Before revision:  However, existing datasets  do not provide annotations for the gold evidence pieces, which is a critical aspect for improving the explainability of fact checking systems. The only exception is the FEVER dataset , which is artificially constructed based on Wikipedia and does not use naturally occurring political claims and evidence pages, which is more challenging. Most claims in FEVER only have one evidence sentence associated with them and require no reasoning to make label predictions -- the small number of instances with two evidence sentences only require simple reasoning . In this paper , we study how to perform more complex claim verification on naturally occurring claims with multiple hops over  evidence chunks.
After revision:  However, existing datasets do not provide annotations for gold evidence pages, or the only dataset which does (FEVER) mostly consists of claims which can be fact-checked with simple reasoning and is constructed artificially. Here , we study how to perform more complex claim verification on naturally occurring claims with multiple hops over evidence chunks.