To collect a set of labels with many buzzes, we focused on the 1186 labels with more than four distinct questions.
we shuffled the labels into a canonical order shown to all users (e.g., everyone saw a question on "Jonathan Swift" and then a question on "William Jennings Bryan", but because these labels have many questions the specific questions were different for each user).