TutorialVQA: Question Answering Dataset for Tutorial Videos

Understand

Despite the number of currently available datasets on video question answering, there still remains a need for a dataset involving multi-step and non-factoid answers.

• Moreover, relying on video transcripts remains an under-explored topic.
• To adequately address this, We propose a new question answering task on instructional videos, because of their verbose and narrative nature.
• While previous studies on video question answering have focused on generating a short text as an answer, given a question and video clip, our task aims to identify a span of a video segment as an answer which contains instructional details with various granularities.