instruction:
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.
question:
According the distribution of the sentiment score, the sentiment on Tesla is slightly skewed towards positive during the testing period.
answer:
Do the authors give any examples of major events which draw the public's attention and the impact they have on stock price?


question:
We acquired the data in two rounds of annotation. In the first one, we were looking for original and uncommon sentence change suggestions.
answer:
How do they introduce language variation?


question:
After adversarial modifications, the performance of the original target models (those without the “-adv” suffix) drops dramatically (e.g. the overall accuracy of BERT on Quora drops from 94.6% to 24.1%), revealing that the target models are vulnerable to our adversarial examples.
answer:

How much dramatically results drop for models on generated adversarial examples?