# Use the dictionaty tag$\_$map passed as an argument to the Label$\_$vectorizer function

# to make the correspondence between tags and numbers.

element$\_$ids $=$ None

for token in tokens:

element$\_$ids.append$($None$)$

# Append the found ids to corresponding to the current element to label$\_$ids list

label$\_$ids.append$($None$)$

label$\_$ids $=$ np$.$array$($element$\_$ids$)$

# Pad the elements

label$\_$ids $=$ None

### END CODE HERE ###

return label$\_$ids

In $[16]$: $,$ print$($f$"$Sentence: $\{$train$\_$sentences$[5]\}")$

print$($f$"$Labels: $\{$train$\_$labels$[5]\}")$

print$($f$"$Vectorized labels: $\{$label$\_$vectorizer$([$train$\_$labels$[5]],$ tag$\_$map$)\}")$