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:
The resulting dataset consists of 22,880 users, 41,094 blogs, and 561,003 posts. Table TABREF2 presents additional statistics of our dataset.
answer:
How many users do they look at?


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:
In this study, we investigate the efficacy of bias reduction during training by introducing a new loss function which encourages the language model to equalize the probabilities of predicting gendered word pairs like he and she. 
answer:

what kinds of male and female words are looked at?