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: In Sec. "Materials and Methods" we discuss our materials and methods, including the dataset we studied, how we preprocessed that data and extracted a `causal' corpus and a corresponding `control' corpus, and the details of the statistical and language analysis tools we studied these corpora with.

Output: Do they use expert annotations, crowdsourcing, or only automatic methods to analyze the corpora?


Input: Consider Input: In the sentiment analysis experiments, we found that a tweet may contain multiple sentiments. The groundtruth labels contain 210 positive sentiments, 521 neutral sentiments, and 305 negative sentiments to the candidates.

Output: Is datasets for sentiment analysis balanced?


Input: Consider Input: The dataset contains approximately 30M utterances of fictional characters.


Output: How large is the dataset?