TVQA is a large-scale video QA dataset based on 6 popular TV shows (Friends, The Big Bang Theory, How I Met Your Mother, House M.D., Grey's Anatomy, Castle). It consists of 152.5K QA pairs from 21.8K video clips, spanning over 460 hours of video. The questions are designed to be compositional, requiring systems to jointly localize relevant moments within a clip, comprehend subtitles-based dialogue, and recognize relevant visual concepts.
TVQA+ is a subset of TVQA dataset, additionally augmented with 310.8k bounding boxes, linking depicted objects to visual concepts in questions and answers.
Consists of 152.5K QA pairs from 21.8K clips, TVQA is one of the largest of its kind.
Questions are designed to be compositional, requiring both visual and textual cues.
QA pairs are Spatio-Temporally localized with bounding box and timestamp annotation.
TVQA videos are made from popular TV shows, the ones you'd love!