We used Amazon Mechanical Turk (MTurk) to collect new labels and explanations for SNLI-VE. 2,060 workers participated in the annotation effort, with an average of 1.98 assignments per worker and a standard deviation of 5.54. 
 Question: How many annotators are used to write natural language explanations to SNLI-VE-2.0?
2,060 workers