processed datasets for other battery informatics tasks. This dataset consists of four sub-datasets: Li-ion, Zn-ion, Na-ion, and CALB datasets. It includes 998 batteries, 8 different battery formats, 80 different chemical systems, 12 different operation temperatures, and 646 different charge/discharge protocols in a uniform data format. Other details can be found in README.md in each sub-dataset. The official repository for preprocessing and benchmarking is available at: Ruifeng-Tan/BatteryLife: The official BatteryLife repository (github.com). If you use the data, you should cite the BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction and the original papers that produced the data. The updated code of conduct is shown in the repository. If you are interested in contributing, please contact us via email at rtan474@connect.hkust-gz.edu.cn and whong719@connect.hkust-gz.edu.cn.