The fake labels in this dataset "new_ternary_compositions.csv" are random numbers sampled from Uniform distribution.
We create these fake labels just to have a uniform data format so that we don't need to revise codes of our model. You should only use the output prediction numpy file and ignore the fake label numpy file. The testing MAE is calculated with the fake labels, and just also can be ignored.
