In the previous work of <cite>Ma, Jurczyk, and Choi [2018]</cite> , they used a random data split where 1,187 of 1,349 queries in the development set and 1,207 of 1,353 queries in the test set are generated from the same plot summaries as some queries in the training set with only masking the different character entities which makes the model can see the right answer in the training set.