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

Data and code for CVPR 2020 paper: "VIOLIN: A Large-Scale Dataset for Video-and-Language Inference"

We introduce a new task, 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. A new large-scale dataset, named Violin (VIdeO-and-Language INference), is introduced for this task, which consists of 95,322 video-hypothesis 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. In order to address our new multimodal inference task, a model is required to possess sophisticated reasoning skills, from surface-level grounding (e.g., identifying objects and characters in the video) to in-depth commonsense reasoning (e.g., inferring causal relations of events in the video). We present a detailed analysis of the dataset and an extensive evaluation over many strong baselines, providing valuable insights on the challenges of this new task.

Violin Dataset

• Data Statistics

source	#episodes	#clips	avg clip len	avg pos. statement len	avg neg. statement len	avg subtitle len
Friends	234	2,676	32.89s	17.94	17.85	72.80
Desperate Housewives	180	3,466	32.56s	17.79	17.81	69.19
How I Met Your Mother	207	1,944	31.64s	18.08	18.06	76.78
Modern Family	210	1,917	32.04s	18.52	18.20	98.50
MovieClips	5,885	5,885	40.00s	17.79	17.81	69.20
All	6,716	15,887	35.20s	18.10	18.04	76.40

• Data will be released soon.

Baseline Models

• Model Overview

Usage

• Code and scripts will be released soon.