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.

We tested the natural language representation against the visual-based and feature representations on several tasks, with varying difficulty. The tasks included a basic scenario, a health gathering scenario, a scenario in which the agent must take cover from fireballs, a scenario in which the agent must defend itself from charging enemies, and a super scenario, where a mixture of the above scenarios was designed to challenge the agent.
Question: What experiments authors perform?
a basic scenario, a health gathering scenario, a scenario in which the agent must take cover from fireballs, a scenario in which the agent must defend itself from charging enemies, and a super scenario, where a mixture of the above scenarios

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?
17,833 sentences, 826,987 characters and 2,714 question-answer pairs

We demonstrate our approach on the task of answering open-domain fill-in-the-blank natural language questions.
Question: What task do they evaluate on?
Fill-in-the-blank natural language questions