In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
Example: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from a famous Chinese social media microblogging service Weibo.  
 Question: Are results reported only for English data?
Example solution: No
Example explanation: Based on the context, the dataset is constructed from a famous Chinese social media microblogging service Weibo.

Problem: Our ASR and ST models follow the architecture in berard2018end, but have 3 decoder layers like that in pino2019harnessing. 
 Question: What is the architecture of their model?

Solution: follow the architecture in berard2018end, but have 3 decoder layers like that in pino2019harnessing