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.

[EX Q]: We evaluate the generations with the ROUGE BIBREF29 and METEOR BIBREF30 metrics using the true sentences as targets.
Question: What metrics are used for evaluation?
[EX A]: ROUGE BIBREF29 and METEOR BIBREF30

[EX Q]: After Korektor, there are 4262 unique sentences (including 150 seed sentences) that form the COSTRA 1.0 dataset.
Question: How many sentence transformations on average are available per unique sentence in dataset?
[EX A]: 27.41 transformation on average of single seed sentence is available in dataset.

[EX Q]: To demonstrate the generality of NSA, we further present video captioning, machine translation, and visual question answering experiments on the VATEX, WMT 2014 English-to-German, and VQA-v2 datasets, respectively.
Question: What datasets are used for experiments on three other tasks?
[EX A]:
VATEX, WMT 2014 English-to-German, and VQA-v2 datasets