Before revision:  Hence in this article, we strive to give a comprehensive and open access review of SLAM related datasets and evaluation, which are scarcely surveyed while highly demanded by researchers and engineers, looking forward to serving as not only a dictionary but also a development proposal. The paper starts with the methodology of dataset collection, and a taxonomy of SLAM related tasks. Then followed with the main portion - comprehensively survey the existing SLAM related datasetsby category with our considerate introductions and insights. Furthermore, we talk about the evaluation criteria, which are necessary to quantify the algorithm performance on the dataset and inspect the defects.
After revision:  Hence in this article, we strive to give a comprehensive and open access review of SLAM related datasets , including general collection methodology and fundamental characteristic dimensions, SLAM related tasks taxonomy and datasets categorization, introduction of state-of-the-arts, overview and comparison of existing datasets, review of evaluation criteria, which are necessary to quantify the algorithm performance on the dataset and inspect the defects.