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: While the dataset was collected with simulated environments, no structure was imposed on the navigation instructions while crowd-sourcing data. Thus, many instructions in our dataset are ambiguous. Moreover, the order of the behaviors in the instructions is not always the same. For instance, a person said “turn right and advance” to describe part of a route, while another person said “go straight after turning right” in a similar situation. The high variability present in the natural language descriptions of our dataset makes the problem of decoding instructions into behaviors not trivial. See Appendix A of the supplementary material for additional details on our data collection effort.
Example Output: What language is the experiment done in?

Example Input: We used the Twitter definition of hateful conduct in the first survey. This definition was presented at the beginning, and again above every tweet.
Example Output: What definition was one of the groups was shown?

Example Input: Both beat the non-attention baseline by a significant margin. For the attention baseline, we use the standard parametrized attention BIBREF2 .
Example Output:
Which baseline methods are used?