instruction:
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
question:
For our study, we consider that a tweet went viral if it was retweeted more than 1000 times. 
 Question: What is their definition of tweets going viral?
answer:
Abstractive


question:
As a result, transfer training with only 1000 hours data can match equivalent performance for full training with 7300 hours data. 
 Question: how small of a dataset did they train on?
answer:
Extractive


question:
The task presented here was easy and simple to analyze, however, future work may be done on natural language tasks. If these properties hold it might indicate that a new evaluation paradigm for NLP should be pushed; one that emphasizes performance on uncharacteristic (but structurally sound) inputs in addition to the data typically seen in training. 
 Question: Can the findings of this paper be generalized to a general-purpose task?
answer:

Yes-no