dataset = dataset.remove_columns(['question_type', 'question_id', 'answer_type'])

As you can see, the label feature contains several answers to the same question (called ids here) collected by different human annotators. 
This is because the answer to a question can be subjective. In this case, the question is "where is he looking?". Some people 
annotated this with "down", others with "at table", another one with "skateboard", etc. 
Take a look at the image and consider which answer would you give:
thon