Across the literature of artificial intelligence, especially machine learning, it is normal to treat the tuples of datasets as vectors.
Although there is a convention to treat them as data points. Treating them as vectors is also considerable.
It is easy to understand the tuples of datasets as points over space. But what is the purpose of treating them as vectors?