In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Q: Each passage was labelled by 3 unique annotators.
Question: How many annotators were there?

A: 3
****
Q: The corpus used for sentiment analysis is the IMDb dataset of movie reviews by BIBREF11 while that for NER is Groningen Meaning Bank (GMB) by BIBREF12, containing 47,959 sentence samples.
Question: What sentiment analysis dataset is used?

A: IMDb dataset of movie reviews
****
Q: We apply the Generative Pre-trained Transformer (GPT) BIBREF2 as our pre-trained language model.
Question: What pretrained LM is used?

A:
Generative Pre-trained Transformer (GPT)
****