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]: Our dataset is annotated based on Chinese pathology reports provided by the Department of Gastrointestinal Surgery, Ruijin Hospital. It contains 17,833 sentences, 826,987 characters and 2,714 question-answer pairs.
Question: How big is QA-CTS task dataset?
[A]: 17,833 sentences, 826,987 characters and 2,714 question-answer pairs

[Q]: We decided to use sentences involving at least one race- or gender-associated word. The sentences were intended to be short and grammatically simple. We also wanted some sentences to include expressions of sentiment and emotion, since the goal is to test sentiment and emotion systems.
Question: What criteria are used to select the 8,640 English sentences?
[A]: Sentences involving at least one race- or gender-associated word, sentence have to be short and grammatically simple, sentence have to include expressions of sentiment and emotion.

[Q]: We carried out a reliability study for the proposed scheme using two pairs of expert annotators, P1 and P2.
Question: do they use a crowdsourcing platform?
[A]:
No