This data release is a part of arxiv 2404.15389. If needed, the ipython notebooks to analyse these datasets are availble at https://github.com/deltasata/Unresolved_LSNeIa_in_LSST There are two zip files stemming from two directories. 1. unresolved_catalog: contains the catalogs of lensed type-Ia supernovae (LSNe Ia) -- all and unresolved ones, separately. The notebook at the following path can provides statistics of the unresolved systems (please place the notebook in the same directory).https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/unresolved_stat There are two subdirectories: (i) catalog data: contains two catalogs - one listing all LSNe Ia expected over 10 effective years of LSST observations, and another specifically detailing the unresolved systems. See the "unresolved_catalog/catalog data/read_me.txt" for more details. There is also a subdirectory called "down_sampled_data" which contains details of the downsampled unresolved LSNe Ia systems. It is needed for running the ipython notebook.(ii) save_micro_mag_res: needed for running the ipython notebook. 2. build_blended_lc: contains necessary data files to create blended light curves for the unresolved systems. The subdirectory, "ML_downsampled_data" contains microlensed light curves for the downsampled unresolved LSNeIa. The file "Good_cadence_systems_fiveSigmaDepth_riyz.pkl" contains multi-band cadence distributions from the LSST baseline3.2 observing strategy.The required codes are availble at:https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/build_blended_lcplease put all the codes from the above in the same directory (build_blended_lc). References: Bag, S. et al 2024, arxiv:2404.15389 Oguri, M. & Marshall, P. J. 2010, MNRAS, 405, 2579 Oguri, M. 2018, MNRAS, 480, 3842