An optimization problem involving perceptron
The perceptron receives a $n$ number of $m$-dimensional vectors, so, $x^{i} \in \ R^{m}\  \forall\ i \in [1,n]$.

To iterate, the dataset has $n$ different examples and each of which has $m$ dimensions. It's not a power notation, it just denotes the $i$th example.