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.

Input: Consider Input: According the distribution of the sentiment score, the sentiment on Tesla is slightly skewed towards positive during the testing period.

Output: Do the authors give any examples of major events which draw the public's attention and the impact they have on stock price?


Input: Consider Input: TABREF5 displays the output behavior of models that we damaged to resemble the damage that causes aphasia. Because the output languages in all of our domains use tokens to represent meanings in many cases, it is expected that the analog to Wernicke's area is responsible for maintaining a high precision.

Output: Do they perform a quantitative analysis of their model displaying knowledge distortions?


Input: Consider Input: The UNGA speeches dataset, compiled by Baturo et al. UNGAspeeches, contains the text from 7,507 speeches given between 1970-2015 inclusive.


Output: how many speeches are in the dataset?