LEAVES built a compatible light curve dataset based on the open data of the All-Sky Automated Survey for SuperNovae (ASAS-SN) Catalog of Variable Stars X, Gaia Data Release 3, and Zwicky Transient Facility (ZTF) Data Release 2. LEAVES obtains time-series photometric data from the original data. The light curve of each object contains three attributes: observation time, magnitude, and magnitude error. LEAVES can be used to train and test variable star classifiers. Experimental results prove that the classifier is more compatible than the classifier established based on a single survey, and has wider applicability while ensuring classification accuracy. DR1 contains a total of 977,953 light curves of 9 types of variable stars and 134,592 light curves of non-variable stars. The 9 classes variables include Detached Algol-type binaries (EA), W Ursae Majoris type binaries (EW), Rotational variables (ROT), Fundamental Mode RR Lyrae variables(RRAB), First Overtone RR Lyrae variables (RRC), Cepheids (CEP), Semi-regular variables (SR), Mira variables (M), Delta Scuti variable stars (DSCT).