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Here we present a catalog of 12,993 photometrically-classified supernova-likelight curves from the Zwicky Transient Facility, along with candidate hostgalaxy associations. By training a random forest classifier onspectroscopically classified supernovae from the Bright Transient Survey, weachieve an accuracy of 80% across four supernova classes resulting in a finaldata set of 8208 Type Ia, 2080 Type II, 1985 Type Ib/c, and 720 SLSN. Our workrepresents a pathfinder effort to supply massive data sets of supernova lightcurves with value-added information that can be used to enable population-scalemodeling of explosion parameters and investigate host galaxy environments.

Supernova host galaxy association and photometric classification of over 10,000 light curves from the Zwicky Transient Facility