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.

Ex Input:
In this study, we investigate the performance of our proposed models on WSJ BIBREF5 . 

Ex Output:
Which dataset do they use?


Ex Input:
Before designing this NLP toolkit, we conducted a survey among engineers and identified a spectrum of three typical personas.

Ex Output:
How do the authors evidence the claim that many engineers find it a big overhead to choose from multiple frameworks, models and optimization techniques?


Ex Input:
In this paper we proposed a methodology to identify words that could lead to confusion at any given node of a speech recognition based system. We used edit distance as the metric to identifying the possible confusion between the active words.  There is a significant saving in terms of being able to identify recognition bottlenecks in a menu based speech solution through this analysis because it does not require actual people testing the system.  Actual use of this analysis was carried out for a speech solution developed for Indian Railway Inquiry System to identify bottlenecks in the system before its actual launch.

Ex Output:

what bottlenecks were identified?