In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Example Input: Our system was ranked second in the competition only 0.3 BLEU points behind the winning team UPC-TALP. The relative low BLEU and high TER scores obtained by all teams are due to out-of-domain data provided in the competition which made the task equally challenging to all participants. The fact that out-of-domain data was provided by the organizers resulted in a challenging but interesting scenario for all participants.
Example Output: Does the use of out-of-domain data improve the performance of the method?

Example Input: The model consists of one layer of LSTM followed by three dense layers. The LSTM layer uses a dropout value of 0.2.
Example Output: Do they use dropout?

Example Input: Note that ESIM models have two LSTM layers, the first (input) LSTM performs the input encoding and the second (inference) LSTM generates the representation for inference.
Example Output:
How many layers are there in their model?