Figure 2: 
Accuracy on HANS when a small fraction of training data is removed. Removing non-entailment examples with high premise-hypothesis overlap significantly hurt performance compared with removing examples uniformly at random.

Accuracy on HANS when a small fraction of training data is removed. Removing non-entailment examples with high premise-hypothesis overlap significantly hurt performance compared with removing examples uniformly at random.

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