 We propose to automatically generate question-answer pairs from transcribed video narrations leveraging a state-of-the-art text transformer pipeline and obtain a new large-scale VideoQA training dataset .
<meaning-changed>  We propose to automatically generate question-answer pairs from transcribed video narrations leveraging a state-of-the-art text transformer pipeline and obtain a new large-scale VideoQA training dataset .
 We propose to automatically generate question-answer pairs from transcribed video narrations . Given narrated videos, we then automatically generate the HowToVQA69M dataset with 69M video-question-answer triplets .