Instructions: 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.
Input: A causal attribution dataset is a collection of text pairs that reflect cause-effect relationships proposed by humans (for example, "virus causes sickness"). These written statements identify the nodes of the network (see also our graph fusion algorithm for dealing with semantically equivalent statements) while cause-effect relationships form the directed edges ("virus" $
ightarrow $ "sickness") of the causal attribution network.
Question: What are causal attribution networks?
Output:
networks where nodes represent causes and effects, and directed edges represent cause-effect relationships proposed by humans