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VIOLIN

A Large-Scale Dataset for Video-and-Language Inference

VIOLIN

A new large-scale dataset, named VIOLIN (VIdeO-and-Language INference), is introduced for this task, which consists of 95,322 videohypothesis pairs from 15,887 video clips, spanning over 582 hours of video. These video clips contain rich content with diverse temporal dynamics, event shifts, and people interactions, collected from two sources: (i) popular TV shows, and (ii) movie clips from YouTube channels.Video-and-Language Inference, for joint multimodal understanding of video and text. Given a video clip with aligned subtitles as premise, paired with a natural language hypothesis based on the video content, a model needs to infer whether the hypothesis is entailed or contradicted by the given video clip.

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Task
Scene Understanding
Annotation Types
Instance Segmentation
95322
Items
10
Classes
95322
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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