multi-target regression

you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_multioutput_paper. 

EDM: The Electrical Discharge Machining dataset (Karalic and Bratko 1997) represents a two-target regression problem. The task is to shorten the machining time by reproducing the behaviour of a human operator that controls the values of two variables. Each of the target variables takes 3 distinct numeric values ( -1,0,1 ) and there are 16 continuous input variables.

you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_multioutput_paper. 

EDM: The Electrical Discharge Machining dataset (Karalic and Bratko 1997) represents a two-target regression problem. The task is to shorten the machining time by reproducing the behaviour of a human operator that controls the values of two variables. Each of the target variables takes 3 distinct numeric values ( -1,0,1 ) and there are 16 continuous input variables.

Mulan , a sourceforge net multi-target dataset available in www.openml.org. Despite the numerous interesting applications of MTR, there are only few publicly available datasets of this kind - perhaps because most applications are industrial - and most experimental evaluations of MTR methods are based on a limited amount of datasets. For this study, much effort was made for the composition of a large and diverse collection of benchmark MTR datasets.