how to understand the vector 'col hot type'?
maybe it is an useful information, but I don't understand how it relates to the corresponding column?
How did you come up with this representation, is it a simple and efficient way?
Looking forward to your answer,thanks.
'What are the official names of cities that have hosted more than one competition?'
how to understand the vector 'col hot type'? maybe it is an useful information, but I don't understand how it relates to the corresponding column? How did you come up with this representation, is it a simple and efficient way? Looking forward to your answer,thanks.
'What are the official names of cities that have hosted more than one competition?'
src_sent = [['what'], ['are'], ['column', 'official', 'name'], ['of'], ['table', 'city'], ['that'], ['have'], ['hosted'], ['more'], ['than'], ['one'], ['competition'], ['?']]
tab_cols = [['count', 'number', 'many'], ['city', 'id'], ['official', 'name'], ['status'], ['area', 'km', '2'], ['population'], ['census', 'ranking'], ['farm', 'id'], ['year'], ['total', 'horse'], ['working', 'horse'], ['total', 'cattle'], ['ox'], ['bull'], ['cow'], ['pig'], ['sheep', 'and', 'goat'], ['competition', 'id'], ['theme'], ['host', 'city', 'id'], ['host'], ['rank']]
col_hot_type = [[0. 0. 0. 0.], [1. 0. 0. 0.], [2. 5. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.], [1. 0. 0. 0.], [0. 0. 0. 0.], [1. 0. 0. 0.], [0. 0. 0. 0.], [0. 0. 0. 0.]]